miR-195 inhibits macrophages pro-inflammatory profile and impacts the crosstalk with smooth muscle cells

Joao Paulo Bras; Andreia Machado Silva; George A. Calin; Mario Adolfo Barbosa; Susana Gomes Santos; Maria Ines Almeida

doi:10.1371/journal.pone.0188530

Abstract

Macrophages are a main component of atherosclerotic plaques. Recent studies suggest that pro-inflammatory M1 macrophages are pro-atherogenic while M2 macrophages promote plaque stability. Moreover, toll-like receptor signalling pathways are implicated in atherosclerotic plaque formation, evolution and regression. We propose microRNAs as key regulators of these processes. In this context, our goal is to promote inflammation resolution using miR-195 to reduce M1-like macrophage polarization and to evaluate the molecular mechanisms underlying such effect, as well as to explore the functional consequences for smooth muscle cell recruitment. Human primary macrophages were differentiated from peripheral blood monocytes and stimulated with LPS or IL-10 to promote M1 or M2c polarization, respectively. miR-195 levels were upregulated in M2c macrophages compared with M1 macrophages. In THP-1 macrophages stimulated with LPS and IFN-γ, results show that TLR2 levels were reduced by miR-195 overexpression compared with scrambled control. In addition, phosphorylated forms of p54 JNK, p46 JNK and p38 MAPK were decreased by miR-195 in macrophages following M1 stimulation. Moreover, miR-195 significantly decreased levels of IL-1β, IL-6 and TNF-α pro-inflammatory cytokines in the supernatants of M1-stimulated macrophage cultures. At the functional level, results from smooth muscle cell recruitment and migration models showed that miR-195 impairs the capacity of M1 macrophages to promote smooth muscle cells migration. In conclusion, miR-195 is involved in macrophage polarization and inhibits TLR2 inflammatory pathway mediators. Moreover, miR-195 impairs the effect of macrophages on smooth muscle cells recruitment capacity and migration profile. Thus, miR-195 might be used as a new potential tool to promote inflammation resolution in cardiovascular research.

Citation: Bras JP, Silva AM, Calin GA, Barbosa MA, Santos SG, Almeida MI (2017) miR-195 inhibits macrophages pro-inflammatory profile and impacts the crosstalk with smooth muscle cells. PLoS ONE 12(11): e0188530. https://doi.org/10.1371/journal.pone.0188530

Editor: Gianfranco Pintus, Qatar University College of Health Sciences, QATAR

Received: August 2, 2017; Accepted: November 8, 2017; Published: November 22, 2017

Copyright: © 2017 Bras et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the paper and its Supporting Information files.

Funding: This work was funded by the project (NORTE-01-0145-FEDER-000012), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). JPB, AMS and MIA were supported by FCT–Fundação para a Ciência e a Tecnologia, through fellowships PD/BI/128356/2017, SFRH/BD/85968/2012 and SFRH/BPD/91011/2012, respectively. JPB would like to thank to BiotechHealth PhD Programme and MIA to L’Oreal-UNESCO-FCT for the Medal of Honor for Women in Science.

Competing interests: Dr. George A. Calin and Dr. Mario Adolfo Barbosa are co-authors of this manuscript and PLOS ONE Editorial Board members. However, this does not alter the authors’ adherence to PLOS ONE Editorial policies and criteria.

Introduction

Chronic inflammation is a major feature of atherosclerosis, which underlies several cardiovascular diseases [1,2]. In atherosclerosis, the normal homeostatic functions of the endothelium are altered, promoting an inflammatory response. Initially, adhesion molecules expressed by inflamed endothelium recruit leukocytes, mainly monocytes, which penetrate into the intima and differentiate into macrophages, predisposing the vessel wall to lipid accretion or vasculitis [3]. Many of the inflammatory processes that occur throughout atherogenesis are orchestrated by resident and recruited macrophages [4,5]. These cells can adopt diverse activation states in response to micro-environmental triggers [6].

Macrophage heterogeneity is particularly important in atherosclerosis lesions due to the opposing roles of M1 (pro-inflammatory) and M2 (anti-inflammatory) macrophage phenotypes, which are dependent on the inflammatory molecules present in the microenvironment. During disease progression, the increase in the total number of macrophages and the presence of pro-inflammatory cytokines has an enormous impact in increased plaque vulnerability [7]. In the lesion site most prone to plaque rupture, macrophages expressing pro-inflammatory markers are shown to be the most predominant population, while in the fibrous cap regions, M2 macrophages are shown to have greater impact [8]. Thus, although potential deleterious effects of M1 macrophages could be counteracted by the protective pro-fibrotic and tissue repair effects of M2 macrophages in the fibrous cap, the limited number of M2 macrophages in the plaque cannot balance the M1-mediated effects, promoting plaque instability [8,9]. The emerging understanding about macrophage interactions with vascular smooth muscle cells (VSMC) in the atherosclerotic plaque, and how macrophage secretion profile influence VSMC phenotype, led to the general consensus that pro-inflammatory M1 macrophages are pro-atherogenic, while M2 macrophages may promote plaque stability [6,10,11]. Therefore, modulation of macrophage function by reducing their pro-inflammatory activity in order to promote plaque stability is an exciting therapeutic prospect.

microRNAs (miRNAs) are a class of small non-coding RNAs (approximately 15–25 nucleotides long) crucial for post-transcriptional regulation of gene expression. Mature miRNAs bind to 3′untranslated region (UTR), coding regions or 5′UTR of messenger RNAs (mRNAs), inhibiting translation or causing mRNA degradation [12]. Importantly, miRNAs are involved in key cellular functions, including macrophage polarization. Thus, miRNAs are able to modulate the magnitude of an inflammatory response by targeting mRNA encoding cytokines, surface receptors and other inflammation-related molecules, which have direct consequences in macrophage phenotypes. Recently, several miRNAs have been shown to be involved in pathways that induce M1 (miR-9, miR-127 and miR-155) [13–15] and M2 (miR-125a-5p, miR-146a, miR-223 and let-7c) [16–18] macrophage polarizations, while others are directly involved in the promotion and aggravation of atherosclerosis. Interestingly, miR-195 inhibits VSMC proliferation and migration, and reduces neointimal formation in a balloon-injured carotid artery [19], which shows that miR-195 plays a role in the cardiovascular system.

A single miRNA is able to regulate a large number of mRNAs [12] and potentially regulate simultaneously inflammation and atherosclerosis processes, which encourages their use as therapeutic targets in the context of atherosclerosis lesions. The aim of this study is to evaluate the role of miR-195 in inflammation resolution through modulation of macrophage polarization and to determine the consequent functional effect on their crosstalk with other cellular components of the plaque, namely smooth muscle cells.

Materials and methods

Ethics statement

In this study, human primary monocytes were isolated from buffy coats of healthy blood donors, obtained through a collaboration protocol with Serviço de Imunohemoterapia, Centro Hospitalar São João (CHSJ). This was approved by CHSJ Ethics Committee for Health (References 259 and 260/11), and conforms to the declaration of Helsinki. A written informed consent was obtained from all subjects before blood donation. Buffy coats were provided anonymized, and their identification was not accessible to researchers.

