Low oxygen concentration inside the tumor microenvironment represents a major barrier for photodynamic therapy of many malignant tumors, especially urothelial bladder cancer. In this context, titanium dioxide, which has a low cost and can generate high ROS levels regardless of local O2 concentrations, could be a potential type of photosensitizer for treating this type of cancer. However, the use of UV can be a major disadvantage, since it promotes breakage of the chemical bonds of the DNA molecule on normal tissues. In the present study, we focused on the cytotoxic activities of a new material (Ti(OH)4) capable of absorbing visible light and producing high amounts of ROS. We used the malignant bladder cell line MB49 to evaluate the effects of multiple concentrations of Ti(OH)4 on the cytotoxicity, proliferation, migration, and production of ROS. In addition, the mechanisms of cell death were investigated using FACS, accumulation of lysosomal acid vacuoles, caspase-3 activity, and mitochondrial electrical potential assays. The results showed that exposure of Ti(OH)4 to visible light stimulates the production of ROS and causes dose-dependent necrosis in tumor cells. Also, Ti(OH)4 was capable of inhibiting the proliferation and migration of MB49 in low concentrations. An increase in the mitochondrial membrane potential associated with the accumulation of acid lysosomes and low caspase-3 activity suggests that type II cell death could be initiated by autophagic dysfunction mechanisms associated with high ROS production. In conclusion, the characteristics of Ti(OH)4 make it a potential photosensitizer against bladder cancer.
Low oxygen concentration inside the tumor microenvironment represents a major barrier for photodynamic therapy of many malignant tumors, especially urothelial bladder cancer. In this context, titanium dioxide, which has a low cost and can generate high ROS levels regardless of local O2 concentrations, could be a potential type of photosensitizer for treating this type of cancer. However, the use of UV can be a major disadvantage, since it promotes breakage of the chemical bonds of the DNA molecule on normal tissues. In the present study, we focused on the cytotoxic activities of a new material (Ti(OH)4) capable of absorbing visible light and producing high amounts of ROS. We used the malignant bladder cell line MB49 to evaluate the effects of multiple concentrations of Ti(OH)4 on the cytotoxicity, proliferation, migration, and production of ROS. In addition, the mechanisms of cell death were investigated using FACS, accumulation of lysosomal acid vacuoles, caspase-3 activity, and mitochondrial electrical potential assays. The results showed that exposure of Ti(OH)4 to visible light stimulates the production of ROS and causes dose-dependent necrosis in tumor cells. Also, Ti(OH)4 was capable of inhibiting the proliferation and migration of MB49 in low concentrations. An increase in the mitochondrial membrane potential associated with the accumulation of acid lysosomes and low caspase-3 activity suggests that type II cell death could be initiated by autophagic dysfunction mechanisms associated with high ROS production. In conclusion, the characteristics of Ti(OH)4 make it a potential photosensitizer against bladder cancer.
Despite recent advances
in the prevention and treatment of carcinomas,
urothelial bladder cancer (UBC) remains one of the most prevalent
and highly recurrent malignant neoplasms.[1] Responsible for 90% of bladder tumors, of which nearly 60 to 80%
are limited to regions above the muscular layers, the so-called nonmuscle
invasive bladder cancer includes the stages Cis, Ta, and T1.[2] In these subtypes, depending on the risk of progression
to the muscle invasive stage, the therapies have been continuously
based on the instillation of chemotherapy (mitomycin-C, epirubicin,
doxorubicin, pirarubicin, or gemcitabine) or BCG (bacillus Calmette-Guérin) and post-transurethral resection of the
tumor.[3] Other therapeutic options that
are under investigation include laser, photodynamic therapy (PDT),
radiation, chemoradiation, immunotherapy, gene therapy, and nanodrug
delivery systems using organic or nonorganic nanoparticles.[4] Although chemotherapy, surgery, and immunotherapy
have been practiced for decades, some patients with this kind of cancer
do not respond to treatment, either due to the severity of the disease
or the few available therapy options.[5−7] As a result, the search
for more specific therapeutic methods with fewer side effects is of
vital importance.Among the current treatments, PDT is usually
less invasive than
any surgical option.[8] It is based on the
antitumoral action of reactive oxygen species (ROS)[9] produced from the irradiation of photosensitizers (PSs)
by a specific wavelength of light in the presence of molecular oxygen.[10,11] Inorganic PS generally has a higher efficiency in converting light
to ROS production when compared to organic PS. Still, some studies
have also demonstrated that inorganic PS can be targeted to specific
tissues, which represents a great advantage in its use for photodynamic
therapy.[12]However, for many malignant
tumors, and especially for UBC, the
low concentration of oxygen inside the bladder and in the tumoral
microenvironment represents a major barrier for PDT.[7,13] The establishment of hypoxia is a common occurrence in many solid
neoplasia such as breast, ovary, head, and neck,[14] including bladder cancer. Turner et al.[15] demonstrated the high expression of a hypoxia marker, the
carbonic anhydrase 9 (CA IX), in regions of superficial and invasive
bladder tumors. Its expression was most intense on the luminal surface
of tumors, indicating the presence of chronic hypoxia. Therefore,
innovative PSs for ROS production, which do not depend on the local
molecular oxygen concentration, could enhance PDT activity in UBC
treatments.For mammalian cells under physiological conditions,
conventional
white titanium dioxide (TiO2) is a nontoxic,[14] stable,[11] and low-cost
material[11] that has promising photodynamic
properties for cancer treatment.[15] However,
like an n-type semiconductor with a high value of a 3.2 eV band gap,
TiO2 tends to produce a larger quantity of ROS when exposed
to the smallest wavelengths such as ultraviolet light (254 nm),[16,17] that in function of the mutagenic potential could have its application
in PDT restricted.[18] Striving to overcome
this limitation, our team developed a new PS with TiO2 nanoparticles
coated with peroxide groups (hereby referred to as Ti(OH)4).[18,19] The covalent binding of these peroxide groups
to the surfaces of nanoparticles shifts the band gap to about 2.3
eV,[18,19] hence allowing the Ti(OH)4 to
absorb visible light and present equivalent photocatalytic activity
when exposed to UV light and about 90% greater activity if compared
to common TiO2.[18] Furthermore,
it was demonstrated that the contact of Ti(OH)4 with water
can produce OH* radicals even after several photodegradation cycles.[18] Therefore, the use of Ti(OH)4 to
treat nonmuscle invasive bladder cancer can be extremely advantageous
compared to the PS used thus far.In this respect, the present
study aimed to determine the cytotoxic
effects of Ti(OH)4 and identify the main mechanisms of
action of PDT based on the use of Ti(OH)4 as a PS activated
by visible light on a bladder cancer cell line (MB49).
