Qinglian Dong1, Yongxia Li2, Juan Chen1, Nan Wang3. 1. Department of Critical Medicine, Dongying People's Hospital, No. 317, Nanyi Road, Dongying 257091, Shandong, China. 2. Department of Stomatology, Dongying People's Hospital, No. 317, Nanyi Road, Dongying 257091, Shandong, China. 3. Department of Nephrology, Dongying People's Hospital, No. 317, Nanyi Road, Dongying 257091, Shandong, China.
Abstract
BACKGROUND AND PURPOSE: Lipopolysaccharide (LPS) is an important factor that induce severe inflammation, resulting in multiple types of diseases. It is reported that LPS-induced inflammation is related to the activation of the NF-κB signal pathway and reactive oxygen species (ROS)-induced oxidative stress. Azilsartan, an angiotensin II type 1 (AT1) receptor blocker, has been licensed as a new generation of Sartan antihypertensive drugs. However, the effects of azilsartan in LPS-induced inflammation have not been reported before. The present study aims to investigate the anti-inflammatory effects of azilsartan on LPS-stimulated macrophages and explore the underlying mechanism. METHODS: The release of lactic dehydrogenase (LDH), secretion of HMGB-1, and concentrations of IL-6, IL-1β, MCP-1, MMP-2, MMP-9, and PGE2 were evaluated using the enzyme-linked immunosorbent assay (ELISA). The gene expression levels of IL-6, IL-1β, MCP-1, MMP-2, MMP-9, and COX-2 were determined by quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR). Western blot analysis was used to detect the protein expression level of COX-2, Nrf2, TLR2, MyD-88, and NF-κB. The level of ROS was determined using the dihydroethidium (DHE) staining assay. The activity of NF-κB was evaluated using the luciferase activity assay. RESULTS: The release of LDH, HMGB-1, IL-6, IL-1β, MCP-1, MMP-2, MMP-9, and PGE2 was significantly promoted by LPS stimulation, whereas it was greatly suppressed by azilsartan. The upregulated COX-2, TLR2, MyD-88, and NF-κB in the LPS-treated macrophages were significantly downregulated by azilsartan. Interestingly, the expression level of Nrf2 was elevated by azilsartan. On the contrary, ROS levels were greatly increased by LPS but suppressed by azilsartan. Mechanistically, it was found that azilsartan suppressed LPS-induced activation of the TLR2/Myd-88/NF-κB signaling pathway. CONCLUSION: Azilsartan might suppress LPS-induced inflammation in U937 macrophages through suppressing oxidative stress and inhibiting the TLR/MyD88 signal pathway.
BACKGROUND AND PURPOSE:Lipopolysaccharide (LPS) is an important factor that induce severe inflammation, resulting in multiple types of diseases. It is reported that LPS-induced inflammation is related to the activation of the NF-κB signal pathway and reactive oxygen species (ROS)-induced oxidative stress. Azilsartan, an angiotensin II type 1 (AT1) receptor blocker, has been licensed as a new generation of Sartan antihypertensive drugs. However, the effects of azilsartan in LPS-induced inflammation have not been reported before. The present study aims to investigate the anti-inflammatory effects of azilsartan on LPS-stimulated macrophages and explore the underlying mechanism. METHODS: The release of lactic dehydrogenase (LDH), secretion of HMGB-1, and concentrations of IL-6, IL-1β, MCP-1, MMP-2, MMP-9, and PGE2 were evaluated using the enzyme-linked immunosorbent assay (ELISA). The gene expression levels of IL-6, IL-1β, MCP-1, MMP-2, MMP-9, and COX-2 were determined by quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR). Western blot analysis was used to detect the protein expression level of COX-2, Nrf2, TLR2, MyD-88, and NF-κB. The level of ROS was determined using the dihydroethidium (DHE) staining assay. The activity of NF-κB was evaluated using the luciferase activity assay. RESULTS: The release of LDH, HMGB-1, IL-6, IL-1β, MCP-1, MMP-2, MMP-9, and PGE2 was significantly promoted by LPS stimulation, whereas it was greatly suppressed by azilsartan. The upregulated COX-2, TLR2, MyD-88, and NF-κB in the LPS-treated macrophages were significantly downregulated by azilsartan. Interestingly, the expression level of Nrf2 was elevated by azilsartan. On the contrary, ROS levels were greatly increased by LPS but suppressed by azilsartan. Mechanistically, it was found that azilsartan suppressed LPS-induced activation of the TLR2/Myd-88/NF-κB signaling pathway. CONCLUSION:Azilsartan might suppress LPS-induced inflammation in U937 macrophages through suppressing oxidative stress and inhibiting the TLR/MyD88 signal pathway.