Human primary monocyte isolation, differentiation and polarization

Human primary monocytes were obtained from healthy blood donors buffy coats (BC). RosetteSep human monocyte enrichment isolation kit (StemCell Technologies) was used, according to Oliveira et al. [20]. Firstly, BC were centrifuged at room temperature (RT) for 20 minutes (min) at 1200 g, without active acceleration or brake, for blood components separation. Peripheral blood mononuclear cells (PBMCs) layer, and red blood cells necessary to the formation of immunorosettes, were collected and incubated with RosetteSep human monocyte enrichment isolation kit (Stemcell Technologies) for 20 min, under gentle mixing. The mixture was diluted at a 1:1 ratio with 2% fetal bovine serum (FBS) in phosphate buffered saline (PBS), gently layered over Histopaque-1077 (Sigma) and centrifuged as described above. The enriched monocyte layer was collected, and washed with PBS for platelet depletion, by centrifugation at 700 rpm for 17 min. Recovered monocytes were plated (0.5 x 10⁶ cells/well) on top of sterile 13 mm glass coverslips in 24-well plates and cultured in complete culture medium (RPMI 1640, Life Technologies) supplemented with 10% FBS (Lonza) and 1% penicillin streptomycin (P/S, Invitrogen), in a humidified 37°C/5% CO₂ incubator. Primary human monocytes were allowed to differentiate into macrophages. Cell culture media was carefully changed at day 7, ensuring minimum cell disturbance and incubated for 3 additional days. At day 10, polarization of differentiated macrophages was induced. Cells were treated with 10 ng/mL lipopolysaccharide (LPS) to stimulate pro-inflammatory M1 macrophages, or with 10 ng/mL interleukine-10 (IL-10) to induce anti-inflammatory M2c macrophages, and incubated for 3 additional days.

THP-1 monocyte differentiation and polarization

THP-1 monocytic cell line [21] was cultured in complete RPMI 1640 medium supplemented with 10% FBS and 1% P/S. In order to induce a macrophage-like phenotype, cells were plated in 24-well plates (0.25 x 10⁶ cells/well) with medium containing 100 ng/mL of phorbol 12-myristate 13-acetate (PMA) (Sigma) and allowed to differentiate for 48h. To obtain macrophages at a resting state, adherent cells were cultured in medium without PMA for additional 24 h. To mimic a pro-inflammatory environment and consequently promote an M1 polarization, cells were stimulated with 100 ng/mL LPS and 20 ng/mL IFN-γ (Sigma).

Human primary umbilical artery smooth muscle cells

Human primary umbilical artery smooth muscle cells (HUASMC), kindly donated by Dr. Elisa Cairrão from Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (Portugal), were cultured in Dulbecco’s modified Eagle’s F12 (DMEM-F12) media supplemented with 5% FBS, epidermal growth factor (EGF, 5 μg/mL), fibroblast growth factor (FGF, 0.5 ng/mL), heparin (2 μg/mL) (all from Immunotools), and insulin (5 μg/mL) (Sigma). Cells were plated in T75 flasks previously coated with collagen type I (Sigma) and cultured in a humidified 37°C/5% CO₂ incubator.

Transfections

Differentiated THP-1 macrophages were transfected with miRNA mimics (Pre-miR miRNA Precursor miR-195-5p) or Pre-miR miRNA Precursor Negative Control (Scrambled—SCR) (Life Technologies), using Lipofectamine 2000 transfection reagent (Invitrogen), as recommended by the manufacturer. Final miRNA mimics concentration was 50 nM per well. Non-transfected cells were analyzed simultaneously as a control.

RNA extraction

Total RNA was extracted from macrophages using TRIzol reagent (Invitrogen) according to the manufacturer’s instructions. RNA concentration and purity was evaluated by measuring absorbance in NanoDrop 1000. Ratio of 260/280 nm and 260/230 nm range was between 1.8 and 2. RNA integrity was accessed by gel electrophoresis.

Reverse transcription and real-time quantitative polymerase chain reaction

miRNA expression was evaluated in primary and THP-1 macrophages by Reverse Transcription—Real-Time quantitative Polymerase Chain Reaction (RT-qPCR) using TaqMan miRNA assays (Applied Biosystems). Firstly, cDNA was synthesized using RNA, TaqMan MicroRNA Reverse Transcription Kit (Applied Biosystems) and gene specific stem-loop Reverse Transcription primers (hsa-miR-195-5p and small nuclear RNA U6) (Applied Biosystems). qPCR reactions were prepared using cDNA, miR-195 or small nuclear RNA U6 TaqMan probe (Applied Biosystems) and SsoAdvanced^™ Universal Probes Supermix (Bio-Rad).

For gene expression array data validation, RNA from SCR and miR-195 transfected THP-1 macrophages was treated with TURBO DNA-free Kit (Invitrogen) and complementary DNA (cDNA) was synthesized using Random Hexamers (Invitrogen), dNTPs (Bioline) and SuperScript^® III Reverse Transcriptase (Invitrogen). qPCR was carried out using cDNA, primers and iQ SYBR Green Supermix (Bio-Rad). Primers used for qPCR experiments are shown in S1 Table.

qPCR reactions were performed in duplicate in a MyCycler Thermal Cycler (Bio-Rad) and relative expression levels were calculated using the quantification cycle (Cq) method, according to MIQE guidelines [22].

Flow cytometry

Differentiated and polarized macrophages derived from primary monocytes or THP-1 cell line were harvested with 5mM EDTA-PBS and centrifuged at 300 g for 5 min, at 4°C. Cells were resuspended in FACS buffer (PBS 1X, 2% FBS, 0.01% sodium azide) and immunostained for cell markers with fluorochrome-conjugated antibodies, for 20 min at 4°C in the dark. For primary human macrophages, CD14 was used as lineage marker [20] and CD86 and CD163 were used as M1 and M2 specific markers, respectively. The following antibodies were used: anti-CD14-APC (Immunotools), anti-CD86-FITC (Immunotools) and anti-CD163-PE (BD Biosciences Pharmingen). Unlabeled macrophages and labelling with isotypes IgG1-APC, IgG1-FITC and IgG1-PE (all from Immunotools) were used as negative controls.

To evaluate levels of toll-like receptors (TLRs) in THP-1 transfected macrophages the following antibodies were used: anti-CD11b-PE (eBioscience), anti-TLR4-Alexa Fluor 488 (eBioscience) and anti-TLR2-Alexa Fluor 647 (Biolegend). Unlabeled THP-1 macrophages and isotypes immunostaining with IgG1-PE, IgG2-FITC and IgG1-APC (all from Immunotools) were used as control. To evaluate intracellular TLR expression levels, cells were additionally permeabilized for 5 min with 0.1% Triton in PBS, blocked with 1% Bovine Serum Albumin (BSA) in PBS and then immunostained using the cocktail of antibodies described above (containing anti-CD11b-PE, anti-TLR4-Alexa Fluor 488 and anti-TLR2-Alexa Fluor 647). Non-transfected, non-stimulated THP-1 macrophages were used as control.

