Sepsis, characterised by an uncontrolled and systemic inflammatory response, is a
persistent and serious public-health threat, with high mortality and morbidity
rates, which can be as high as 70%. It is thought that about 2% of all hospital
patients suffer from sepsis upon hospital admission.[1,2] The treatment of sepsis is
expensive and places a significant demand on medical resources, which seriously
affects quality of life and poses a huge threat to health. The most effective
treatment and prevention of sepsis is based on the pathogenesis of sepsis. It is
widely accepted that inflammatory cytokines such as TNF-α and IL-6, and related
signalling pathways such as NF-κB signalling, play an important role in the
pathogenesis of sepsis.[3-5] However, deeper
insights into the development of sepsis, especially the underlying molecular
mechanisms, are still unclear. The studies focusing on the underlying mechanisms of
sepsis will certainly bring new hope for the treatment and prevention of sepsis.MicroRNAs (miRNAs) are small endogenous RNAs involved in the biological process and disease.[6] In recent years, the role of miRNAs in inflammation has also been
noted.[7,8] Among the
miRNAs, miR-146 is considered an inflammation-associated miRNA which can regulate
the proliferation of immune cells and inhibiting inflammatory responses.[9,10] Subsequently, it has also been
reported that miR-146 is a negative feedback mediator of NF-κB pathways via directly
targeting signalling components to participate in innate immune responses.[11] Furthermore, in early diabetic retinopathy, miR-146 was found to suppress
NF-κB signalling and seems to be a potential therapeutic target.[12] Further studies have demonstrated that miR-146 also shows anti-inflammatory
effects in sepsis.[13] However, the exact molecular mechanisms remain to be elucidated.Recently, MALAT1, a conserved long non-coding RNA (lncRNA)-a class of
non-protein-coding RNA transcripts more than 200 nucleotides long that do not
contain an open reading frame- was found to be elevated in LPS-induced cardiac
microvascular endothelial cells in sepsis.[14] Nevertheless, the role of lncRNAs in sepsis, including MALAT1, has not been
definitively investigated. It has been widely recognised that lncRNAs exert
biological functions as a competing endogenous RNA (ceRNA) for sponging
miRNAs.[15-17] Furthermore,
miRNAs can also target and regulate the expression of lncRNAs.[18-20] It has been demonstrated that
MALAT1 could act as a ceRNA for negatively regulating miR-146 to modulate the NF-κB
signalling pathway in LPS-induced acute kidney injury.[21] However, up to now, the exact relationship and the underlying regulatory
network between miR-146a and MALAT1 in sepsis and inflammation injury are still
unclear.In the present study, we aimed to investigate role of miR-146 and its possible
relationship with MALAT1 in LPS-induced inflammation in human microvascular
endothelial cells (HMECs). This study might give deeper insights into the role of
miR-146 and MALAT1 in inflammation injury, as well as provide possible new research
targets in sepsis therapy.
Materials and methods
Cell culture and treatment
Human microvascular endothelial cell line (HMEC-1 from human blood vessel) was
purchased from ATCC (Manassas, VA). Briefly, HMEC-1 cells were cultured in RPMI
1640 (Thermo Fisher Scientific, Waltham, MA) containing with 10% Gibco® FBS
(Thermo Fisher Scientific) and 100 μg/ml penicillin-streptomycin (Sigma-Aldrich,
St. Louis, MO). Cells were then cultured at 37°C and 5% CO2. LPS
(Sigma-Aldrich) was added in concentrations of 5, 10 and 15 µg/ml to induce
inflammation. For inhibition of NF-κB signalling, cells were treated with JSH-23
(20 μmol/l; Sigma-Aldrich) for 24 h.
Transfection
MiR-146a/b mimics (miR-146a/b) and negative control (miR-NC), miR-146a inhibitor
(anti-miR-146a) and negative control (anti-miR-NC), as well as shRNA vectors for
MALAT1 (shMALAT1) and the corresponding negative control vector (shNC), were all
purchased from GenePharma (Shanghai, PR China). HMEC-1 cells were transfected
with miR-146a/b, anti-miR-146a/b or NC (miR-NC, anti-miR-NC), or shMALAT1 or
shNC (50 nmol/L) using Lipofectamine 3000 (Invitrogen, Carlsbad, CA) in
serum-free Opti-MEM medium (Gibco®) according to the manufacturer’s instruction.