Lipopolysaccharide (LPS)
is an important factor that induces sepsis
and multiple organ dysfunction syndrome.[1] As the main component of the membrane on Gram-negative bacilli,
LPS combines with CD14 expressed on the membrane of macrophages to
induce significant inflammation by regulating the production of inflammatory
factors and nitric oxide (NO) through mediating the NF-κB signal
pathway.[2] LPS is reported to be directly
or indirectly involved in the pathogenesis of multiple types of pulmonary
diseases, including chronic obstructive pulmonary disease (COPD),
asthma, and allergic lung injury.[3] Therefore,
stimulating in vitro cells with LPS is an effective way to explore
the possible mechanism and therapeutic routine for pulmonary diseases.
It is reported that the expression levels of NF-κB and cAMP
could be significantly promoted by stimulating the alveolar macrophages
with LPS, through which the macrophages could be activated.[4]Oxidative stress is one of the mechanisms
underlying the inflammation-inducing
effects of LPS, by which large amounts of reactive oxygen species
(ROS) and reactive nitrogen species (RNS) are produced.[5,6] ROS and RNS are involved in a variety of physiological functions,
such as regulating the expression of specific genes and the apoptosis
of cells. However, excessive production of ROS and RNS will directly
induce tissue injury and an inflammatory cascade.[7] Oxidative stress will be induced by the accumulation of
cellular ROS, which cannot be effectively degraded by antioxidative
materials.[8] Cellular lipids, proteins,
and organelles are damaged by excessive ROS and toxic materials are
produced due to decreased biological function of these biomacromolecules,
which eventually impact the activity of lysosomes and contribute to
cell death.[9] In addition, RNS will result
from oxidative stress induced by excessive ROS, and the ion channels
on the membrane of mitochondria are opened, which decreases the concentration
of ATP and Ca2+ in the mitochondria. Subsequently, cytochrome
C is released and mitochondrial swelling is induced through which
the mitochondria are significantly injured. It is reported that autophagy,
cell death, apoptosis, and cell necrosis are induced by the damaged
mitochondria.[10] Therefore, suppressing
oxidative stress may be an effective way to prevent cell death and
inflammation, which are crucial steps for the treatment of LPS-induced
diseases.Azilsartan is a new generation of sartan antihypertensive
drugs
developed by Takeda Pharmaceutical Co., the molecular structure of
which is shown in Figure . The antihypertensive drug was introduced to the market in
2012 with the commercial name “Azilva”. As a new generation
of angiotensin II antagonist, its antihypertensive mechanism is similar
to other sartan drugs, which inhibit the vasoconstriction and excessive
secretion of aldosterone induced by angiotensin II by combining with
the angiotensin II receptor.[11] Furthermore,
the expression level of the peroxisome proliferator-activated receptor-γ
(PPAR-γ) in adipose tissues could potentially improve the glucose
tolerance and metabolism.[12] Currently,
it is reported that the secretion of adiponectin in adipose tissues
is induced by azilsartan, which eventually inhibits the expression
of TNF-α and suppresses insulin resistance.[13] Aurigena also reported that azilsartan could reduce TNF-α
levels, increase IL-10 levels, and upregulate VEGF, FGF, KGF, and
TGF-α in an oral mucositis model.[14] However, it is unknown whether azilsartan possesses a protective
effect against LPS in macrophages. In the present study, the anti-inflammatory
effects and antioxidative stress effects of azilsartan in macrophages
will be investigated to explore the novel therapeutic purpose of azilsartan.