Fluorescence was measured in FACS Canto II flow cytometer (BD Biosciences Pharmingen) with BD FACS Diva software. Results were analyzed using FlowJo Software V10 (FlowJo, LLC).

Western blot

THP-1-derived macrophages were transfected with miR-195 mimics or SCR and then stimulated with 100 ng/mL LPS and 20 ng/mL IFN-γ. Cells were then harvested and washed twice with cold PBS before cell lysis with RIPA buffer in the presence of protease and phosphatase inhibitors. Lysates were centrifuged (14000 rpm, 10 min, 4°C) and protein was quantified using DC protein assay kit (Bio-Rad). Protein samples were resolved by SDS-PAGE in reducing conditions and transferred to nitrocellulose membranes, which were blocked in a solution of 5% BSA in TBS-Tween 0.1% or 5% milk in TBS-Tween 0.1% for phosphorylated or total proteins detection, respectively. Membranes were then probed overnight using the following primary antibodies: anti-phospho-p38 MAP Kinase (Thr180/Tyr182), anti-phospho-SAPK/JNK (Thr183/Tyr185), anti-p38 MAP Kinase, anti-GAPDH, anti-α-tubulin (all from Cell Signaling) and anti- JNK (D-2) (Santa Cruz Biotechnology); appropriate secondary antibodies conjugated to horseradish peroxidase (HRP) were used for signal detection, followed by membrane incubation with chemiluminescent substrate (ECL, GE Healthcare) and exposure to X-ray films.

Enzyme-linked immunosorbent assay (ELISA)

Supernatants of transfected/stimulated macrophage cultures were collected and levels of cytokines were evaluated using enzyme-linked immunosorbent assay (ELISA), according to the manufacturer’s protocol, namely: IL-1β (Legend Max Human ELISA kits, BioLegend), IL-6, and TNF-α (Human Standard ABTS ELISA Development Kits, PeproTech). Cytokine concentrations (pg/mL) were determined using a standard calibration curve.

Migration assays

Evaluation of miR-195 effect on the capacity of THP-1 macrophages to recruit HUASMC was assessed by transwell assays. Firstly, THP-1 cells were differentiated to macrophages, transfected with either miR-195 or SCR, and stimulated with 100 ng/mL LPS and 20 ng/mL IFN-γ for six hours, in 24-well plates (bottom compartment of the transwell system—BC). Then, HUASMC in FBS-free media were plated in Boyden chambers (inserts) with PET membranes of 8 μm pore size, previously coated with sterile 1% BSA (top compartment of the transwell system–TC). Finally inserts were placed on top of the wells containing THP-1 derived cells, and HUASMC were allowed to migrate through the membrane for 24h. M1 stimulation cytokines only, non-stimulated, and non-transfected THP-1 macrophages were used as controls for HUASMC migration. Then, culture media was removed and membranes washed twice with PBS. Cells were fixed with 4% paraformaldehyde for 15 min at RT. Insert membranes were washed again with PBS and the inner side of the membrane was scrubbed with a cotton swab to remove non-migrated cells. Membrane was removed from the insert and mounted on a microscope slide using Fluoroshield with DAPI (Sigma). Six random fields of migrated nuclei were counted per membrane and fold-change in migration was calculated relative to non-stimulated, non-transfected THP-1 macrophages.

For wound healing assays, HUASMC were plated in 24 well plates pre-coated with collagen type I (0.15x10⁵ cells/m²). Cells were cultured in DMEM F12 containing 10% FBS until they reached 80% confluence. Then, the monolayer was disrupted in the middle of the well, using a plastic tip, to create a “wound”. Cells were then washed with PBS 1x and cultured with conditioned media from differently stimulated THP-1 macrophages, up to 36 hours. Images of the wound area were obtained at 0, 12, 24 and 36 hours using a 5x objective, and gap area quantified using Fiji Software to evaluate HUASMC migration.

In silico miR-195 targets prediction

In silico predictions of miR-195-5p targets were performed by screening the databases TargetScan (http://www.targetscan.org/), RNA22 (https://cm.jefferson.edu/rna22/Interactive/), miRanda (http://www.microrna.org/microrna/home.do) and miRWalk (http://zmf.umm.uni-heidelberg.de/apps/zmf/mirwalk2/). hsa-miR-195-5p sequence annotation was obtained from the miRBase database (http://www.mirbase.org/). Then, from the list of mRNAs predicted to be targeted by miR-195, the interaction with TLR2 was specifically analyzed. Target genes transcripts FASTA format sequence annotations were obtained from Ensemble (http://www.ensembl.org/).

Luciferase assay

Cloning and luciferase assays were performed as previously described [23]. Briefly, TLR2 mRNA fragments of about 200 nt that contained the miR-195 putative binding site were amplified by PCR using primers containing the XbaI restriction enzyme site. PCR products were purified, digested, and directly cloned into the Xbal site of the pGL3 control vector (Promega Corporation, Madison, WI), located downstream of the firefly luciferase reporter gene. The QuikChange II XL site-directed mutagenesis kit (Agilent Technologies, Santa Clara, CA) was used to generate mutations in the miRNA-binding site. All primers are listed in S2 Table. Cells were cotransfected with 50 nM of SCR or miR-195, and 0.4 μg of pGL3-putative binding site plasmids or pGL3-mutated putative binding site plasmids, together with Renilla luciferase construct that was used as a normalization reference. Transfections were performed in OPTI-MEM I (Invitrogen) using Lipofectamine 2000 reagent (Invitrogen). Cells were lysed 48 h after transfection and luciferase activity was measured in Veritas Microplate Luminometer (Turner Biosystems), using a dual-luciferase reporter assay system (Promega Corporation), according to the manufacturer protocol.

cDNA microarray and gene functional annotation

RNA from miR-195-THP1 macrophages and SCR-THP-1 macrophages was isolated as described above and RNA quality was assessed using Bioanalyzer RNA 6000 Nano Kit (Agilent). Gene expression was determined using GeneChip Human Clariom S arrays (Affymetrix). Results were analysed using Transcriptome Analysis Console (TAC) Software (Affymetrix). Ingenuity Pathway Analysis (IPA; https://www.qiagenbioinformatics.com/products/ingenuitypathway-analysis) was performed to identify the pathways and biological functions associated to miR-195 downregulated genes.

Statistical analysis

Statistical analysis was performed using GraphPad Prism version 7 (GaphPad Software, Inc.). For data that passed the normality test, paired t-test or one-way ANOVA were used to compare the samples. When data did not pass the normality test, non-parametric test of Friedman Test, followed by uncorrected Dunn’s multiple comparison test, comparing ouser defined sets of data, were used to evaluate significant differences between the different samples. Statistical significance was considered for p<0.05 (* p<0.05, ** p<0.01, *** p<0.001, **** p<0.0001, n.s.: non-significant).