Results and Discussion
Influence of Ti(OH)4 Contact Time
and Activation on MB49 Cell Cytotoxicity
Although PDT is
one of the least invasive therapies, it still poses a challenge in
treating certain types of malignant neoplasms[20] with low local oxygen availability.[21] The development of a new class of PS that can exert an oxygen-independent
antitumor effect could increase the efficacy of PDT.[15,22] The photocatalytic properties of conventional TiO2 made
it widely popular for a variety of applications.[23] Depending on the morphological state, the characteristics
of TiO2 can change the way it interacts with biological
molecules, hence, determining its cytotoxic capacity.[23]In the present study, the cytotoxicity of Ti(OH)4 at different concentrations, whether or not activated by
visible light, was determined after 24 h of exposure in bladder tumor
cell (MB49) and no-tumor cell lines (L929). Figure C,D shows that both cell lines exposed to
inactivated Ti(OH)4 preserved their integrity, which was
practically equivalent to the untreated group. This can be attributed
to the fact that Ti(OH)4 is biocompatible in the absence
of light, and only activated Ti(OH)4 can produce high amounts
of reactive species after being exposed to light. In addition, a small
toxicity was noted for concentrations above 1 mg/mL, but this could
have been caused simply by an excess of nanometric material. However,
after photoactivation for 1 h (Figure A,B) and 24 h of culture, the toxicity of Ti(OH)4 significantly increased over the tumor cell (Figure C), regardless of the amount
of Ti(OH)4 used. Comparing the time periods for the culture
exposed to different amounts of Ti(OH)4 activated by 1
h of visible light (Figure E,F), the 12 h culture produced the greatest cytotoxic effect
for tumor cells.
Figure 1
Cytotoxicity assay of nontumor (L929) and bladder tumor
(MB49)
cells exposed to Ti(OH)4 at the following concentrations:
0.25; 0.5; 1.0; 5.0; and 10.0 mg/mL under different conditions (n = 4). (A) System composed of a box (10.5 × 22 ×
23 cm) containing a visible light led activated the Ti(OH)4. Image obtained experimentally by the author. (B) Visible light
system designed to release about 5.16 mW/cm2 of energy,
distributed by photons with a wavelength between 400 and 750 nm containing
two peaks (440 and 550 nm) and a valley at 475 nm. (C) MB49 and (D)
L929 exposed to Ti(OH)4 activated or not activated by visible
light (1 h) and immediately incubated for 24 h in the dark. (E) Comparison
of measuring the cytotoxicity of MB49 and L929 cells when exposed
to Ti(OH)4 activated for 1 h under visible light and incubated
for 12 h in the dark. (F) Comparison of measuring the cytotoxicity
of MB49 and L929 cells when exposed to Ti(OH)4 activated
for 1 h under visible light and incubated for 24 h in the dark. Points
represent mean values ± the mean standard error (SEM). Statistical
differences were established by two-way ANOVA with posthoc analysis
using Dunnett’s test. Statistically significant values were p < 0.001 (***); p < 0.01 (**); p < 0.1 (*).
Cytotoxicity assay of nontumor (L929) and bladder tumor
(MB49)
cells exposed to Ti(OH)4 at the following concentrations:
0.25; 0.5; 1.0; 5.0; and 10.0 mg/mL under different conditions (n = 4). (A) System composed of a box (10.5 × 22 ×
23 cm) containing a visible light led activated the Ti(OH)4. Image obtained experimentally by the author. (B) Visible light
system designed to release about 5.16 mW/cm2 of energy,
distributed by photons with a wavelength between 400 and 750 nm containing
two peaks (440 and 550 nm) and a valley at 475 nm. (C) MB49 and (D)
L929 exposed to Ti(OH)4 activated or not activated by visible
light (1 h) and immediately incubated for 24 h in the dark. (E) Comparison
of measuring the cytotoxicity of MB49 and L929 cells when exposed
to Ti(OH)4 activated for 1 h under visible light and incubated
for 12 h in the dark. (F) Comparison of measuring the cytotoxicity
of MB49 and L929 cells when exposed to Ti(OH)4 activated
for 1 h under visible light and incubated for 24 h in the dark. Points
represent mean values ± the mean standard error (SEM). Statistical
differences were established by two-way ANOVA with posthoc analysis
using Dunnett’s test. Statistically significant values were p < 0.001 (***); p < 0.01 (**); p < 0.1 (*).The tumor microenvironment is characterized by hypoxia and other
byproducts of tumor cell metabolism,[24] which
adapt to survive and respond to the increased energy demanded by their
high proliferative rate.[24] Highly populated
neoplastic areas contain several clones whose sensitivity to oxidative
stress varies, generating resistance to hypoxia, which is unusual
in healthy cell populations. The results of viability of the MB49
cell line after 24 h of treatment showed higher values in comparison
with 12 h. It is likely that clones that survived the initial dose
of Ti(OH)4 were able to proliferate and partially recompose
the tumor population (Figure E).Moreover, the L929 nontumor line was unaffected
by the presence
of Ti(OH)4 up to 4 mg/mL after 12 h (Figure E) and up to 16 mg/mL after 24 h of exposure
(Figure F), a distinction
that could make Ti(OH)4 advantageous to use in bladder
tumor cell selectivity. We chose L929 lineage for this study, because
its commonly used as a reference for the assessment of cytotoxicity
on tumor cells,[25] besides being very sensitive
to reactive oxygen intermediates[26] and
having its behavior well established.[27]Due to the preference for glycolysis to obtain energy, cancer
cells,
even under aerobic conditions, have a higher metabolism and intrinsic
production of ROS than normal cells. Although the antioxidant mechanisms
of neoplastic cells are also greater, their antioxidant compensation
capacity ends up being completely compromised, making it impossible
to adapt to a situation of greater demand. Unlike normal cells, this
means that neoplastic cells cannot withstand an additional increase
in ROS levels, and therefore, treatments that increase ROS levels
end up producing a selective cytotoxic effect on tumor cells.[28] In this sense, the L929 cells, despite being
immortalized, do not have an origin from malignant cells, unlike the
MB49 lineage, which was obtained by carcinogenic induction. In this
case, we can speculate that the L929 strain has a higher threshold
of resistance to additional external production of ROS than MB49.