Figure 1
Molecular
structure of azilsartan.
Molecular
structure of azilsartan.
Results
Production of LDH and HMGB1 in U937 Macrophages
Induced by LPS was Suppressed by Azilsartan
As shown in Figure A, the release of
LDH by U937 macrophages was significantly promoted by the stimulation
of LPS at a value from 6.6 to 43.1%, but greatly decreased to 39.8,
31.6, and 22.5% by the introduction of 1, 5, and 10 μM azilsartan,
respectively. A significant difference was observed in the 5 and 10
μM groups. Figure B shows the concentrations of HMGB1 in different groups. The secretion
of HMGB1 in the U937 macrophages was promoted from 133.6 to 698.6
pg/mL (increased by 423%) by the treatment with LPS but was reduced
to 635.5 (decreased by 9%), 532.1 (decreased by 23.8%), and 355.7
(decreased by 49.1%) pg/mL by the introduction of 1, 5, and 10 μM
azilsartan, respectively. A significant difference was observed in
the 5 and 10 μM groups.
Figure 2
Azilsartan prevented LPS-induced release of
LDH and HMGB1 in U937
macrophages. Cells were treated with 1 μg/mL LPS in the presence
or absence of azilsartan (1, 5, or 10 μM) for 24 h. (A) Release
of LDH and (B) secretion of HMGB-1 measured using the enzyme-linked
immunosorbent assay (ELISA) (**P < 0.01, ***P < 0.005 vs LPS treatment group).
Azilsartan prevented LPS-induced release of
LDH and HMGB1 in U937
macrophages. Cells were treated with 1 μg/mL LPS in the presence
or absence of azilsartan (1, 5, or 10 μM) for 24 h. (A) Release
of LDH and (B) secretion of HMGB-1 measured using the enzyme-linked
immunosorbent assay (ELISA) (**P < 0.01, ***P < 0.005 vs LPS treatment group).
LPS-Induced Production
of Inflammatory Factors
in U937 Macrophages was Reduced by Azilsartan
As shown in Figure A, the elevated gene
expression levels of MCP-1, IL-6, and IL-1β were significantly
inhibited by azilsartan in a dose-dependent manner. Figure B shows the concentrations
of inflammatory factors in the supernatant of macrophages. The concentration
of secreted MCP-1 was promoted from 323.3 to 3025.7 pg/mL (increased
by 835.8%) under the stimulation of LPS but was decreased to 2176.5
pg/mL (decreased by 28.1%) and 1349.9 pg/mL (decreased by 55.4%) by
the introduction of 5 and 10 μM azilsartan, respectively. The
concentration of secreted IL-1β was elevated from 166.5 to 798.5
pg/mL (increased by 379.6%) under the stimulation of LPS but was suppressed
to 632.1 pg/mL (decreased by 20.8%) and 495.5 pg/mL (decreased by
37.9%) by the treatment with 5 and 10 μM azilsartan with a significant
difference, respectively. The promoted concentration of secreted IL-6
(256.8–1833.6 pg/mL) induced by LPS was significantly inhibited
by azilsartan to 1366.8 pg/mL (decreased by 25.5%) and 851.3 pg/mL
(decreased by 53.6%) at dosages of 5 and 10 μM, respectively.
Figure 3
Azilsartan
reduced LPS-induced expressions and secretions of pro-inflammatory
cytokines in U937 macrophages. Cells were treated with 1 μg/mL
LPS in the presence or absence of azilsartan (5, 10 μM) for
24 h. (A) mRNA of MCP-1, IL-1β, and IL-6 and (B) secretions
of MCP-1, IL-1β, and IL-6 (****P < 0.0001
vs vehicle group; ##P < 0.01, ####P < 0.0001 vs LPS group).