Results

miR-195 is increased in human M2 macrophages

In order to investigate the role of miR-195 on macrophage polarization phenotypes relevant to atherosclerosis, levels of miR-195 were evaluated upon macrophage treatment with different stimuli to induce alterations in macrophage polarization status. Primary human monocytes were successfully isolated and differentiated into macrophages, as shown by optical microscopy observation and flow cytometry (S1A and S1B Fig). More than 90% of the cells were positive for CD14, the macrophage lineage cell marker, indicating high purity of the cell population after isolation (S1B Fig). Next, to induce macrophage polarization into pro-inflammatory M1 or anti-inflammatory M2c phenotypes, cells were treated with 10 ng/mL LPS or 10 ng/mL IL-10, respectively. Macrophage polarization was evaluated by flow cytometry for cell surface expression of M1 marker CD86 and M2c marker CD163. Results from 9 independent donors show, as expected, significantly higher mean fluorescence intensity (MFI) levels of cell surface marker CD86 in LPS-treated macrophages (MFI = 173.9 ± 96.1) compared with IL-10-treated macrophages (MFI = 35.2 ±15.1; p<0.01) or with the non-treated macrophages (MFI = 38.4 ± 21.0; p<0.01) (Fig 1A, left plot; S1C Fig). On the other hand, IL-10-treated cells show significantly higher levels of CD163 (MFI = 158.3 ± 26.2) compared with LPS-treated cells (MFI = 18.9±10.3; p<0.0001) and non-treated control group (MFI = 66.0 ± 30.2; p<0.001) (Fig 1A, right plot; S1C Fig). Moreover, levels of CD163 are significantly reduced in LPS-treated macrophages compared with control (p<0.01) (Fig 1A, right plot). Finally, miR-195 expression levels were evaluated by RT-qPCR in M1 and M2c macrophage phenotypes. Results show that miR-195 levels are significantly higher in IL-10-treated macrophages, when compared with LPS-treated and non-treated control macrophages (p<0.05) (Fig 1B). Therefore, miR-195 is involved in the response of macrophages to M2c stimuli.

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Fig 1. miR-195 is overexpressed in IL-10-treated macrophages.

Human primary monocytes were differentiated into macrophages for 10 days and further polarized for 3 days in presence of LPS or IL-10. A) Surface expression levels of M1 marker CD86 (left) and the M2 marker CD163 (right) in LPS or IL-10 stimulated macrophages, respectively, assessed by flow cytometry (mean fluorescence intensity ± SD, n = 9). B) Relative miR-195 expression levels in non-treated, LPS and IL-10 treated macrophages, determined by RT-qPCR (n = 9); Cq: quantification cycle. Statistical significance: *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001.

https://doi.org/10.1371/journal.pone.0188530.g001

miR-195 reduces TLR2 levels in macrophages

TLR activation is implicated in atherogenesis, as it initiates signaling cascades that culminate in the production of pro-inflammatory cytokines, foam cell formation and activation of adaptive immunity [24–26]. Therefore, we explored the impact of miR-195 in the expression of TLRs known to be involved in human atherosclerotic plaques formation, namely TLR2 and TLR4. To address this, gain-of-function studies were performed in THP-1 macrophages. Transfections of miR-195 mimics were successfully performed, as shown by RT-qPCR results (p<0.0001) (S2 Fig). Results show that TLR2 levels are significantly increased at the cell surface (p<0.05) and intracellularly (p<0.01) of SCR-transfected cells, upon stimulation for M1 phenotype compared with control (Fig 2A and 2B). Importantly, under pro-inflammatory conditions, cells overexpressing miR-195 show a significant reduction in TLR2 at the cell surface and intracellularly compared with M1 macrophages transfected with SCR (p<0.01) (Fig 2A). Similarly, TLR2 intracellular levels are decreased by miR-195-overexpressing cells compared with SCR in a pro-inflammatory environment (p = 0.0552). Levels of TLR4 were also evaluated, and results show a significant decrease of cell surface TLR4 upon M1 stimulation (Fig 2C), indicating that this receptor is internalized after LPS binding (S3 Fig), in agreement with previous work by us and others [27–29]. However, macrophages overexpressing miR-195 do not significantly change their surface or intracellular TLR4 levels compared with SCR-transfected macrophages. (Fig 2C; S3 Fig). In conclusion, miR-195 specifically impacts TLR2 but not TLR4 levels in a pro-inflammatory environment.

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Fig 2. miR-195 impacts TLR2 surface and intracellular levels upon pro-inflammatory stimuli.

A) Flow cytometry analysis of TLR2 surface (n = 5) and B) intracellular (n = 4) levels on THP-1 macrophages after transfection with either SCR or miR-195 and after induction of M1-like macrophages with LPS and IFN-γ. C) TLR4 surface levels on THP-1 macrophages were also evaluated by flow cytometry (n = 5). D) In silico target prediction for hsa-miR-195-5p interaction with TLR2 mRNA; graphic shows normalized levels of luciferase activity of a representative experiment performed in triplicates (mean ± SD); Control: Non-transfected, non-stimulated THP-1 macrophages; Mutated (Mut): vector with a deletion in the predicted binding site. Statistical significance: *p<0.05, **p<0.01.

https://doi.org/10.1371/journal.pone.0188530.g002

Following these results, we hypothesized that miR-195 could influence TLR2 expression by directly targeting its mRNA. To address this hypothesis, we followed an unbiased bioinformatics approach whereby prediction databases for miRNA-mRNA interaction were screened and tested for complementary base pair interaction between miR-195 and TLR2 mRNA. TLR2 was predicted to be a target of miR-195 by RNA22 and miRWalk algorithms (Fig 2D). To confirm the interaction, luciferase assays were performed with and without mutation of the predicted binding site. However, the results obtained show no direct interaction between miR-195 and TLR2 for the predicted binding site (Fig 2D), suggesting TLR2 expression is regulated by miR-195 through an indirect mechanism.

miR-195 inhibits the TLR2 signaling pathway

Knowing that miR-195 influenced TLR2 expression, we further investigated the impact of miR-195 on TLR2 signaling pathway. Total and phosphorylated levels of p54 JNK, p46 JNK and p38 MAPK downstream kinases were analyzed upon pro-inflammatory stimulation. Differentiated THP-1 macrophages were stimulated with the M1 pro-inflammatory stimuli of LPS and IFN-γ at different time points. The peak phosphorylation levels of p54/p46 JNK were found to be around 15 and 30 min and of p38 MAPK around 5 and 15 minutes (S4A Fig). Next, levels of total and phosphorylated proteins were measured in non-transfected, SCR and miR-195 overexpressing cells. Results are illustrated in Fig 3A, and show that phosphorylation levels of p54 and p46 JNK and p38 MAPK are all significantly downregulated in miR-195-overexpressing cells, which indicates an active repression of TLR2 downstream effectors. Specifically, 30 min after M1 stimulation, phospho-p54 and phospho-p38 levels show a reduction of 25% (p<0.05) and 41% (p<0.05), respectively, in miR-195-overexpressing THP-1 macrophages (Fig 3B). Moreover, phospho-p46 was found to be significantly downregulated by 41% (p<0.05) in macrophages transfected with miR-195 compared with the respective SCR controls, after M1 stimulation for 15 and 30 minutes (Fig 3B). Nonetheless, differences in levels of total forms of p54 JNK, p46 JNK and p38 MAPK were not observed (S4B Fig), indicating that these proteins are not miR-195 direct targets. In conclusion, miR-195 impacts inflammatory pathways through downregulation of active phosphorylated forms of p54 JNK, p46 JNK and p38 MAPK proteins downstream of TLR2.