Transfection efficiency was determined by quantitative RT-PCR 48 h after
transfection.
MTT assay
Cells were cultured on 96-well plates at a density of 3 × 103
cells/well. After culturing for 72 h, 25 ml MTT solution at a concentration of
5 mg/ml was added, and cells were further cultured for 4 h at 37°C. Cells were
then centrifuged at 1200 g for 5 min at room temperature, the
supernatant removed and 180 ml DMSO was added. The absorbance was evaluated at
490 nm using a Synergy-HT Multi-Detection microplate reader (Bio-Tek
Instruments, Inc., Winooski, VT).
Measurement of TNF-α and IL-6
The culture supernatants were collected, and the levels of TNF-α and IL-6 were
measured by ELISA using commercial ELISA kits (Abcam, Cambridge, MA, USA)
according to the manufacturer’s instructions.
Immunofluorescence
Immunofluorescence was conducted to evaluate expression of NF-κB. Briefly, the
cells were fixed, permeabilised and then incubated with anti-NF-κB Ab (Abcam)
overnight at 4°C following by incubation with corresponding secondary Ab for 1 h
at room temperature. DAPI was used for staining the nucleus. A TCS-SP laser
scanning confocal microscope (Leica, Wetzlar, Germany) was used to take the
photomicrographs.
Quantitative RT-PCR
Quantitative RT-PCR was performed to determine expression of miR-146a/b, MALAT1,
VCAM-1, SELE and ICAM-1. Briefly, total RNA was extracted from the HMEC-1 cells
using TRIzol™ reagent (Invitrogen™; Thermo Fisher Scientific). RNA concentration
was determined using a NanoDrop ND-1000 spectrophotometer (NanoDrop
Technologies, Wilmington, DE). A Prime-Script™ one step quantitative RT-PCR kit
(Takara Biotechnology, Dalian, PR China) was used to convert RNA to cDNA.
Quantitative RT-PCR reactions were performed using the 7500 Real Time PCR System
(Applied Biosystems, Foster City, CA) using SYBR Green Master Mix (Solarbio
Science & Technology Co. Ltd, Beijing, PR China) in an Exicycler™ 96
(Bioneer Corp., Daejeon, Korea). Primers used in the PCR are listed in Table 1. The relative
RNA levels were calculated using the 2–ΔΔCq method. U6 and GAPDH were
used as internal controls.
Table 1.
Paired primer sequences used in quantitative RT-PCR.
Paired primer sequences used in quantitative RT-PCR.
Dual-luciferase reporter assay
The binding between miR-146a/miR-146b and MALAT1 was confirmed using the
dual-luciferase reporter assay. The predicted binding mode for miR-146a and
miR-146b and MALAT1 was obtained using bioinformatic prediction using TargetScan
v5.1 (Whitehead Institute for Biomedical Research, Cambridge, MA). For the
dual-luciferase reporter assay, wild type (WT) constructs of MALAT1
3′-untranslated region (3′-UTR) or mutant (MUT) were inserted into a pmirGLO
Dual-Luciferase miRNA Target Expression Vector (Promega, Madison, WI). The
corresponding mutant constructed by mutating the miR-146a/b seed region binding
site, named as MALAT1 3′-UTR-mutated-type (MUT), was designed and synthesised by
GenePharma. HEK293T cells were then transfected with the luciferase reporter
plasmids and miR-146a/b mimics/miR-NC. After transfection for 48 h, luciferase
activity was measured by the Dual-Luciferase Reporter System (Promega) using a
Centro LB 960 microplate luminometer (Berthold Technologies, Bad Wildbad,
Germany). All reactions were performed in triplicate for at least three
independent experiments.
Western blotting
Western blotting was used to test the protein levels of MALAT1, VCAM-1, SELE,
ICAM-1, IκBα and NF-κB p65. β-Actin served as a loading control. Proteins were
extracted from HMEC-1 cells using radio-immunoprecipitation assay (RIPA) buffer
(Vazyme Biotec Co., Ltd, Nanjing, PR China), and the protein amount was
quantitated with protein assay reagent from Bio-Rad (Hercules, CA). Samples were
then subjected to 10% SDS-PAGE, transferred to polyvinylidene difluoride
membranes and blocked by 5% non-fat milk at room temperature for 1 h. Membranes
were then incubated with a special primary Ab at 4°C overnight. Subsequently,
membranes were incubated with a HRP-conjugated immunoglobulin G secondary Ab at
37°C for 45 min. All Abs were purchased from Abcam (Cambridge, MA, USA) and used
in dilution as recommended. Protein bands were scanned with the Pierce ECL
Western Blotting Substrate (Thermo Fisher Scientific) and a chemiluminescence
system (Bio-Rad).