Azilsartan
reduced LPS-induced expressions and secretions of pro-inflammatory
cytokines in U937 macrophages. Cells were treated with 1 μg/mL
LPS in the presence or absence of azilsartan (5, 10 μM) for
24 h. (A) mRNA of MCP-1, IL-1β, and IL-6 and (B) secretions
of MCP-1, IL-1β, and IL-6 (****P < 0.0001
vs vehicle group; ##P < 0.01, ####P < 0.0001 vs LPS group).
Azilsartan Prevented LPS-Induced Expression
of MMP-2, MMP-9, Cyclooxygenase 2 (COX-2), and Prostaglandin E2 (PGE2) in U937 Macrophages
As shown in Figure , the elevated expression levels
of MMP-2 and MMP-9 in the U937 macrophages induced by LPS were significantly
suppressed by the introduction of Azilsartan. As shown in Figure A,B, COX-2 in the
U937 macrophages was significantly upregulated by LPS, whereas it
was greatly downregulated by the treatment with azilsartan at both
the gene and protein levels. Figure C shows the data of released PGE2. We found
that the concentration of PGE2 in the supernatant of macrophages
was increased from 367.9 to 1368.2 pg/mL (increased by 271.8%) by
the stimulation of LPS but was decreased by 38.9% to 835.5 pg/mL and
42% to 787.8 pg/mL by the treatment with 5 and 10 μM azilsartan,
respectively.
Figure 4
Azilsartan decreased LPS-induced expression of MMP-2 and
MMP-9
in U937 macrophages. Cells were treated with 1 μg/mL LPS in
the presence or absence of azilsartan (5, 10 μM) for 24 h. (A)
mRNA of MMP-2 and MMP-9 and (B) protein levels of MMP-2 and MMP-9
(****P < 0.0001 vs vehicle group; ##P < 0.01, ####P <
0.0001 vs LPS group).
Figure 5
Azilsartan prevented
LPS-induced expression of cyclooxygenase 2
(COX-2) and secretion of prostaglandin E2 (PGE2) in U937
macrophages. Cells were treated with 1 μg/mL LPS in the presence
or absence of azilsartan (5, 10 μM) for 24 h. (A) mRNA of COX-2;
(B) protein levels of COX-2; and (C) secretion of PGE2 (****P < 0.0001 vs vehicle group; ##P < 0.01, ####P < 0.0001 vs LPS
group).
Azilsartan decreased LPS-induced expression of MMP-2 and
MMP-9
in U937 macrophages. Cells were treated with 1 μg/mL LPS in
the presence or absence of azilsartan (5, 10 μM) for 24 h. (A)
mRNA of MMP-2 and MMP-9 and (B) protein levels of MMP-2 and MMP-9
(****P < 0.0001 vs vehicle group; ##P < 0.01, ####P <
0.0001 vs LPS group).Azilsartan prevented
LPS-induced expression of cyclooxygenase 2
(COX-2) and secretion of prostaglandin E2 (PGE2) in U937
macrophages. Cells were treated with 1 μg/mL LPS in the presence
or absence of azilsartan (5, 10 μM) for 24 h. (A) mRNA of COX-2;
(B) protein levels of COX-2; and (C) secretion of PGE2 (****P < 0.0001 vs vehicle group; ##P < 0.01, ####P < 0.0001 vs LPS
group).
Oxidative
Stress Induced by LPS was Alleviated
by Azilsartan
As shown in Figure A, the production of ROS was significantly
elevated by LPS but greatly inhibited by the introduction of azilsartan
in a dose-dependent manner. Figure B shows the expression level of the antioxidant factor,
nuclear factor erythroid 2-related factor 2 (Nrf2), in each group.
We found that Nrf2 was significantly upregulated by the treatment
with azilsartan.
Figure 6
Azilsartan prevented LPS-induced oxidative stress in U937
macrophages.