It has already been shown that L929 cells have a greater ability to
survive under oxidative stress than the cancer lines MDA-MB-231, MCF-7,
and T47D.[29]
Effect
of Activated Ti(OH)4 on
Intracellular ROS Levels
The successful use of PDT as an
anticancer treatment depends on the capacity of the PS to produce
ROS and cause intracellular oxidative stress.[7] Usually, oxide photocatalysts just absorb photons to produce electron/hole
pairs that will produce ROS from the molecular oxygen available around
the nanoparticle.In the case of Ti(OH)4 instead
of molecular O2, the electron acceptor is the peroxide
group bonded to the surface of nanoparticle. Since the photoexcited
electron is formed after the absorption of visible light by the peroxide
groups on the surface, the process seems to be similar to the generation
of hydroxyl radicals from the reduction of hydrogen peroxide (Figure ).[18] Since Ti(OH)4 is a mixture of anatase and rutile,
the amount of peroxide groups is consumed to produce ROS;[22] however, the material has almost 1 mol of peroxide
molecule per gram of nanoparticles, which is a huge amount of oxygen
that allows the system to be active during several cycles without
a significant decrease of reactivity.[18,19]
Figure 2
Proposed mechanism
for ROS generation by Ti(OH)4. Photocatalytic
degradation of RhB of Ti(OH)4 in the presence of TBA under
visible light irradiation. The decrease in the bar represents the
production and capture of OH* by TBA.
Proposed mechanism
for ROS generation by Ti(OH)4. Photocatalytic
degradation of RhB of Ti(OH)4 in the presence of TBA under
visible light irradiation. The decrease in the bar represents the
production and capture of OH* by TBA.Thus, ROS levels of MB49 cells were determined after exposure to
Ti(OH)4 activated by visible light (1 h). Probably due
to the extremely short half-life of free radicals, most of the ROS
responsible for the oxidation of the H2DCF marker are of intrinsic
origin. In our case, we can speculate that the ROS detected is more
related to the oxidizing activity of internalized Ti(OH)4 than to ROS production in the extracellular environment. Work with
nanoparticles has shown that the smaller the nanoparticle, the faster
there is the detection of intracellular ROS through DCF oxidation.[30]Figure shows that
the amount of ROS in MB49 cells exposed to a concentration of 0.5
mg/mL of Ti(OH)4 was significantly higher compared to the
untreated control group. This apparent difference in the relative
amounts of ROS can be explained by the specific surface area of nanometric
materials.[31−33] Usually, atoms at the surface of nanoparticles exhibit
higher energy than those localized on the surface of conventional
materials due to the elevated number of unsatisfied chemical bonds.[34,35] However, although the typical particle size of Ti(OH)4 is 5 nm, they can form large agglomerates of up to approximately
800 nm depending on the amount of material added into the system.[18,19,22] This could explain the behavior
of the intracellular ROS measurement found in the present study, since
the highest concentrations tested can clump together, reducing the
apparent catalytic surface area, consequently producing less ROS,
as demonstrated in the literature data.[31,34]
Figure 3
Quantification
of intracellular ROS in MB49 cells exposed to Ti(OH)4 activated
for 1 h with visible light at the following concentrations:
0.25; 0.5; 1.0; 5.0; 10.0 mg/mL (n = 4). H2O2 solution was used as a positive control to induce oxidative
stress in cells (10 μmol/L for 30 min of exposure). Cells without
any treatment were used as a negative control (CT). Columns represent
mean values ± mean standard error (SEM). Statistical differences
were established by one-way ANOVA with posthoc analysis using the
Tukey’s test. Groups with different letters were considered
statistically different from each other with p <
0.01.
Quantification
of intracellular ROS in MB49 cells exposed to Ti(OH)4 activated
for 1 h with visible light at the following concentrations:
0.25; 0.5; 1.0; 5.0; 10.0 mg/mL (n = 4). H2O2 solution was used as a positive control to induce oxidative
stress in cells (10 μmol/L for 30 min of exposure). Cells without
any treatment were used as a negative control (CT). Columns represent
mean values ± mean standard error (SEM). Statistical differences
were established by one-way ANOVA with posthoc analysis using the
Tukey’s test. Groups with different letters were considered
statistically different from each other with p <
0.01.
Influence
of the Number of Re-exposures to
Activated Ti(OH)4 on the Cytotoxicity of MB49 Cells
Most photosensitizers used in PDT are degraded by light.[36,37] This characteristic can be advantageous or disadvantageous in the
face of cancer treatment, since the therapy time may not be sufficient
for the destruction of the tumor tissue if the photosensitizer undergoes
rapid photodegradation during the lighting period.[36−38] This aspect
can be corrected by decreasing the light intensity, followed by multiple
exposures to PDT.[39]An analysis of
the effect of repeated treatments was performed by exposing MB49 cells
to up to three successive repetitions of PDT using different amounts
of activated Ti(OH)4, with 12 h of incubation between treatments. Figure A shows that for
the first or second exposure, the toxicity of Ti(OH)4 increases
in a dose-dependent manner. After the third dose, the toxicity reached
the highest value, regardless of the concentration range studied (0.1
to 10 mg/mL). Figure B shows a decrease in cell density in comparison with the control
group as well as changes in the characteristic phenotype of the cell
line as of the first exposure. This result falls in line with the
decreased metabolic rates shown in the trial.
Figure 4
(A) Cytotoxicity assay
of MB49 cells exposed to Ti(OH)4 in three re-exposure regimes
at the following concentrations: 0.1;
0.5; 1.0; 5.0 and 10.0 mg/mL (n = 4). Treatment I:
Exposure of one dose of Ti(OH)4 and quantification of cytotoxicity
after 12 h of incubation in the dark. Treatment II: Exposures of two
doses of Ti(OH)4 with intermediate 12 h cultivation intervals
and quantification of cytotoxicity after 24 h of incubation in the
dark. Treatment III: Exposures of three doses of Ti(OH)4 with intermediate 12 h cultivation intervals and quantification
of cytotoxicity after 36 h of incubation in the dark. The columns
represent the mean values of the groups ± the standard error
of the mean (SEM). Statistical differences were established by two-factor
ANOVA with posthoc analysis using the Dunnett test. Statistically
significant values (***) p < 0.001. (B) Representative
image of the morphological changes of MB49 cells exposed to a regimen
of three subsequent doses of Ti(OH)4 at a concentration
of 0.5 mg/mL. Images captured at 20× magnification.
(A) Cytotoxicity assay
of MB49 cells exposed to Ti(OH)4 in three re-exposure regimes
at the following concentrations: 0.1;
0.5; 1.0; 5.0 and 10.0 mg/mL (n = 4). Treatment I:
Exposure of one dose of Ti(OH)4 and quantification of cytotoxicity
after 12 h of incubation in the dark. Treatment II: Exposures of two
doses of Ti(OH)4 with intermediate 12 h cultivation intervals
and quantification of cytotoxicity after 24 h of incubation in the
dark. Treatment III: Exposures of three doses of Ti(OH)4 with intermediate 12 h cultivation intervals and quantification
of cytotoxicity after 36 h of incubation in the dark. The columns
represent the mean values of the groups ± the standard error
of the mean (SEM). Statistical differences were established by two-factor
ANOVA with posthoc analysis using the Dunnett test. Statistically
significant values (***) p < 0.001. (B) Representative
image of the morphological changes of MB49 cells exposed to a regimen
of three subsequent doses of Ti(OH)4 at a concentration
of 0.5 mg/mL. Images captured at 20× magnification.