Statistical analysis
Data are expressed as the mean±standard deviation. Comparisons between two groups
were performed using Student’s t-test. Comparisons among three
or more groups were conducted using one-way ANOVA with Tukey’s post hoc test.
The results were considered statistically significant at
P < 0.05. All calculations were performed using IBM SPSS
Statistics for Windows v22.0 (IBM Corp., Armonk, NY).
Results
LPS-induced up-regulation of miR-146a/b and promoted inflammatory injury of
HMEC-1 cells
To investigate the LPS-induced inflammation in HMEC-1 cells, cell viability,
expression of miR-146a/b, TNF-α and IL-6, as well as angiogenesis ability and
injury biomarkers were measured. Results showed that LPS at concentrations of 5,
10 and 15 μg/ml significantly decreased the cell viability compared to that of
the control (Figure 1a).
Meanwhile, following LPS exposure, the expression of both miR-146a and miR-146b
was dramatically increased compared to the control cells in a dose-dependent
manner (Figure 1b).
Furthermore, both TNF-α and IL-6 levels were remarkably increased in LPS-treated
cells in a dose-dependent manner (Figure 1c). Determination of injury
biomarkers also identified that expression of VCAM-1, SELE and ICAM-1 was
dramatically up-regulated at both protein and mRNA levels after LPS (5 μg/ml)
treatment for 24 h (Figure 1d
and e). All these results indicate that LPS could induce
up-regulation of miR-146a, as well as TNF-α and IL-6, and promote inflammatory
injury of HMEC-1 cells.
Figure 1.
LPS-induced up-regulation of miR-146a/b and promoted inflammatory injury
of human microvascular endothelial cells (HMEC)-1 cells. HMEC-1 cells
were treated with a gradient concentration of LPS (5, 10 and 15 μg/ml)
or PBS for 24 h. (a) MTT assay analysis of cell viability. (b)
Quantitative RT-PCR analysis of the expression levels of miR-146a and
miR-146b. (c) ELISA analysis of the release of inflammatory factors
TNF-α and IL-6. (d) Quantitative RT-PCR analysis of mRNA expression
levels. (e) Western blot analysis of protein levels of ICAM-1, SELE and
VCAM-1 in HMEC-1 cells treated with 5 μg/ml LPS or not (PBS).
*P < 0.05; **P < 0.01;
***P < 0.001.
LPS-induced up-regulation of miR-146a/b and promoted inflammatory injury
of human microvascular endothelial cells (HMEC)-1 cells. HMEC-1 cells
were treated with a gradient concentration of LPS (5, 10 and 15 μg/ml)
or PBS for 24 h. (a) MTT assay analysis of cell viability. (b)
Quantitative RT-PCR analysis of the expression levels of miR-146a and
miR-146b. (c) ELISA analysis of the release of inflammatory factors
TNF-α and IL-6. (d) Quantitative RT-PCR analysis of mRNA expression
levels. (e) Western blot analysis of protein levels of ICAM-1, SELE and
VCAM-1 in HMEC-1 cells treated with 5 μg/ml LPS or not (PBS).
*P < 0.05; **P < 0.01;
***P < 0.001.
MiR-146a negatively regulated LPS-induced inflammation injury of HMEC-1
cells
Cells were then transfected with miR-146a mimics or inhibitor to investigate the
role of miR-146a in LPS-induced inflammation further. As shown in Figure 2a, expression of
miR-146a was significantly up-regulated in cells transfected with miR-146a
mimics while being dramatically down-regulated in cells transfected with
miR-146a inhibitor, suggesting the successful knockdown or overexpression of
miR-146a models. In addition, the ELISA result showed that both TNF-α and IL-6
levels in the cell supernatant were significantly inhibited in cells transfected
with miR-146a mimics, while they were significantly enhanced when cells were
transfected with miR-146a inhibitor compared to the control (Figure 2b). Meanwhile,
expression patterns of VCAM-1, SELE and ICAM-1 were remarkably decreased at both
protein and mRNA levels in cells transfected with miR-146a mimics and were
significantly increased when miR-146 was suppressed (Figure 2c and d). These results suggest
that miR-146a might negatively regulate LPS-induced inflammation of HMEC-1
cells.