Cells were treated with 1 μg/mL LPS in the presence or absence
of azilsartan (5, 10 μM) for 24 h. (A) Production of reactive
oxygen species (ROS) (scale bar, 100 μm) and (B) expression
of the antioxidant factor, nuclear factor erythroid 2-related factor
2 (Nrf2), as measured using western blot (****P <
0.0001 vs vehicle group; ##P < 0.01, ####P < 0.0001 vs LPS group).
Azilsartan prevented LPS-induced oxidative stress in U937
macrophages.
Cells were treated with 1 μg/mL LPS in the presence or absence
of azilsartan (5, 10 μM) for 24 h. (A) Production of reactive
oxygen species (ROS) (scale bar, 100 μm) and (B) expression
of the antioxidant factor, nuclear factor erythroid 2-related factor
2 (Nrf2), as measured using western blot (****P <
0.0001 vs vehicle group; ##P < 0.01, ####P < 0.0001 vs LPS group).
Azilsartan Might Exert an Anti-Inflammatory
Effect by Inhibiting the TLR2/Myd-88/NF-κB Signaling Pathway
As shown in Figures and 8A, we found that the elevated expression
levels of TLR2, Myd-88, and NF-κB were significantly inhibited
by the introduction of azilsartan in a dose-dependent manner. The
transcriptional activity of NF-κB was measured using the luciferase
activity. The results indicated that the activated function of the
NF-κB promoter induced by LPS was extremely inhibited by azilsartan.
Figure 7
Azilsartan
reduced LPS-induced expression of TLR2 and Myd-88 in
U937 macrophages. Cells were treated with 1 μg/mL LPS in the
presence or absence of azilsartan (5, 10 μM) for 24 h. Expressions
of TLR2 and Myd-88 were measured using western blot analysis (****P < 0.0001 vs vehicle group; ##P < 0.01, ####P < 0.0001 vs LPS
group).
Figure 8
Azilsartan prevented LPS-induced activation
of NF-κB in U937
macrophages. Cells were treated with 1 μg/mL LPS in the presence
or absence of azilsartan (5, 10 μM) for 24 h. (A) Nuclear levels
of NF-κB p65 as measured by western blot analysis and (B) luciferase
activity of the NF-κB gene reporter (****P <
0.0001 vs vehicle group; ##P < 0.01, ####P < 0.0001 vs LPS group).
Azilsartan
reduced LPS-induced expression of TLR2 and Myd-88 in
U937 macrophages. Cells were treated with 1 μg/mL LPS in the
presence or absence of azilsartan (5, 10 μM) for 24 h. Expressions
of TLR2 and Myd-88 were measured using western blot analysis (****P < 0.0001 vs vehicle group; ##P < 0.01, ####P < 0.0001 vs LPS
group).Azilsartan prevented LPS-induced activation
of NF-κB in U937
macrophages. Cells were treated with 1 μg/mL LPS in the presence
or absence of azilsartan (5, 10 μM) for 24 h. (A) Nuclear levels
of NF-κB p65 as measured by western blot analysis and (B) luciferase
activity of the NF-κB gene reporter (****P <
0.0001 vs vehicle group; ##P < 0.01, ####P < 0.0001 vs LPS group).
Discussion
Inflammation is a basic
pathological state found in injured tissues.