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Fig 3. miR-195 decreases levels of p54 JNK, p46 JNK and p38 MAPK phosphorylated forms.

A) Western blot shows protein levels of p54 JNK, p46 JNK and p38 MAPK phosphorylated forms in THP-1 macrophages after transfection with SCR control or miR-195 and M1 stimulation during 15 or 30 minutes. α-tubulin was used as normalizer. B) Quantification of phosphorylated p54 JNK, phosphorylated p46 JNK and phosphorylated p38 MAPK levels in two independent experiments using FIJI software. Statistical significance: *p<0.05.

https://doi.org/10.1371/journal.pone.0188530.g003

Increased expression of miR-195 in macrophages decreases production of pro-inflammatory cytokines

To assess the functional consequences of miR-195 interference with the TLR2 inflammatory pathway, we evaluated the cytokine secretion profile of macrophages. Supernatants of THP-1 macrophages transfected with miR-195 in pro-inflammatory conditions were collected 24 hours after stimulation, and analyzed by ELISA. Results showed that miR-195-macrophages produced significantly reduced amounts of IL-1β (p<0.0001), IL-6 (p<0.001) and TNF-α (p<0.01) pro-inflammatory cytokines compared with SCR control cells (Fig 4).

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Fig 4. Levels of IL-1β, IL-6 and TNF-α secreted by macrophages after miR-195 overexpression upon pro-inflammatory stimulation.

miR-195 mimic was transfected into THP-1 macrophages before stimulation with LPS and IFN-γ. After 24h, cell culture medium was collected and levels of IL-1β, IL-6, and TNF-α were determined by ELISA. Graph show results relative to non-transfected, M1-stimulated THP-1 macrophages. Three independent experiments were performed in triplicate. Statistical significance: **p<0.01, ***p<0.001, ****p<0.0001.

https://doi.org/10.1371/journal.pone.0188530.g004

miR-195 expression impacts inflammatory and atherosclerosis associated pathways

To further identify relevant genes and pathways targeted by miR-195, the expression profile of THP-1 macrophages overexpressing miR-195 was compared with SCR-transfected cells. Bioinformatics analysis of the expression levels of the 92 genes significantly downregulated (fold change<-1.5, P-value<0.05) by miR-195 in THP-1 macrophages revealed that atherosclerosis signaling (P-value = 0.0147) is one of the top canonical pathways, as a result of F3, S100A8 and ALOX5 downregulation (fold change: -1.93, -6.87 and -1.65, respectively), three genes known to be involved in important mechanisms that contribute to disease pathophysiology (Fig 5A) [30,31]. Importantly, RT-qPCR results confirmed that F3 and S100A8 were significantly downregulated in macrophages overexpressing miR-195 compared with SCR-transfected macrophages (p<0.05). Regarding ALOX5, although not statistically significant, its expression levels tend to be downregulated by miR-195 as well (Fig 5B).

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Fig 5. miR-195 downregulated genes are associated with inflammatory and cell recruitment mechanisms.

A) Volcano plot of statistical significance against fold change representing most deregulated genes between miR-195 and SCR-transfected THP-1 macrophages. Green dots represent downregulated genes (fold change <-1.5); red dots represent upregulated genes (fold change > 1.5). F3, S100A8 and ALOX5 involved in atherosclerosis signaling appear highlighted. B) Measurement of F3, S100A8 and ALOX5 expression levels by RT-qPCR (n = 4). C) List of the 10 most prominent biological functions of genes downregulated by miR-195, determined by IPA. Statistical significance: *p<0.05.

https://doi.org/10.1371/journal.pone.0188530.g005

Moreover, important processes in atherosclerosis such as inflammatory response, cell-to-cell signaling and interaction, and immune cell trafficking are comprised among the most prominent biologic functions predicted to be affected by the most downregulated mRNAs in THP-1 macrophages overexpressing miR-195 (Fig 5C).

Expression of miR-195 in macrophages inhibits smooth muscle cells recruitment and migration profile

In advanced stages of atherosclerosis, pro-inflammatory macrophages promote the recruitment of VSMC to the lesioned area, which also become lipid loaded foam cells, producing pro-inflammatory cytokines [32]. Thus, the impact of miR-195 overexpression in THP-1 macrophages, under pro-inflammatory stimuli, on HUASMC recruitment was evaluated using an in vitro recruitment model.

HUASMC were grown in a collagen coated surface to better mimic the in vivo growth environment of these cells (Fig 6A). We further characterized HUASMC cells by flow cytometry to determine levels of HUASMC surface markers [33]. CD90 was used as positive marker, while CD10 and CD34 (endothelial marker) were used as negative markers. Results clearly show high levels of CD90 (99.9% CD90⁺) and no expression of CD10 or CD34, in HUASMCs (S5A Fig). Furthermore, inverted fluorescence microscopy results show, as expected, positive expression of HUASMC markers, α-SMA and vimentin, two important SMC structural proteins (S5b Fig).

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Fig 6. miR-195 reduces the capability of macrophages to recruit human umbilical artery smooth muscle cells and impair their migratory profile.

A) HUASMC after 5 day culture in a collagen type I pre-coated flask (magnification of 50X). Scale bar 100 μm. B) Schematic representation of the transwell system set up for the migration assay. HUASMC were allowed to migrate for 24h over differently stimulated THP-1 macrophages. C) Representative inverted fluorescence microscope images of recruited HUASMC nuclei upon co-culture with macrophages subjected to different stimulation conditions. Scale bar 100 μm. D) HUASMC recruitment in different conditions. Column 1—non-stimulated THP-1 macrophages; Column 2 –No THP-1 macrophages, only M1 stimuli (LPS + IFN-γ); Column 3—M1 stimulated THP-1 macrophages; Column 4—M1 stimulated THP-1 macrophages transfected with SCR; and Column 5—M1 stimulated THP-1 macrophages transfected with miR-195. Two independent experiments were performed in triplicates (Mean ± SD). E) HUASMC migration profile over 36 hours in culture with conditioned media from differently stimulated THP-1 macrophages (Mean ± SEM, n = 4). Timepoint 0h was used as reference to calculate the percentage of gap closure. Statistical significance: *p<0.05, **p<0.01.

https://doi.org/10.1371/journal.pone.0188530.g006

HUASMC were seeded in transwell inserts (top compartment) and co-cultured over differently stimulated THP-1 macrophages (bottom compartment) (Fig 6B). Results show that miR-195-THP-1 macrophages in pro-inflammatory conditions have significantly less capability to recruit HUASMC compared with non-transfected (p<0.01) and SCR-transfected pro-inflammatory THP-1 macrophages (p<0.01) (Fig 6C and 6D). Specifically, high expression levels of miR-195 in THP-1 macrophages reduce cell capability to recruit HUASMC by 40% (versus M1 non-transfected) and 50% (versus M1 SCR-macrophages) (Fig 6D). Importantly, miR-195 overexpression in macrophages under pro-inflammatory conditions is able to decrease HUASMC recruitment to similar levels of macrophages in a non-pro-inflammatory environment (Fig 6D).