Figure 2.
MiR-146a negatively regulated LPS-induced inflammation injury of HMEC-1
cells. HMEC-1 cells were transfected with miR-146a mimics or inhibitor
to investigate the function of miR-146a in the processes of inflammation
injury induced by LPS. (a) Quantitative RT-PCR analysis of the level of
miR-146a to confirm over-expression/knockdown efficiency of
mimics/inhibitor. (b) ELISA analysis of the effects of TNF-α and IL-6
release in HMEC cells after miR-146a over-expression or knockdown. (c)
RT-PCR analysis of mRNA expression levels. (D) Western blot analysis of
protein levels of ICAM-1, SELE and VCAM-1 in HMEC-1 cells after miR-146a
over-expression or knockdown. *P < 0.05;
**P < 0.01;
***P < 0.001.
MiR-146a negatively regulated LPS-induced inflammation injury of HMEC-1
cells. HMEC-1 cells were transfected with miR-146a mimics or inhibitor
to investigate the function of miR-146a in the processes of inflammation
injury induced by LPS. (a) Quantitative RT-PCR analysis of the level of
miR-146a to confirm over-expression/knockdown efficiency of
mimics/inhibitor. (b) ELISA analysis of the effects of TNF-α and IL-6
release in HMEC cells after miR-146a over-expression or knockdown. (c)
RT-PCR analysis of mRNA expression levels. (D) Western blot analysis of
protein levels of ICAM-1, SELE and VCAM-1 in HMEC-1 cells after miR-146a
over-expression or knockdown. *P < 0.05;
**P < 0.01;
***P < 0.001.
A mutually inhibitory regulation between miR-146a/b and MALAT1
To investigate mechanisms of miR-146 involvement in LPS-induced inflammation
further, expression of MALAT1 was determined using quantitative RT-PCR. In
HMEC-1 cells transfected with miR-146a mimics, the expression of MALAT1 was
significantly inhibited, while the knockdown of miR-146a resulted in a
significant increase of MALAT1 compared to the control (Figure 3a). The predicted binding region
between miR-146a/b and MALAT1 is shown in Figure 3b. Further, the dual-luciferase
reporter assay showed that luciferase activity was significantly decreased when
cells were transfected with miR-146a mimics and WT MALAT1 vector (WT-MALAT1;
P < 0.05). However, no significant difference was found
in the group transfected with miR-146a mimics and mutated MALAT1 vector
(MUT-MALAT1; Figure 3c),
indicating that miR-146a/b directly interacted with MALAT1 at the predicted
site. In addition, the classical regulatory mechanism of lncRNAs acting as ceRNA
modulating the action of miRNAs has been widely recognised. Therefore, to verify
whether MALAT1 acts as a ceRNA in HMEC-1 cells, the changes of MALAT1 expression
were investigated (Supplemental Figure A). Moreover, quantitative RT-PCR results
also revealed the negative regulation of MALAT1 on miR-146a/b expression
(Supplemental Figures B and C). Taken together, these data suggest the
bidirectional action of MALAT1 and miR-146a.
Figure 3.
MiR-146a/b directly targeted and negatively regulated MALAT1. (a)
Quantitative RT-qPCR analysis of the level of lncRNA MALAT1 in HMEC
cells after miR-146a over-expression or knockdown. (b) Graphical
representation of the predicted binding sites between MALAT1 and
miR-146a/miR-146b by TargetScan software and their designed mutants. (c)
The dual-luciferase reporter assay for the effects of luciferase
activity of MALAT1-WT and the mutant ones (MALAT1-MUT1/MALAT1-MUT2,
collectively known as MALAT1-MUT) co-transfected with miR-146a/miR-146b.