It is induced by multiple types of pro-inflammatory factors and is
an important mechanism underlying many diseases. Appropriate inflammatory
reactions are reported to be beneficial to self-protection. However,
severe tissue or organ pathological injury is induced by excessive
inflammation.[15,16] In the present study, LPS was
used to stimulate macrophages to release inflammatory factors, which
was verified by elevated production of IL-6, IL-1β, and MCP-1
in LPS-incubated macrophages. The excessive secretion of inflammatory
factors is also accompanied by upregulated LDH and HMGB1, which were
reported to be markers for cell death[17] and serve inflammation.[18] Through treatment
with different dosages of azilsartan, the secretion of inflammatory
factors was significantly suppressed, along with the downregulated
LDH and HMGB1 expression. These data indicated that the injury and
pro-inflammatory effects of LPS on macrophages were significantly
reversed by azilsartan, indicating the promising anti-inflammatory
property of azilsartan.It is reported that TLR2 can be activated
by LPS stimulation, which
contributes to a severe immunoreaction in the body. Excessive immunoreaction
is a stumbling block to self-repair.[19] The
expression level of NF-κB can be upregulated by TLR2 through
activating the MyD88-dependent signal pathway, which will eventually
induce the production of inflammatory factors such as IL-6, IL-1β,
and TNF-α.[20] Recently, the TLR2/MyD88
signal pathway has been found to be an effective way to alleviate
cellular inflammation. As the main downstream effector molecule of
TLR2, MyD88 plays an important role in the development and processing
of inflammatory reactions.[21] In the present
study, to further investigate the possible mechanism underlying the
anti-inflammatory effects of azilsartan, the impact of azilsartan
on the TLR2/MyD88 signal pathway was evaluated. We found that LPS
stimulation significantly activated the TLR2/MyD88 signal pathway
in macrophages, accompanied by the upregulation of NF-κB activity,
indicating that LPS induced the excessive production of inflammatory
factors by activating the TLR2/MyD88 signal pathway to enhance the
bio-function of NF-κB. Through the introduction of azilsartan,
the activated TLR2/MyD88 signal pathway in LPS-induced macrophages
was greatly inhibited, accompanied by an obvious downregulation of
NF-κB activity. These data claimed that azilsartan might exert
anti-inflammatory effects in the LPS-stimulated macrophages by preventing
the activation of NF-κB through suppressing the TLR2/MyD88 signal
pathway. Consistent with our results, a previous study demonstrated
that the administration of azilsartan exerted a robust anti-inflammatory
effect in ligature-induced periodontitis in rats by reducing the expression
of IL-1β, MMP-2, MMP-9, COX-2, RANK, and RANKL.[22] Another study reported that treatment with azilsartan could
restore endothelial function by ameliorating vascular inflammation
and reducing the expression of MCP-1, NOX-2, NOX-4, and TNF-α.[23] However, further investigation will be helpful
to explore the molecular mechanism underlying the bio-function of
azilsartan on TLR2 in our future work to better understand the anti-inflammatory
property of azilsartan.Excessive inflammation is reported to
be closely related to the
production of ROS, which are important inducers in the activation
of NF-κB in macrophages to aggravate the inflammation.[24] It is also reported that dissociation of the
thioredoxin interacting protein (TXNIP) from thioredoxin-1 is induced
by the accumulated ROS under oxidative stress, which will activate
the NLRP3 inflammasome by binding with NLRP3.[25] Nrf2 is one of the most important defense systems against oxidative
stress. The Nrf2 signal pathway will be activated under oxidative
stress state, and subsequently, the DNA sequences on the antioxidant
response element (ARE) will be recognized and bound by Nrf2, which
triggers the transcription of anti-oxidant genes to promote the expression
level of antioxidants and related enzymes, including reduced nicotinamide
adenine dinucleotide phosphate (NADPH), quinone oxidoreductase (NQO-1),
hemeoxygenase 1 (HO-1), superoxide dismutase (SOD), glutathione peroxidase
(GPx), and glutathione transferase (GST). The cellular injuries induced
by oxidative stress can be defended against these antioxidants and
related enzymes.[26−29] Followed by the treatment of azilsartan, the ROS levels in the incubated
macrophages were significantly suppressed, accompanied by an elevated
expression level of Nrf2 and decreased expression levels of MMP-2,
MMP-9, PGE2, and COX-2. These data indicated that the induced
oxidative stress by LPS was greatly reversed by azilsartan, indicating
another possible mechanism underlying the anti-inflammatory effects
of azilsartan. However, further detailed investigations are needed
to explore the impact of azilsartan on the expression level of Nrf2
to better understand the inhibitory effect of azilsartan on oxidative
stress in our future work.Taken together, our data indicate
that azilsartan might suppress
LPS-induced inflammation in U937 macrophages by suppressing oxidative
stress and inhibiting the TLR2/MyD88 signal pathway.