To further confirm the impact of miR-195 in macrophages paracrine effect, we addressed HUASMC migration in an in vitro wound healing assay. Interestingly, HUASMC cultured in the presence of conditioned media from miR-195-M1-macrophages migrated significantly less than those cultured with conditioned media from M1 macrophages (p<0.01, 36 hours) or SCR-M1-macrophages (p<0.05, 36 hours) (Fig 6E).

Discussion

miR-195 has been shown to control major cellular processes, including cell cycle progression, proliferation, migration and invasion, and cell differentiation [34,35]. In the cardiovascular system, miR-195 regulates VSMC proliferation, migration and cytokine secretion profile, and prevents neointimal formation [19]. Importantly, macrophages and VSMCs are major players in the pathogenesis of atherosclerotic vascular diseases. Activated pro-inflammatory macrophages promote pro-atherogenic functions of VSMCs [11]. For this reason, we hypothesized and evaluated if the anti-atherogenic miR-195 could act through macrophages by inhibiting their pro-inflammatory action and conditioning the communication with VSMCs.

Herein, we describe for the first time that miR-195 levels are increased in IL-10-treated human primary macrophages and further investigated miR-195 as a potential tool to inhibit mechanisms that promote M1 macrophage polarization. Macrophages can be polarized towards different phenotypes, depending on the microenvironment they encounter, and miRNA expression profiles have been explored to understand in which extent alterations in miRNA levels influence the immune functions of polarized macrophages [36]. For instance, miR-125a-5p inhibits the classical macrophage activation and decreases secretion of some inflammatory cytokines (IL-6 and TNF-α) [16,37], and miR-146a inhibits the activation of TLR4-dependent signaling pathways [16].

TLRs recognize distinct damage-associated molecular patterns and play a critical role in inflammation and immune cell regulation [38]. Activation of TLR-dependent signaling pathways promotes the consecutive phosphorylation of several protein kinases, leading to activation of MAP kinases (JNK, p38 MAPK and ERK) and activating the NF-κB transcription factor complex. Subsequently, transcription factors in the nucleus downstream the TLR signaling cascade are activated and induce the production of pro-inflammatory cytokines, such as IL-1β, IL-6, IL-8 and TNF-α [39,40]. In this study, we investigated how miR-195 impairs the activation of these pathways, analyzing TLR receptors and downstream molecules. TLR2 is known to be overexpressed in macrophages after LPS recognition and in pro-inflammatory conditions [41,42], acting as a key player in inflammation and atherosclerosis progression [24,43]. Furthermore, the regulation of its expression through miR-19 and miR-105 has been described by other authors [44,45]. Our results show, for the first time, that the expression of TLR2 is regulated by miR-195, as its levels are significantly reduced in miR-195-transfected THP-1 macrophages polarized towards M1 phenotype. Although a TLR2 mRNA::miRNA-195 direct interaction for the predicted binding site was not found, we do not exclude the hypothesis of an interaction in other region of the TLR2 mRNA. Moreover, the effect could be indirect through miR-195 binding to TLR2 regulators and transcription factors.

Although JNK isoforms (p54, p46) and p38 MAPK total protein levels were not altered, the activated/phosphorylated p54 JNK, p46 JNK and p38 MAPK forms were significantly decreased by miR-195. Remarkably, levels of IL-1β, IL-6 and TNF-α were reduced, which indicates that miR-195 efficiently inhibits the pro-inflammatory TLR2 signalling pathway, specifically p38 MAPK and JNK pathways, reinforcing the hypothesis that this specific miRNA acts as an anti-inflammatory regulator in macrophages. Moreover, expression of other genes associated with inflammatory pathways was found deregulated. Therefore, miR-195 can be used as a tool to counterbalance and reverse the effect of the induced M1 pro-inflammatory profile in macrophages.

In advanced states of atherosclerotic lesions, macrophages secrete high levels of pro-inflammatory cytokines and chemokines, which perpetuate the inflammatory process and promote migration of VSMC into the intima [46]. Sequentially, VSMC proliferate and secrete pro-fibrotic mediators, resulting in the fibrous cap formation. At some stages, this fibroproliferative response is associated with a protective physiologic response to injury, designed to wall off the injurious agent, and then to assist in resolution of the injury [47]. However, atherosclerotic VSMC are described to switch to a macrophage-like phenotype characterized by lipid over-ingestion, which leads to VSMC apoptosis and, consequently, to a necrotic core formation and weakening of the fibrous cap [32,47,48]. Thus, it is of crucial importance to limit both VSMC migration and the phenotypic switch.

To mimic in vitro the VSMC migration profile upon interaction with macrophages and the crosstalk between macrophages and VSMC in the atherogenic environment, we performed a transwell (using porous PET membranes) and a wound healing assay [49]. Interestingly, both assays showed that macrophages overexpressing miR-195 drastically lose their ability to promote VSMC recruitment in a pro-inflammatory environment. Although further experiments are needed to understand which mediators are changed by miR-195 and how do they affect VSMC-macrophages crosstalk, this is the first evidence that modulation of macrophage phenotype through miR-195 has a paracrine effect on VSMC.

In conclusion, miR-195 impacts macrophage polarization status, favoring an anti-inflammatory phenotype even in pro-inflammatory conditions, which leads to a reduction in the recruitment of VSMC. This suggests miR-195 as a potential tool to prevent and potentially treat atherosclerotic lesions and other cardiovascular diseases.

Supporting information

S1 Fig. Human primary monocyte culture, differentiation into macrophages, and polarization.

A) Brightfield microscopy image of macrophages differentiated from isolated blood monocytes at day 10 of culture (magnification of 200X). Scale bar 50μm. B) Flow cytometry analysis of CD14 marker in macrophages (right panel). Cells labeled with matching isotype were used as negative control (left panel). C) Representative image of flow cytometry results for CD86 and CD163 markers in macrophages stimulated with LPS, IL-10 or control (non-stimulated cells).

https://doi.org/10.1371/journal.pone.0188530.s001

(TIF)

S2 Fig. Transfection efficiency of miR-195 mimics in THP-1 macrophages.

Transfection efficiency was evaluated by RT-qPCR and compared with SCR control (n = 3). Statistical significance: ****p<0.0001.

https://doi.org/10.1371/journal.pone.0188530.s002

(TIF)

S3 Fig. Intracellular TLR4 levels in THP-1 macrophages.