Determining the Type of Cell Death
The type of cell death induced by PDT depends on the cell type, the
characteristics of the PS agent (mechanical, optical, electrical,
dimensional, morphological, degree of degradability, and surface reactivity),
the intracellular location, its concentration, light intensity and
excitation wavelength, and amount of molecular oxygen available in
the tissues.[8,40] Apoptosis can be induced at lower
therapeutic doses[42] by enzymatic activation
of the Bcl-2 (Bax/Bcl-2) or the caspase-3 family.[42] On the other hand, higher doses of PDT tend to cause cell
death by necrosis, because PDT has a high capacity to produce ROS[43] and can mainly affect the signaling pathways
of proteases and calpains.[44] The results
of our experiments submitted to flow cytometry showed that the application
of three doses of Ti(OH)4 (0.5 mg/mL) predominantly induced
cell death by necrosis (80%) in MB49 bladder tumor cells (Figure ), in addition to
a minimal amount of apoptotic cell death (0.68%). This may be directly
related to the ability of Ti(OH)4 to produce large amounts
of ROS (Figure ) without
requiring molecular oxygen, as in the case of urothelial carcinoma
of the bladder. Thus, repetition therapy was able to cause tumor cell
necrosis, which can be corroborated by previous studies.[41−43]
Figure 5
Identification
of the type of cell death caused in MB49 cells exposed
to three doses of Ti(OH)4 at a concentration of 0.5 mg/mL
at 12 h intervals. Untreated control group exposed to H2O2 (10 μM for 2 h). Quantification by flow cytometry.
(A) Graphs of fluorescent conjugates of 7AAD vs annexin V used to
classify subpopulations into: (Q1) cell population in cell death by
necrosis; (Q2) population of cells in the final stage of cell death
by apoptosis; (Q3) population of cells in the early stages of cell
death by apoptosis; (Q4) predominantly viable cell population. (B)
Horizontal bar graph showing the significant amounts of live, apoptotic,
and necrotic cells present in each analyzed group ± SEM. Statistical
differences were established by two-way ANOVA with posthoc analysis
using the Bonferroni test. Statistically significant values (***) p < 0.001. On the side, a numerical graph shows the predominance
of each subpopulation of cells for each analyzed group.
Identification
of the type of cell death caused in MB49 cells exposed
to three doses of Ti(OH)4 at a concentration of 0.5 mg/mL
at 12 h intervals. Untreated control group exposed to H2O2 (10 μM for 2 h). Quantification by flow cytometry.
(A) Graphs of fluorescent conjugates of 7AAD vs annexin V used to
classify subpopulations into: (Q1) cell population in cell death by
necrosis; (Q2) population of cells in the final stage of cell death
by apoptosis; (Q3) population of cells in the early stages of cell
death by apoptosis; (Q4) predominantly viable cell population. (B)
Horizontal bar graph showing the significant amounts of live, apoptotic,
and necrotic cells present in each analyzed group ± SEM. Statistical
differences were established by two-way ANOVA with posthoc analysis
using the Bonferroni test. Statistically significant values (***) p < 0.001. On the side, a numerical graph shows the predominance
of each subpopulation of cells for each analyzed group.Subsequent doses can cause progressive cumulative damage
to cell
structures and affect clones that may resist oxidative stress better.[25] Other studies found that irreversible damage
caused by PDT in tumor cells has been linked to necrotic cell death
associated with caspase-independent autophagy,[41,45] resulting from mitochondrial and lysosomal dysfunction.[46,47] Autophagy is a process commonly known as cellular resistance and
survival to stress.[48] It involves the uptake
of dysfunctional cytoplasmic proteins and organelles by double-membrane
vesicles, which fuse with lysosomes to form autolysosomes, where degradation
of cell structures occurs.[40−51] Studies have shown that a high concentration of intracellular ROS
can stimulate the direct activation of autophagy.[52,53] Some therapies have used the strategy of autophagic induction in
tumor cells[54] to support the response of
chemotherapeutic agents.[55] In this case,
increased oxidative stress increases intracellular damage and can
cause the accumulation of vacuoles that serve to remove the damaged
organelles, initiating cell death.[56,57]Therefore,
we compared a possible lysosomal dysfunction with mitochondrial
membrane potential and caspase-3 activity to identify the main factor
triggering cell death after PDT using Ti(OH)4.Since
mitochondrial functions are mainly affected by increased
oxidative stress, the electrical potential of mitochondrial membranes
was analyzed by incorporation of rhodamine 123. This is a cationic
fluorochrome that is attracted by changes in the level of mitochondrial
integrity and can be detected by the increase of cytosolic green fluorescence.
In Figure A, it can
be seen that PDT treatment with Ti(OH)4 in MB49 cells caused
a significant difference in electrical potential, which can be explained
by the large amount of ROS produced when Ti(OH)4 was exposed
to visible light.
Figure 6
Quantification of acidic lysosomal vacuoles, caspase-3
activation,
and mitochondrial electrical potential of MB49 cells exposed to Ti(OH)4 at a concentration of 6 μg/mL activated for 1 h of
visible light for 1 and 12 h of incubation in the dark. (A) Qualitative
assay of mitochondrial membrane potential: cell images showing the
difference in fluorescence intensity produced by exposure of cells
to rhodamine 123 in the control group (lower fluorescence intensity)
compared to the treated group (higher fluorescence intensity). The
opposite bar graph quantitatively compares the mean relative fluorescence
intensity ± SEM of the treated group compared to the control
group. Statistically significant values (**) p <
0.01. Images were acquired at 40× magnification. (B) Neutral
red assay of acid lysosomal vacuole quantification: bar graph of intracellular
acid vacuole excess unit indices (AUU) calculated by mean ± SEM
with data collected from viability assays in relation to neutral red
uptake (AAU) > 1 represents type II cell death). Statistically
significant
values (***) p < 0.001. (C) Qualitative assay
lysosomal acid vacuoles: images of MB49 cells exposed to the acridine
orange fluorophore, showing the morphological differences between
the control group that exhibits intense fluorescent activity in the
nucleus (FITC filter 525 nm), compared to the groups treated with
Ti(OH)4, which exhibits little fluorescent activity in
the nucleus, which contains granulations with greater fluorescent
intensity in the cytoplasm (Texas Red Filter 650 nm). Images were
acquired at 40× magnification. (D) Bar graph comparing the mean
caspase-3 enzyme activity ± SEM of the treated group in relation
to the control group, which quantified the enzyme activity by applying
the EnzChek Caspase-3 kit.