Methods and Materials
Cell Culture and Treatments
The human
monocyte U937 cell line was purchased from American Type Culture Collection
(ATCC, Rockville, MD), which was cultured in RPMI 1640 medium (Cat#31800,
Solarbio life sciences, Beijing) containing 10% fetal bovine serum
(FBS) with penicillin (50 U/mL) and streptomycin (100 μg/mL)
at 37 °C in an incubator with 5% humidified CO2 and
95% air. The U937 cells were cultured in a 6-well cell culture dish
for treatment. Cells were differentiated into macrophage-like cells
by being treated with 50 nM phorbol myristate acetate (PMA, P1585,
Sigma-Aldrich) for 24 h. U937 macrophages were treated with LPS (Cat#abs47014848,
absin, China) at the final concentration of 1 μg/mL (100 ng
total LPS per well for 96-well cell culture plate) in the presence
or absence of Azilsartan (Cat#CC3202, Chemcatch, China) (1, 5, or
10 μM) for 24 h.
Total RNA was extracted using the TRIzol Reagent
according to the manufacturer’s protocol. Briefly, cDNA synthesis
was performed using a TaqMan MicroRNA Array Kit (Thermo Fisher Scientific,
Waltham). Real-time quantitative PCR was performed using a SYBR Green
PCR Master Mix (Cat#4309155, Thermo Fisher Scientific) mixed with
primers at 95 °C for 3 min, then 40 cycles of 95 °C for
12 s, and 60 °C for 40 s. U6 was used as an endogenous control
to normalize expression. The following primers were used in this study:
MCP-1 (F: 5′-TTCTGTGCCTGCTGCTCAT-3′; R: 5′-GGGGCATTGATTTGCATCT-3′);
IL-6 (F: 5′-TTGGGAAGGTTACATCAGATCAT-3′; R: 5′-GGGTTGGTCCATGTCAATTT-3′);
IL-1β (F: 5′-TACCTGTCCTGCGTGTTGAA-3′, R: 5′-TCTTTGGGTAATTTTTGGGATCT-3′);
MMP-2 (F: 5′-TAACCTGGATGCCGTCGT-3′; R: 5′-TTCAGGTAATAAGCACCCTTGAA-3′);
and MMP-9 (F: 5′-GAACCAATCTCACCGACAGG-3′; R: 5′-GCCACCCGAGTGTAACCATA-3′).
Each experiment was performed in triplicate, and all of the relative
expression levels were measured using the 2–ΔΔCT method.
Western Blotting Assay
After being
washed three times with cold phosphate-buffered saline (PBS), the
treated cells were harvested using a Mammalian Cell Lysis Kit (Thermo
Fisher Scientific, Waltham). The nuclear protein was isolated using
an EpiQuik Nuclear Extraction Kit (Cat#OP-0002, EpiGentek). The expression
of NF-κB p65 was measured using nuclear fragmentations. The
expressions of other proteins were measured using total cell lysates.
Equal amounts of the proteins were subjected to SDS-PAGE (12%) under
reducing conditions; the separated proteins were transferred onto
PVDF membranes and then blocked with 5% nonfat dry milk in Tris-buffered
saline with Tween-20 (TBST) at room temperature for 1 h. The membranes
were probed with the indicated antibodies against COX-2 (1:500, Cat#sc-19999,
Santa Cruz Biotechnology), Nrf2 antibody (1:2000, Cat#4399, Cell Signaling
Technology), TLR2 (1:1000, Cat#66645-1-Ig, Proteintech, China), Myd-88
(1:2000, Cat#3699, Cell Signaling Technology), NF-κB p65 (1:1000,
Cat#3034, Cell Signaling Technology), β-tubulin (1:5000, #2146,
Cell Signaling Technology), and lamin B1 (1:2000, Cat#9087, Cell Signaling
Technology) overnight at 4 °C. After three washes, the membranes
were incubated with the alkaline phosphatase-conjugated goat anti-mouse/rabbit
IgG secondary antibody (1:5000 dilution). A chemiluminescence detection
system was used to detect the signals. The intensity of the protein
bands was quantified by densitometry using ImageJ software (NIH).