Intracellular TLR4 levels were measured by flow cytometry (n = 3). Statistical significance: *p<0.05.

https://doi.org/10.1371/journal.pone.0188530.s003

(TIF)

S4 Fig. Quantification of protein p54 JNK, p46 JNK and p38 MAPK levels.

A) Representative western blot showing protein phosphorylated levels following LPS and IFN-γ stimulation at different time points (0, 5, 15, 30, 60, 120 minutes). B) Total protein expression of JNK isoforms and p38 MAPK was evaluated by western blot and levels were normalized to α-tubulin.

https://doi.org/10.1371/journal.pone.0188530.s004

(TIF)

S5 Fig. HUASMC characterization by flow cytometry and inverted fluorescence microscopy.

A) Characterization of HUASMC by flow cytometry. Histograms represent flow cytometry results for CD10, CD34 (negative markers) and CD90 (positive marker). B) Evaluation of HUASMC markers by inverted fluorescence microscopy. Cells show positive staining for α-SMA (on top) and vimentin (on bottom) markers. Microscope images were obtained using a 40x oil objective. Scale bar 20 μm.

https://doi.org/10.1371/journal.pone.0188530.s005

(TIF)

S1 Table. Primers used for RT-qPCR.

https://doi.org/10.1371/journal.pone.0188530.s006

(DOCX)

S2 Table. Sequence of mature human miR-195-5p according to miRBase, primers used to generate PGL3-constructs for luciferase assays and to generate deletions in the predicted miRNA-binding site.

Restriction site for endonuclease is underlined.

https://doi.org/10.1371/journal.pone.0188530.s007

(DOCX)

Acknowledgments

We thank Centro Hospitalar Saão Joaão (Porto, Portugal) for donating buffy coats and Dr. Elisa Cairrão (Universidade da Beira Interior–Covilhã, Portugal) for donating HUASMC. MIA would also like to thank to L’Oreal-UNESCO-FCT for the Medal of Honor for Women in Science, and JPB would like to thank to BiotechHealth PhD Programme.