Quantification of acidic lysosomal vacuoles, caspase-3
activation,
and mitochondrial electrical potential of MB49 cells exposed to Ti(OH)4 at a concentration of 6 μg/mL activated for 1 h of
visible light for 1 and 12 h of incubation in the dark. (A) Qualitative
assay of mitochondrial membrane potential: cell images showing the
difference in fluorescence intensity produced by exposure of cells
to rhodamine 123 in the control group (lower fluorescence intensity)
compared to the treated group (higher fluorescence intensity). The
opposite bar graph quantitatively compares the mean relative fluorescence
intensity ± SEM of the treated group compared to the control
group. Statistically significant values (**) p <
0.01. Images were acquired at 40× magnification. (B) Neutral
red assay of acid lysosomal vacuole quantification: bar graph of intracellular
acid vacuole excess unit indices (AUU) calculated by mean ± SEM
with data collected from viability assays in relation to neutral red
uptake (AAU) > 1 represents type II cell death). Statistically
significant
values (***) p < 0.001. (C) Qualitative assay
lysosomal acid vacuoles: images of MB49 cells exposed to the acridine
orange fluorophore, showing the morphological differences between
the control group that exhibits intense fluorescent activity in the
nucleus (FITC filter 525 nm), compared to the groups treated with
Ti(OH)4, which exhibits little fluorescent activity in
the nucleus, which contains granulations with greater fluorescent
intensity in the cytoplasm (Texas Red Filter 650 nm). Images were
acquired at 40× magnification. (D) Bar graph comparing the mean
caspase-3 enzyme activity ± SEM of the treated group in relation
to the control group, which quantified the enzyme activity by applying
the EnzChek Caspase-3 kit.Thus, when analyzing the incorporation of neutral red dye inside
MB49 cells, in Figure B, it was possible to verify that the correlation between the accumulation
of acidic lysosomal vacuoles and cell viability under such conditions,
presented values above 1, which is indicative of type II cell death.
Likewise, in the analysis of the incorporation of the orange acridine
fluorophore, in Figure C, it is possible to notice the greater acidification of the cytoplasmic
content compared to the control group.[58] Therefore, PDT using Ti(OH)4 causes the accumulation
of late lysosomes in bladder cancer cells.In turn, Figure D shows that there
was no increase in caspase-3 enzymatic activity
in the treated group, which can be interpreted as inhibition of the
apoptotic cell death pathway. This observation is in agreement with
the literature.[59]These results suggest
that the difference in mitochondrial membrane
potential caused by oxidative stress in MB49 cells exposed to Ti(OH)4 could have triggered the accumulation of lysosomal acid vesicles
inside the tumor cells. However, large amounts of acidic vesicles
are known to lead to type II cell death.[60] Thus, our data suggest that necrotic cell death caused by Ti(OH)4 therapy may be initiated by dysfunctions in the autophagic
process. However, more data is needed to support our hypothesis.
Effect of Ti(OH)4 on the Clonogenic
and Migratory Capacity of MB49 Cells
In addition to the cytotoxic
capacity of PS as an important and determinant material in photodynamic
treatments, strategies against proliferation and metastatic processes
have also being targeted in therapeutic studies. For metastasis to
be successful, a series of barriers must be overcome: tumor cells
must detach from the primary site, reach the blood or lymphatic stream,
resist the pressure from blood vessels, extravasate, adapt to the
new microenvironment, and resist attacks from the immune system.[61,62] As pointed out by Weng et al.,[63] PDT
can reduce the number of tumor cells and prevent them from migrating
to adjacent tissues, since the oxidative stress produced during treatment
is able to block blood vessels[63−65] and decrease tumor recurrence.
Similarly, other studies have shown that autophagy can also play an
important role in the metastatic process.[66,67] The formation of autolysosomes can produce focal adhesion complexes
that decrease cell motility.[67,68]As seen in Figure , a concentration
below the cytotoxic concentration (6 μg/mL), thus incapable
of causing MB49 cell death, was used to ensure that only the therapeutic
mechanisms of action could be observed. Figure A,B shows that only one dose of Ti(OH)4 was not enough to inhibit the proliferative capacity of MB49
cells, given that the tumor cells showed a significant increase in
the number of colonies after the postincubation period. However, therapy
was able to completely inhibit proliferation and prevent colony formation
after exposure to three doses. The clonogenic assay, with its ability
to quantify cell growth and cytotoxic or genotoxic effects, has been
used as a standard tool to evaluate compounds with antineoplastic
action. Our results could indicate that even a cell localized deep
within the tumor and submitted to a sublethal dose of the compound
could be prevented from colonizing new sites.
Figure 7
Effect on colony formation
and migration of MB49 cells after exposure
to three subsequent doses of Ti(OH)4 at a concentration
of 6 μg/mL activated by 1 h of light and 12 h of incubation
in the dark (n = 4). (A) Qualitative assay colony
formation: image corresponding to representative replica of three
independent experiments cultivated for 5 days after the respective
exposures, showing the inhibition of cell proliferation exposed to
a concentration below sublethal. Image obtained experimentally by
the author. (B) Quantitative assay colony formation: number of colonies
normalized in relation to the control group, statistically showing
the differences found in the qualitative assay. The columns represent
the mean values of the groups and the standard error of the mean (SEM).
Statistical differences were established by a two-way ANOVA test with
posthoc analysis using Dunnett’s test. Statistically significant
values (***) p < 0.001. (C) Qualitative assay
cell migration: image corresponding to a representative replica of
three independent experiments after three subsequent doses and analyzed
after 0, 12, 24, and 48 h of exposure, showing the inhibition of cell
migration to the determined space when exposed to a concentration
below sublethal. Images with 20× magnification. (D) Quantitative
assay cell migration: bar graph comparing the mean ± SE SEM measurements
of the relative cell free area over the four time intervals. The columns
represent the mean values of the groups and the SEM. Statistical differences
were established by two-way ANOVA with posthoc analysis using the
Dunnett’s test. Statistically significant values (***) p < 0.001; (*) p < 0.1.
Effect on colony formation
and migration of MB49 cells after exposure
to three subsequent doses of Ti(OH)4 at a concentration
of 6 μg/mL activated by 1 h of light and 12 h of incubation
in the dark (n = 4). (A) Qualitative assay colony
formation: image corresponding to representative replica of three
independent experiments cultivated for 5 days after the respective
exposures, showing the inhibition of cell proliferation exposed to
a concentration below sublethal. Image obtained experimentally by
the author. (B) Quantitative assay colony formation: number of colonies
normalized in relation to the control group, statistically showing
the differences found in the qualitative assay. The columns represent
the mean values of the groups and the standard error of the mean (SEM).