Each western blot was repeated at least three times.
Enzyme-Linked Immunosorbent Assay (ELISA)
HMGB-1, IL-6,
MCP-1, IL-1β, and PGE2 levels in
the supernatant of macrophages were determined using ELISA kits, including
a humanHMGB-1 ELISA Kit (Cat#EH0084, FineTest, China), humanIL-6
ELISA Kit (Cat#KAC1261, Invitrogen), humanMCP-1 ELISA Kit (Cat#BMS281,
Invitrogen), human IL-1β ELISA Kit (Cat#SEKH-0002, Sobarbio
life sciences), and humanPGE2 ELISA Kit (Cat#SEKH-0414,
Solarbio life sciences, Beijing), according to the manufacturer’s
protocol. The concentration range of the protein standards is from
0 to 10 000 pg/mL. Briefly, 50 μL of standard samples
or target samples was added to the ELISA plate. After incubation for
2 h and washing three times, 50 μL of the test solution was
added and incubated for another 30 min. After three washes, 50 μL
of horseradish peroxidase (HRP)-conjugated secondary antibodies was
added and incubated for 30 min. The reaction was developed with a
substrate solution and terminated with a stop solution. After the
procedure, the plates were read on a spectrometer at a wavelength
of 450 nm. The results were converted to numeric values using standard
curves.
Dihydroethidium (DHE) Staining
The
intracellular ROS levels in macrophages were detected using dihydroethidium
(DHE). Macrophages were cultured in 96-well plates at a density of
1 × 105cells/mL in 1640 medium containing 10% FBS.
Subsequently, the cells were gently washed with Hanks’ balanced
salt solution (HBSS), followed by incubation with 5 μM DHE at
37 °C for 30 min. The dye was then removed and replaced with
fresh HBSS. Fluorescence of the cells was measured immediately on
a microplate reader (Ex (λ) 535
nm; Em (λ) 610 nm).
Luciferase Activity of NF-κB
Macrophages (3×106 cells/mL) were planted in the
plates and transfected with NF-κB Luc or a plasmid encoding
β-galactosidase (0.25 μg/mL) by the polyethylenimine (PEI)
method. The cells were collected after incubating for 24 h and lysed
by freezing at −70 °C for at least 3 h. The luminescence
was measured using a luminometer to evaluate the luciferase reporter
activity, which was then normalized to the β-galactosidase activity.
Statistical Analysis
Mean ±
standard deviation (SD) was used to show data. GraphPad was used to
analyze data. Analysis of variance (ANOVA) was utilized for the contrast
among different groups followed by Tukey’s post-hoc test. P < 0.05 was regarded as a statistically significant
difference between the two groups.
Authors: J J Lemasters; A L Nieminen; T Qian; L C Trost; S P Elmore; Y Nishimura; R A Crowe; W E Cascio; C A Bradham; D A Brenner; B Herman Journal: Biochim Biophys Acta Date: 1998-08-10
Authors: Hua Yuan; Cynthia N Perry; Chengqun Huang; Eri Iwai-Kanai; Raquel S Carreira; Christopher C Glembotski; Roberta A Gottlieb Journal: Am J Physiol Heart Circ Physiol Date: 2008-12-19 Impact factor: 4.733
Authors: Aurigena Antunes de Araújo; Hugo Varela; Caroline Addison Carvalho Xavier de Medeiros; Gerly Anne de Castro Brito; Kênio Costa de Lima; Ligia Moreno de Moura; Raimundo Fernandes de Araújo Júnior Journal: PLoS One Date: 2015-02-17 Impact factor: 3.240