*P < 0.05; **P < 0.01;
***P < 0.001.
MiR-146a/b directly targeted and negatively regulated MALAT1. (a)
Quantitative RT-qPCR analysis of the level of lncRNA MALAT1 in HMEC
cells after miR-146a over-expression or knockdown. (b) Graphical
representation of the predicted binding sites between MALAT1 and
miR-146a/miR-146b by TargetScan software and their designed mutants. (c)
The dual-luciferase reporter assay for the effects of luciferase
activity of MALAT1-WT and the mutant ones (MALAT1-MUT1/MALAT1-MUT2,
collectively known as MALAT1-MUT) co-transfected with miR-146a/miR-146b.
*P < 0.05; **P < 0.01;
***P < 0.001.
Inhibition of MALAT1 suppressed LPS-induced NF-κB activation and inflammatory
factor secretion
Expression of NF-κB signalling-related proteins as well as TNF-α and IL-6 was
detected when MALAT1 was silenced. We observed that expression of MALAT1 was
dramatically enhanced in cells treated with LPS, while up-regulation of MALAT1
was markedly inhibited in cells transfected with shMALAT1 (Figure 4a), indicating the successful
silencing of MALAT1. As shown in Figure 4b, LPS treatment significantly
increased the levels of p-IκBα and p-NF-κB p65, while these positive effects
were markedly repressed by MALAT1 knockdown. A similar result was also observed
in immunofluorescence analysis of NF-κB. When cells were treated with LPS, the
nucleus level of NF-κB was obviously enhanced, while knockdown of MALAT1 caused
the inhibition of NF-κB expression in the nucleus (Figure 4c). Moreover, ELISA analysis also
showed that the increased supernatant levels of TNF-α and IL-6 induced by LPS
were dramatically inhibited when cells were transfected with shMALAT1 (Figure 4d). These findings
demonstrate that silencing of MALAT1 could suppress NF-κB signalling activation
induced by LPS in HMEC-1 cells.
Figure 4.
Inhibition of MALAT1 suppressed LPS-induced NF-κB activation and
inflammatory factor secretion. (a) Quantitative RT-PCR analysis of the
level of MALAT1 in MALAT1-deficient and WT HMEC-1 cells with or without
LPS treatment. (b) Western blot analysis of protein levels of IκBα,
NF-κB p65 and their phosphorylation levels in MALAT1-deficient and WT
HMEC-1 cells with or without LPS treatment. (c) Representative images of
the expression and distribution of NF-κB p65 in MALAT1-deficient and WT
HMEC-1 cells with or without LPS treatment by immunofluorescence. (d)
ELISA analysis of the effects of TNF-α and IL-6 release in
MALAT1-deficient and WT HMEC-1 cells after LPS treatment or not.
*P < 0.05; **P < 0.01.
Inhibition of MALAT1 suppressed LPS-induced NF-κB activation and
inflammatory factor secretion. (a) Quantitative RT-PCR analysis of the
level of MALAT1 in MALAT1-deficient and WT HMEC-1 cells with or without
LPS treatment. (b) Western blot analysis of protein levels of IκBα,
NF-κB p65 and their phosphorylation levels in MALAT1-deficient and WT
HMEC-1 cells with or without LPS treatment. (c) Representative images of
the expression and distribution of NF-κB p65 in MALAT1-deficient and WT
HMEC-1 cells with or without LPS treatment by immunofluorescence. (d)
ELISA analysis of the effects of TNF-α and IL-6 release in
MALAT1-deficient and WT HMEC-1 cells after LPS treatment or not.
*P < 0.05; **P < 0.01.
MALAT1 modulated inhibition of miR-146a on LPS-induced NF-κB
activation
To certify further whether MALAT1 is involved in miR-146a protection on
LPS-induced inflammation injury of HMEC-1 cells through NF-κB signalling, cells
were co-transfected with miR-146a inhibitor and shMALAT1 or were transfected
with miR-146a inhibitor and also treated with NF-κB signalling inhibitor JSH-23.