Statistical differences were established by a two-way ANOVA test with
posthoc analysis using Dunnett’s test. Statistically significant
values (***) p < 0.001. (C) Qualitative assay
cell migration: image corresponding to a representative replica of
three independent experiments after three subsequent doses and analyzed
after 0, 12, 24, and 48 h of exposure, showing the inhibition of cell
migration to the determined space when exposed to a concentration
below sublethal. Images with 20× magnification. (D) Quantitative
assay cell migration: bar graph comparing the mean ± SE SEM measurements
of the relative cell free area over the four time intervals. The columns
represent the mean values of the groups and the SEM. Statistical differences
were established by two-way ANOVA with posthoc analysis using the
Dunnett’s test. Statistically significant values (***) p < 0.001; (*) p < 0.1.Therefore, the cell migration assay assessed the migratory
capability
of cells toward the chemostatic gradient. As shown in Figure C,D, there were no cells in
the scratched region after 48 h of re-exposure to three doses of activated
Ti(OH)4, whereas grouped cells were observed in the control
group after 24 h of culture. In fact, this result may be directly
related to the inhibition of the migratory capability of MB49 following
PDT, since the variable proliferation was discarded when the FBS was
removed from the cell medium. In addition, cells showed no proliferative
capacity after re-exposure of three doses of Ti(OH)4, as
can also be seen in the cell proliferation assay (Figures A,B).Noninvasive bladder
cancers represent 60 to 80% of cases.[2] Even
though it has a low rate of invasion and
a high chance of patient survival, approximately 30% of these neoplasms
tend to progress to invasive muscle and pose a risk of patient survival.[69] Thus, PDT treatment using Ti(OH)4in situ (Cis), noninvasive papillary (Ta), and
lamina propria (T1) stages may represent a great perspective in the
development of therapy and disease eradication. Following this reasoning,
the superficial layers of the bladder are the compartments with the
greatest propensity to receive particle instillation and exposure
to visible light with less invasiveness, which consequently leads
to a more effective treatment.PDT-based therapy using Ti(OH)4 can employ intravesical
installation to concentrate the compound in the tumoral area. We speculate
that the increased permeability caused by the loss of umbrella cells
during the tumoral development could facilitate the concentration
of Ti(OH)4 particles in the affected tissue, potentializing
their action over the tumoral area and diminishing the occurrence
of off-target effects. While the urothelium is considered impenetrable
to most substances contained in the urine,[70] urothelial cancer cells can internalize more particles than normal
umbrella cells.[71]
Conclusion
In conclusion, Ti(OH)4 can inhibit
the proliferation
and mobility of MB49 cells at low concentrations and induce death
by necrosis at high concentrations. We speculate that the death caused
during therapy is possibly activated by mechanisms of mitochondrial
and lysosomal dysfunction caused by alterations in the oxidative environment
promoted by the high production of ROS.
Materials
and Methods
Synthesis of Ti(OH)4
Ti(OH)4 was synthesized using the oxidant peroxo method (OPM), a
wet-chemical route that allows titanium atoms at the surface to bond
to two oxygen atoms, forming a peroxide group, which gives its yellow
color.[18] In this method, 3 mL of titanium
isopropoxide was added to 40 mL of hydrogen peroxide and heated to
80 °C to form a yellow gel. The gel was dried at 60 °C for
24 h to form a Ti(OH)4 powder. The obtained Ti(OH)4 powder presented an average size of 5 nm. The material presented
a thin layer (up to 8%) of peroxide groups in relation to the total
mass and a band gap of 2.3 eV, which allowed it to be activated by
visible light.[19,22]
ROS Identification
Produced by Ti(OH)4
For the ROS identification,
photodegradation of
rhodamine B (RhB, P.A., Synth) under visible light was used. In a
usual process, 50.0 mg of the Ti(OH)4 was added to 50.0
mL of RhB solution (1 × 10–5 mol L–1). The solution was placed in ultrasound, for greater dispersion
of the particles, and left at 30 min in the dark, under constant agitation
at 25 °C, for molecular adsorptive balance. After that, the visible
light lamps (6 × 15W, Philips TL-D) were switched on, and an
aliquot was removed after 30 min of irradiation. The aliquot was analyzed
on an absorption spectrophotometer in the UV–vis region (V-660
spectrophotometer (JASCO)), monitoring the decrease in the characteristic
RhB peak at 554 nm. The process was repeated four more times, adding tert-butyl alcohol (TBA, 99%, Aldrich) to identify OH*.[72] According to the inhibition of photocatalytic
efficiency, it is associated with the reactive species.
L929 and MB49 Cell Cultures
Murine
fibroblast cell line (number cycle: 7, L929-ATCC-CCL-1) and murine
transitional carcinoma cell line (MB49 – NCI Thesaurus Code:
C25823), courtesy of Dr. Yi Lou (University of Iowa), were cultivated
in Dulbecco’s Modified Eagle Medium (DMEM) supplemented with
a high glucose concentration of l-glutamine (2 mmol/L, Cultilab,
Campinas, Brazil), 10% fetal bovine serum (FBS, Cultilab), and 1%
penicillin + streptomycin (Vitrocell Embriolife,
Campinas, Brazil) (i.e., complete medium). Cells were maintained in
a humid incubator at 37 °C and 5% CO2.
Cytotoxicity of Ti(OH)4 in the
Absence and Presence of Visible Light
L929 and MB49 cells
were seeded in 96-well culture plates (Corning, NY, USA) at a concentration
of 1 × 105 cells/well in a complete DMEM culture medium
and allowed to adhere. Cells were exposed to a suspension of Ti(OH)4 at the following concentrations: 10.0; 5.0; 1.0; 0.5; and
0.25 mg/mL in conjunction with a negative control composed of untreated
cells. One of the plates containing cells and Ti(OH)4 was
kept incubated in the dark for the entire experimental period to investigate
the action of inactivated Ti(OH)4. A second plate was placed
for 1 h in a box (10.5 × 22 × 23 cm) containing a visible
light source designed to activate the Ti(OH)4 (12 W power
white LED, 1170 lm, 6000k color temperature at an irradiation distance
of 15 cm), which released about 5.16 mW/cm2 of energy in
the cell culture line as measured by the equipment (PM20HC - ThorLabs,
USA). This energy was distributed by photons with a wavelength between
400 and 750 nm, containing two peaks (440 and 550 nm) and a valley
at 475 nm (Figure ). Since cell culture plates are made of plastic with no reflectance
capability, they were placed in a closed box with the side walls and
bottom covered with reflective material.After this procedure,
both plates were incubated in the dark for 12 and 24 h, and the resulting
cells were washed with phosphate-buffered saline (PBS 1×). A
cell toxicity test was performed by adding 200 μL/well of resazurin
(70 μmol/L solution, Sigma-Aldrich, USA) in PBS 1×. Absorbance
was measured in a spectrophotometer with wavelengths of 570 and 600
nm.[73]
Intracellular
Reactive Oxygen Species Quantification
Assay
MB49 cells were seeded in 96-well black wall plates
(Corning, NY, USA) at a concentration of 1 × 105 cells/well
and exposed to a complete medium with Ti(OH)4 activated
for 1 h with visible light. A solution of 10 μmol/L of H2O2 was used (30 min of exposure) as a positive
control to induce oxidative stress in the cells. Cells without any
treatment were used as a negative control. After the exposure period,
the cells were washed with PBS (1×) and labeled with 30 μL
of a 100 μmol/L solution of 2′,7′-dichlorofluorescein
diacetate (DCF-DA) (Sigma-Aldrich, USA). Fluorescence readings were
taken using the Spectra Max i3 (Molecular Devices) with 485–530
nm excitation.[74]
Cytotoxicity
of MB49 Cells in Relation to
Re-Exposure to Activated Ti(OH)4
MB49 cells were
subjected to three exposure designs (one, two, or three doses) for
the following different concentrations to assess the effects of re-exposure
to activated Ti(OH)4 (1 h): 10.0; 5.0; 1.0; 0.5; 0.1 mg/mL
in accordance with the following protocols: DESIGN 1: exposure of
one dose and quantification of toxicity after 12 h; DESIGN 2: exposures
of two doses with intermediate 12 h cultivation intervals and quantification
of toxicity after 24 h; DESIGN 3: exposures of three doses with intermediate
cultivation intervals of 12 h and quantification of toxicity after
36 h. Cells were washed with PBS (1×) before each re-exposure,
and a newly activated composite medium was reintroduced.
Effect on Clonogenic Capacity of MB49 Cells
in Relation to Re-Exposure to Activated Ti(OH)4
MB49 cells were seeded in six-well plates (Corning, NY, USA) at a
concentration of 300 cells/well under the same incubation conditions
as the experiment described in Section , except that the cells were washed with
PBS (1×), and kept in complete DMEM culture medium for 5 days
after the respective periods of exposure to Ti(OH)4. In
this assay, a noncytotoxic concentration (6.0 μg/mL), which
inhibited proliferation without causing defined cell death, was chosen
to analyze the mechanism of inhibiting colony formation. This procedure
was optimized in previous tests (data not shown). Resulting cells
were fixed in absolute methanol and stained with 0.1% crystal violet
(Corning, NY, USA). The digitized images of the colonies were analyzed
using the ImageJ software.[75]
Effect of Activated Ti(OH)4 on
Cell Migration Assessed by the Risk Closure Assay (Wound Healing Assay)
MB49 cells were seeded in 12-well plates (Corning, NY, USA) at
a concentration of 5 × 105 cells/well. The cells were
maintained for 24 h in DMEM supplemented with 1% FBS to ensure basal
activity levels. A scratch was performed in the central portion of
the well with a 200 μL tip and a sterile ruler. Next, the wells
were carefully washed with PBS (1×) to remove cell debris from
the scratched area. Cells were treated with three doses of Ti(OH)4 at a concentration of 6.0 μg/mL, just as described
in Section . Images
were captured after 12, 24, and 48 h with an inverted microscope coupled
with an image capture system. The area of closure by cell migration
was measured with the ImageJ software, and the percentage of closure
was calculated as described below.[76,77]where A is the measurement
of the streaked area immediately
after determination and A is the streaked area measured at 12, 24, or 48 h after incubation.
Characterization of Cell Death after Treatment
with Activated Ti(OH)4
Identification
of the Type of Cell Death
MB49 cells were seeded in 12-well
plates (Corning, NY, USA) and
treated with activated Ti(OH)4 (0.5 mg/mL). An aliquot
of 10 μmol/L of H2O2 (2 h exposure) was
used as a positive control, and an untreated culture was used as a
negative control. After applying the three-dose Ti(OH)4 treatment described in Section , cells were centrifuged at 320g for
10 min at 4 °C, carefully washed with PBS (1×), and suspended
in 200 μL of binding buffer. Next, they were detached from the
plate and transferred to microtubes, which were incubated at room
temperature with 1 μL of annexin V and 1 μL of the 7-AAD
Detection Kit (BD Biosciences) for 15 min in the dark. Samples were
centrifuged at 320g for 10 min at 4 °C, and
the dye solutions were carefully discarded. Cells were suspended in
300 μL of 1× binding buffer. The FACS was performed by
a BD Accuri C7 cytometer (BD Biosciences), and biparametric dot plots
were analyzed using a FCS Express software program (De Novo Software).[78]
Lysosomal Quantification
To quantify
the accumulation of lysosomal acidic vesicles, MB49 cells were seeded
in 96-well plates at a concentration of 1 × 105 cell/mL.
After exposure with one dose of Ti(OH)4 at a concentration
of 6.0 μg/mL for 12 h, cells were washed with PBS (1×)
and exposed to a neutral red solution (30 μg/mL of neutral red
in 1% DMEM FBS) (Sigma-Aldrich, USA) at 37 °C and 5% CO2 for 2 h. Cells were washed with PBS (1×), and the neutral red
retained inside the lysosomes was eluted in a solution of ethanol
(50% v/v) and acetic acid (1% v/v) for 10 min. Measurement of the
lysosomotropic incorporation was estimated using a spectrophotometer
with a wavelength range from 540 to 800 nm. Absorption values were
converted into relative indices using the positive (10 μmol/L
H2O2 for 30 min) and negative (culture medium)
controls. The estimate of type II cell death was obtained by applying
the unit index of acidic vesicle excess (AAU> 1), calculated by
dividing
the mean relative neutral red retention by the relative cell viability
quantified by the resazurin assay, performed in parallel.[79]Qualitatively, the excess of late lysosomes
was verified by labeling the orange acridine fluorophore, since the
cytoplasmic acidity transforms the green fluorophore into red. Therefore,
the process was performed by seeding MB49 cells in coverslips placed
on six-well plates at a concentration of 1 × 104 cells/mL,
followed by treatment with one dose of Ti(OH)4 at a concentration
of 6.0 μg/mL. A solution of 10 μmol/L of H2O2 (2 h of exposure) was used as a positive control, and
an untreated culture was used as a negative control. After the exposure
period, cells were washed with PBS (1×) and stained with 50 μL
(1 mg/mL) of a acridine orange fluorophore (Sigma-Aldrich, USA) for
15 min in the absence of light. Cells were washed, and coverslips
were assembled on slides for observation under a fluorescence microscope.
Images were captured at 40× magnification.[80]
Quantification of Mitochondrial
Electrical
Potential
MB49 cells (1 × 104 cells/mL) were
seeded in coverslips placed on six-well plates and treated with one
dose of Ti(OH)4 at a concentration of 6.0 μg/mL.