As shown in Figure 5a,
following exposure with LPS, expression of both p-IκBα and p-NF-κB p65 was
significantly decreased by over-expression of miR-146a but dramatically
increased by miR-146a inhibitor. However, when co-transfected with both miR-146a
inhibitor and shMALAT1, the increasing effect of p-IκBα and p-NF-κB p65 by
miR-146a inhibitor was dramatically recovered. Similar results were also
obtained when cells were transfected with miR-146a inhibitor following exposure
with NF-κB signalling inhibitor JSH-23 or shMALAT1, indicating that MALAT1 might
be a target of the negative regulation of miR-146a on LPS-induced NF-κB
signalling activation. Meanwhile, supernatant levels of TNF-α and IL-6 were
significantly enhanced by inhibition of miR-146a. However, this effect was also
recovered by co-transfection of shMALAT1 or co-treatment of JSH-23 (Figure 5b). Similarly, the
increased expression of VCAM-1, SELE and ICAM-1 was remarkably decreased by
co-transfection of shMALAT1 or co-treatment of JSH-23 at both protein and mRNA
levels (Figure 5c and
d). Altogether, these results suggest that MALAT1 could be involved in
modulating the inhibition of miR-146a on LPS-induced NF-κB activation. A graph
summarising these intertwined networks is displayed in Figure 5e. Nevertheless, the exact
mechanisms need to be explored further.
Figure 5.
MALAT1 modulated MiR-146a’s inhibition of LPS-induced NF-κB activation.
(a) Western blot analysis of protein levels of IκBα, NF-κB p65 and their
phosphorylation levels in LPS-treated HMEC-1 cells transfected with
miR-146a mimics/inhibitor (miR-146a, anti-miR-146a) and their negative
controls (miR-NC, anti-miR-NC) only, as well as in HMEC-1 cells
co-treated with miR-146a inhibitor and shMALAT1 or JSH-23 (2 μM, an
inhibitor of NF-κB pathway). (b) The HMEC-1 cells were transfected with
miR-146a inhibitor only or co-treated with JSH-23 or shMALAT1 for 24 h,
and then all cells in each group were exposed to LPS for another 24 h.
ELISA analysis of the effects of TNF-α and IL-6 release, and (c) RT-qPCR
analysis of the mRNA levels and (d) Western blot analysis of protein
levels of ICAM-1, SELE and VCAM-1. *P < 0.05;
**P < 0.01;
***P < 0.001.
MALAT1 modulated MiR-146a’s inhibition of LPS-induced NF-κB activation.
(a) Western blot analysis of protein levels of IκBα, NF-κB p65 and their
phosphorylation levels in LPS-treated HMEC-1 cells transfected with
miR-146a mimics/inhibitor (miR-146a, anti-miR-146a) and their negative
controls (miR-NC, anti-miR-NC) only, as well as in HMEC-1 cells
co-treated with miR-146a inhibitor and shMALAT1 or JSH-23 (2 μM, an
inhibitor of NF-κB pathway). (b) The HMEC-1 cells were transfected with
miR-146a inhibitor only or co-treated with JSH-23 or shMALAT1 for 24 h,
and then all cells in each group were exposed to LPS for another 24 h.
ELISA analysis of the effects of TNF-α and IL-6 release, and (c) RT-qPCR
analysis of the mRNA levels and (d) Western blot analysis of protein
levels of ICAM-1, SELE and VCAM-1. *P < 0.05;
**P < 0.01;
***P < 0.001.
Discussion
Despite numerous studies on sepsis, the underlying molecular mechanisms are still
elusive. Both lncRNAs and miRNAs have recently been found to be associated with
inflammation. However, to the best of our knowledge, few studies have focused on the
role of miR-146 and its possible relationship with LPS-induced inflammation in
HMECs. In the present study, we demonstrated that miR-146 could protect HMECs
against inflammatory injury by inhibiting NF-κB signalling and inflammatory factors
through targeting lncRNA MALAT1.LPS-induced inflammation in endothelial cells has been reported in many studies. It
was found that LPS could induce inflammation by increasing caspase-3 activation and
modulating mitochondrial function in endothelial cells.[22] Furthermore, Li et al. demonstrated that LPS could induce endothelial cell
inflammatory responses through activation of the NF-κB signalling pathway.[23] It is also widely known that inflammatory factors, including TNF-α and IL-6,
are up-regulated in LPS-induced inflammation.[24,25] In the present study, we found
that LPS could induce inflammatory injury in HMECs, including increasing of TNF-α
and IL-6 and activation of NF-κB signalling, which is consistent with previous
findings.Both miR-146a and miR-146b can regulate inflammatory responses, and it has been
recognised that miR-146a plays a critical role in regulating the proliferation of
immune cells and inhibiting inflammatory responses.[9,26] In addition, Boldin et al.
demonstrated that deficiency of miR-146a could elevate the systemic response to LPS.[27] Yang et al. found that miR-146a could inhibit oxidised low-density
lipoprotein-induced lipid accumulation and inflammatory response by targeting TLR4.[28] It has also been verified that NF-κB signalling can be inhibited by miR-146a
in inflammation.[29] In our study, we also revealed that over-expression of miR-146a could inhibit
the LPS-induced inflammation in HMEC-1 cells, and the effect was through regulation
of MALAT1 and NF-κB signalling.The interaction between miR-146a and MALAT1 has been demonstrated in several studies.