Cells were washed with DMEM, and 50 μL of rhodamine 123 solution
(1 mg/mL in ethanol, Sigma-Aldrich, USA) was added for 15 min in the
dark at 37 °C. Afterward, cells were washed with PBS (1×),
and coverslips were assembled on slides for observation under a fluorescence
microscope. Images were captured at 40× magnification and analyzed
with an ImageJ software program.[81]
Caspase-3 Enzyme Activity
MB49
cells were seeded in six-well plates at a concentration of 1 ×
105 cells/mL and treated with one dose of Ti(OH)4 at a concentration of 6 μg/mL. The assay for quantifying caspase
enzymatic activity was performed using the EnzChekCaspase-3 kit (E-13183-Molecular
Probe, Leiden, The Netherlands), following the protocol according
to the manufacturer’s guidelines. Fluorescence measurements
were performed using the Spectra-Max i3 (Molecular Devices) with 342/441
nm excitation/emission wavelengths.[82]
Statistical Analysis
Quantitative
data were analyzed with one- and two-way ANOVA statistical tests with
posthoc tests by either the Dunnett or Tukey tests. The results were
expressed as a standard error of the mean (SEM). In cases where the
results did not follow normality, the data were analyzed using the
Kruskal–Wallis analysis of variance tes , and the Dunn test
for two-by-two comparisons. The Prism software program version 5.0
(GraphPad Software), was used to perform the statistical analysis,
and p < 0.05 values were considered significant.
Authors: Andrea Cossarizza; Hyun-Dong Chang; Andreas Radbruch; Mübeccel Akdis; Immanuel Andrä; Francesco Annunziato; Petra Bacher; Vincenzo Barnaba; Luca Battistini; Wolfgang M Bauer; Sabine Baumgart; Burkhard Becher; Wolfgang Beisker; Claudia Berek; Alfonso Blanco; Giovanna Borsellino; Philip E Boulais; Ryan R Brinkman; Martin Büscher; Dirk H Busch; Timothy P Bushnell; Xuetao Cao; Andrea Cavani; Pratip K Chattopadhyay; Qingyu Cheng; Sue Chow; Mario Clerici; Anne Cooke; Antonio Cosma; Lorenzo Cosmi; Ana Cumano; Van Duc Dang; Derek Davies; Sara De Biasi; Genny Del Zotto; Silvia Della Bella; Paolo Dellabona; Günnur Deniz; Mark Dessing; Andreas Diefenbach; James Di Santo; Francesco Dieli; Andreas Dolf; Vera S Donnenberg; Thomas Dörner; Götz R A Ehrhardt; Elmar Endl; Pablo Engel; Britta Engelhardt; Charlotte Esser; Bart Everts; Anita Dreher; Christine S Falk; Todd A Fehniger; Andrew Filby; Simon Fillatreau; Marie Follo; Irmgard Förster; John Foster; Gemma A Foulds; Paul S Frenette; David Galbraith; Natalio Garbi; Maria Dolores García-Godoy; Jens Geginat; Kamran Ghoreschi; Lara Gibellini; Christoph Goettlinger; Carl S Goodyear; Andrea Gori; Jane Grogan; Mor Gross; Andreas Grützkau; Daryl Grummitt; Jonas Hahn; Quirin Hammer; Anja E Hauser; David L Haviland; David Hedley; Guadalupe Herrera; Martin Herrmann; Falk Hiepe; Tristan Holland; Pleun Hombrink; Jessica P Houston; Bimba F Hoyer; Bo Huang; Christopher A Hunter; Anna Iannone; Hans-Martin Jäck; Beatriz Jávega; Stipan Jonjic; Kerstin Juelke; Steffen Jung; Toralf Kaiser; Tomas Kalina; Baerbel Keller; Srijit Khan; Deborah Kienhöfer; Thomas Kroneis; Désirée Kunkel; Christian Kurts; Pia Kvistborg; Joanne Lannigan; Olivier Lantz; Anis Larbi; Salome LeibundGut-Landmann; Michael D Leipold; Megan K Levings; Virginia Litwin; Yanling Liu; Michael Lohoff; Giovanna Lombardi; Lilly Lopez; Amy Lovett-Racke; Erik Lubberts; Burkhard Ludewig; Enrico Lugli; Holden T Maecker; Glòria Martrus; Giuseppe Matarese; Christian Maueröder; Mairi McGrath; Iain McInnes; Henrik E Mei; Fritz Melchers; Susanne Melzer; Dirk Mielenz; Kingston Mills; David Mirrer; Jenny Mjösberg; Jonni Moore; Barry Moran; Alessandro Moretta; Lorenzo Moretta; Tim R Mosmann; Susann Müller; Werner Müller; Christian Münz; Gabriele Multhoff; Luis Enrique Munoz; Kenneth M Murphy; Toshinori Nakayama; Milena Nasi; Christine Neudörfl; John Nolan; Sussan Nourshargh; José-Enrique O'Connor; Wenjun Ouyang; Annette Oxenius; Raghav Palankar; Isabel Panse; Pärt Peterson; Christian Peth; Jordi Petriz; Daisy Philips; Winfried Pickl; Silvia Piconese; Marcello Pinti; A Graham Pockley; Malgorzata Justyna Podolska; Carlo Pucillo; Sally A Quataert; Timothy R D J Radstake; Bartek Rajwa; Jonathan A Rebhahn; Diether Recktenwald; Ester B M Remmerswaal; Katy Rezvani; Laura G Rico; J Paul Robinson; Chiara Romagnani; Anna Rubartelli; Beate Ruckert; Jürgen Ruland; Shimon Sakaguchi; Francisco Sala-de-Oyanguren; Yvonne Samstag; Sharon Sanderson; Birgit Sawitzki; Alexander Scheffold; Matthias Schiemann; Frank Schildberg; Esther Schimisky; Stephan A Schmid; Steffen Schmitt; Kilian Schober; Thomas Schüler; Axel Ronald Schulz; Ton Schumacher; Cristiano Scotta; T Vincent Shankey; Anat Shemer; Anna-Katharina Simon; Josef Spidlen; Alan M Stall; Regina Stark; Christina Stehle; Merle Stein; Tobit Steinmetz; Hannes Stockinger; Yousuke Takahama; Attila Tarnok; ZhiGang Tian; Gergely Toldi; Julia Tornack; Elisabetta Traggiai; Joe Trotter; Henning Ulrich; Marlous van der Braber; René A W van Lier; Marc Veldhoen; Salvador Vento-Asturias; Paulo Vieira; David Voehringer; Hans-Dieter Volk; Konrad von Volkmann; Ari Waisman; Rachael Walker; Michael D Ward; Klaus Warnatz; Sarah Warth; James V Watson; Carsten Watzl; Leonie Wegener; Annika Wiedemann; Jürgen Wienands; Gerald Willimsky; James Wing; Peter Wurst; Liping Yu; Alice Yue; Qianjun Zhang; Yi Zhao; Susanne Ziegler; Jakob Zimmermann Journal: Eur J Immunol Date: 2017-10 Impact factor: 6.688
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