On the one hand, MALAT1 could act as a ceRNA to regulate the expression of miR-146
negatively. Ding et al. demonstrated that MALAT1 could negatively regulate miR-146a
in LPS-induced acute kidney injury.[21] It has also been reported that inhibition of MALAT1 led to the suppression of
inflammatory responses by up-regulating miR-146a in LPS-induced acute lung injury.[30] On the other hand, there are several studies certifying the negative
regulation of miRNAs on the expression of lncRNAs, including MALAT1. For example, it
has been reported that miR-9 targeted MALAT1 and contributed to the degradation in
the nucleus.[31] Li et al. demonstrated miR-101 and miR-127 targeted and regulated MALAT1 in
esophageal squamous-cell carcinoma.[32] Therefore, these findings imply a bidirectional relationship between miRNAs
and MALAT1. Similarly, our data also demonstrate a mutually inhibitory regulation
between miR-146 and MALAT1 by the dual-luciferase reporter assay and quantitative
RT-PCR analysis, suggesting the balance between miR-146 and MALAT1 might be a key
component for inflammation development. However, deeper insights are still
needed.MALAT1 has recently been considered to be associated with inflammation process.
Michalik et al. demonstrated that MALAT1 was elevated and could regulate
inflammatory responses in endothelial cells.[33] It was also found that in diabetic complications, MALAT1 is up-regulated,
along with increasing levels of inflammatory cytokines.[34] Meanwhile, Chen et al. revealed that in cecal ligation and a puncture-induced
sepsis model, MALAT1 was up-regulated and could induce cardiac dysfunction and
inflammation through interaction with miR-125b and p38 MAPK/NF-κB.[35] In addition, it has also been demonstrated that MALAT1 contributes to
inflammatory response of microglia in spinal cord injury through modulating the
miR-199b/IKKβ/NF-κB signalling pathway.[36] These findings indicate that MALAT1 could inhibit NF-κB signalling in an
indirect manner by serving as a ceRNA of other miRNAs. Similarly, our findings also
show that MALAT1 is up-regulated in LPS-induced inflammation in HMEC-1 cells, and
that down-regulation of MALAT1 could reduce the LPS-induced inflammation by
inhibition of NF-κB signalling. Further mechanistic research also implied that
MALAT1 could be involved in miR-146’s inhibition of LPS-induced NF-κB activation.
However, the exact mechanisms need to be explored further. Despite the results of
our research, there are many other signalling pathways involved in the development
of sepsis as well as LPS-induced inflammation, such as AK/STAT signalling,[37] P2X7 receptor signalling[38] and cAMP/PKA signalling.[39] The present study only focused on the mechanisms of MALAT1/miR-146a/b/NF-κB
signalling, which was also limited to in vitro studies. Thus, we
will devote our effort to in vivo studies for further verification.
Additionally, it is still unclear whether there are other signalling pathways
involved in this process, and this needs to be explored further.In conclusion, we conducted an in vitro study to investigate role of
miR-146 and its possible relationship with MALAT1 in LPS-induced inflammation in
HMECs. The results reveal the protective role of miR-146 in LPS-induced inflammatory
injury of HMECs. Furthermore, it was shown that MALAT1 participates in miR-146’s
inhibition of LPS-induced NF-κB activation. Therefore, this study might give deeper
insights into miR-146 and MALAT1 in the inflammation process, as well as provide
possible new research targets in sepsis.Click here for additional data file.Supplemental Material for MALAT1 modulates miR-146’s protection of microvascular
endothelial cells against LPS-induced NF-κB activation and inflammatory injury
by Lin-Lin Feng, Wei-Na Xin and Xiu-Li Tian in Innate Immunity
Authors: Kai Wang; Juan Li; Gang Xiong; Gang He; Xingying Guan; Kang Yang; Yun Bai Journal: Biochem Biophys Res Commun Date: 2017-11-21 Impact factor: 3.575