References

1. Willerson JT, Ridker PM. Inflammation as a cardiovascular risk factor. Circulation. 2004;109(21 Suppl 1):II2–I10. pmid:15173056
- View Article
- PubMed/NCBI
- Google Scholar
2. Libby P. Inflammation in atherosclerosis. Arterioscler Thromb Vasc Biol. 2012;32(9):2045–51. pmid:22895665
- View Article
- PubMed/NCBI
- Google Scholar
3. Libby P, Ridker PM, Hansson GK. Progress and challenges in translating the biology of atherosclerosis. Nature. 2011;473(7347):317–25. pmid:21593864
- View Article
- PubMed/NCBI
- Google Scholar
4. Tabas I, Bornfeldt KE. Macrophage phenotype and function in different stages of atherosclerosis. Circ Res. 2016;118(4):653–67. pmid:26892964
- View Article
- PubMed/NCBI
- Google Scholar
5. Randolph GJ. Mechanisms that regulate macrophage burden in atherosclerosis. Circ Res. 2014;114(11):1757–71. pmid:24855200
- View Article
- PubMed/NCBI
- Google Scholar
6. Chinetti-Gbaguidi G, Colin S, Staels B. Macrophage subsets in atherosclerosis. Nat Rev Cardiol. 2014;12(1):10–7. pmid:25367649
- View Article
- PubMed/NCBI
- Google Scholar
7. Colin S, Chinetti-Gbaguidi G, Staels B. Macrophage phenotypes in atherosclerosis. ImmunolRev. 2014;262(1):153–66.
- View Article
- Google Scholar
8. Stöger JL, Gijbels MJJ, van der Velden S, Manca M, van der Loos CM, Biessen E a. L, et al. Distribution of macrophage polarization markers in human atherosclerosis. Atherosclerosis. 2012;225(2):461–8. pmid:23078881
- View Article
- PubMed/NCBI
- Google Scholar
9. Leitinger N, Schulman IG. Phenotypic polarization of macrophages in atherosclerosis. Arterioscler Thromb Vasc Biol. 2013;33(6):1120–6. pmid:23640492
- View Article
- PubMed/NCBI
- Google Scholar
10. Moore KJ, Sheedy FJ, Fisher E a. Macrophages in atherosclerosis: a dynamic balance. Nat Rev Immunol. 2013;13(10):709–21. pmid:23995626
- View Article
- PubMed/NCBI
- Google Scholar
11. Koga J, Aikawa M. Crosstalk between macrophages and smooth muscle cells in atherosclerotic vascular diseases. Vascul Pharmacol. 2012;57(1):24–8. pmid:22402259
- View Article
- PubMed/NCBI
- Google Scholar
12. Almeida MI, Reis RM, Calin GA. MicroRNA history: Discovery, recent applications, and next frontiers. Mutat Res. 2011;717(1–2):1–8. pmid:21458467
- View Article
- PubMed/NCBI
- Google Scholar
13. Thulin P, Wei T, Werngren O, Cheung L, Fisher RM, Grandér D, et al. MicroRNA-9 regulates the expression of peroxisome proliferator-activated receptor δ in human monocytes during the inflammatory response. Int J Mol Med. 2013;31(5):1003–10. pmid:23525285
- View Article
- PubMed/NCBI
- Google Scholar
14. Ying H, Kang Y, Zhang H, Zhao D. MiR-127 modulates macrophage polarization and promotes lung inflammation and injury by activating the JNK pathway. J Immunol. 2015;194(3):1239–51. pmid:25520401
- View Article
- PubMed/NCBI
- Google Scholar
15. O’Connell RM, Taganov KD, Boldin MP, Cheng G, Baltimore D. MicroRNA-155 is induced during the macrophage inflammatory response. Proc Natl Acad Sci U S A. 2007;104(5):1604–9. pmid:17242365
- View Article
- PubMed/NCBI
- Google Scholar
16. Banerjee S, Cui H, Xie N, Tan Z, Yang S, Icyuz M, et al. MiR-125a-5p regulates differential activation of macrophages and inflammation. J Biol Chem. 2013;288(49):35428–36. pmid:24151079
- View Article
- PubMed/NCBI
- Google Scholar
17. Taganov KD, Boldin MP, Chang K-J, Baltimore D. NF-kappaB-dependent induction of microRNA miR-146, an inhibitor targeted to signaling proteins of innate immune responses. Proc Natl Acad Sci U S A. 2006;103(33):12481–6. pmid:16885212
- View Article
- PubMed/NCBI
- Google Scholar
18. Banerjee S, Xie N, Cui H, Tan Z, Yang S, Icyuz M, et al. microRNA let-7c regulates macrophage polarization. J Immunol. 2012;29(6):997–1003.
- View Article
- Google Scholar
19. Wang Y-S, Wang H-YJ, Liao Y-C, Tsai P-C, Chen K-C, Cheng H-Y, et al. MicroRNA-195 regulates vascular smooth muscle cell phenotypes and prevents neointimal formation. Cardiovasc Res. 2012;95(4):517–26. pmid:22802111
- View Article
- PubMed/NCBI
- Google Scholar
20. Oliveira MI, Santos SG, Oliveira MJ, Torres AL, Barbosa MA. Chitosan drives anti-inflammatory macrophage polarisation and pro-inflammatory dendritic cell stimulation. Eur Cells Mater. 2012;24:136–53.
- View Article
- Google Scholar
21. Tsuchiya S, Yamabe M, Yamaguchi Y, Kobayashi Y, Konno T, Tada K. Establishment and characterization of a human acute monocytic leukemia cell line (THP-1). Int J Cancer. 1980;26(2):171–6. pmid:6970727
- View Article
- PubMed/NCBI
- Google Scholar
22. Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, et al. The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments. Clin Chem. 2009;55(4):611–22. pmid:19246619
- View Article
- PubMed/NCBI
- Google Scholar
23. Almeida MI, Silva AM, Vasconcelos DM, Almeida CR, Caires H, Pinto MT, et al. miR-195 in human primary mesenchymal stromal/stem cells regulates proliferation, osteogenesis and paracrine effect on angiogenesis. Oncotarget. 2016;7(1):7–22. pmid:26683705
- View Article
- PubMed/NCBI
- Google Scholar
24. Chávez-Sánchez L, Garza-Reyes MG, Espinosa-Luna JE, Chávez-Rueda K, Legorreta-Haquet MV, Blanco-Favela F. The role of TLR2, TLR4 and CD36 in macrophage activation and foam cell formation in response to oxLDL in humans. Hum Immunol. 2014;75(4):322–9. pmid:24486576
- View Article
- PubMed/NCBI
- Google Scholar
25. Seneviratne AN, Sivagurunathan B, Monaco C. Toll-like receptors and macrophage activation in atherosclerosis. Clin Chim Acta. 2012;413(1–2):3–14. pmid:21884686
- View Article
- PubMed/NCBI
- Google Scholar
26. Cole JE, Kassiteridi C, Monaco C. Toll-like receptors in atherosclerosis: A “Pandora”s box’ of advances and controversies. Trends Pharmacol Sci. 2013;34(11):629–36. pmid:24139612
- View Article
- PubMed/NCBI
- Google Scholar
27. Oliveira MI, Pinto ML, Gonçalves RM, Martins MCL, Santos SG, Barbosa M a. Adsorbed Fibrinogen stimulates TLR-4 on monocytes and induces BMP-2 expression. Acta Biomater. 2017;49:296–305. pmid:27856281
- View Article
- PubMed/NCBI
- Google Scholar
28. Bosisio D, Polentarutti N, Sironi M, Bernasconi S, Miyake K, Webb GR, et al. Stimulation of toll-like receptor 4 expression in human mononuclear phagocytes by interferon-gamma: a molecular basis for priming and synergism with bacterial lipopolysaccharide. Blood. 2002;99(9):3427–31. pmid:11964313
- View Article
- PubMed/NCBI
- Google Scholar
29. Zanoni I, Ostuni R, Marek LR, Barresi S, Barbalat R, Barton GM, et al. CD14 controls the LPS-induced endocytosis of Toll-like Receptor 4. Cell. 2011;147(4):868–80. pmid:22078883
- View Article
- PubMed/NCBI
- Google Scholar
30. Burdon KP, Rudock ME, Lehtinen AB, Langefeld CD, Bowden DW, Register TC, et al. Human lipoxygenase pathway gene variation and association with markers of subclinical atherosclerosis in the diabetes heart study. Mediators Inflamm. 2010;2010:Article ID 170153, 9 pages.
- View Article
- Google Scholar
31. Averill MM, Kerkhoff C, Bornfeldt KE. S100A8 and S100A9 in cardiovascular biology and disease. Arterioscler Thromb Vasc Biol. 2012;32(2):223–9. pmid:22095980
- View Article
- PubMed/NCBI
- Google Scholar
32. Gomez D, Owens GK. Smooth muscle cell phenotypic switching in atherosclerosis. Cardiovasc Res. 2012;95(2):156–64. pmid:22406749
- View Article
- PubMed/NCBI
- Google Scholar
33. Mazza G, Robmanith E, Lang-Olip I, Pfeiffer D. Marker profile for the evaluation of human umbilical artery smooth muscle cell quality obtained by different isolation and culture methods. Cytotechnology. 2014;68(4):701–11. pmid:25535117
- View Article
- PubMed/NCBI
- Google Scholar
34. Wang K, Sun Y, Tao W, Fei X, Chang C. Androgen receptor (AR) promotes clear cell renal cell carcinoma (ccRCC) migration and invasion via altering the circHIAT1/miR-195-5p/29a-3p/29c-3p/CDC42 signals. Cancer Lett. 2017;394:1–12. pmid:28089832
- View Article
- PubMed/NCBI
- Google Scholar
35. Qu Q, Chu X, Wang P. MicroRNA-195-5p suppresses osteosarcoma cell proliferation and invasion by suppressing naked cuticle homolog 1. Cell Biol Int. 2017;41(3):287–95. pmid:28032380
- View Article
- PubMed/NCBI
- Google Scholar
36. Cobos Jiménez V, Bradley EJ, Willemsen AM, van Kampen AHC, Baas F, Kootstra N a. Next-generation sequencing of microRNAs uncovers expression signatures in polarized macrophages. Physiol Genomics. 2014;46(3):91–103. pmid:24326348
- View Article
- PubMed/NCBI
- Google Scholar
37. Chen T, Huang Z, Wang L, Wang Y, Wu F, Meng S, et al. MicroRNA-125a-5p partly regulates the inflammatory response, lipid uptake, and ORP9 expression in oxLDL-stimulated monocyte/macrophages. Cardiovasc Res. 2009;83(1):131–9. pmid:19377067
- View Article
- PubMed/NCBI
- Google Scholar
38. O’Neill LA, Golenbock D, Bowie AG. The history of Toll-like receptors—redefining innate immunity. Nat Rev Immunol. 2013;13(6):453–60. pmid:23681101
- View Article
- PubMed/NCBI
- Google Scholar
39. Shoenfelt J, Mitkus RJ, Zeisler R, Spatz RO, Powell J, Fenton MJ, et al. Involvement of TLR2 and TLR4 in inflammatory immune responses induced by fine and coarse ambient air particulate matter. J Leukoc Biol. 2009;86(2):303–12. pmid:19406832
- View Article
- PubMed/NCBI
- Google Scholar
40. Wang Q, Dziarski R, Kirschning CJ. Micrococci and Peptidoglycan Activate TLR2 -> MyD88 -> IRAK -> TRAF -> NIK -> IKK -> NF-kB Signal Transduction Pathway That Induces Transcription of Transcription of Interleukin-8. Infect Immun. 2001;69(4):2–9.
- View Article
- Google Scholar
41. Matsuguchi T, Musikacharoen T, Ogawa T, Yoshikai Y. Gene expressions of Toll-like receptor 2, but not Toll-like receptor 4, is induced by LPS and inflammatory cytokines in mouse macrophages. J Immunol. 2000;165(10):5767–72. pmid:11067935
- View Article
- PubMed/NCBI
- Google Scholar
42. Liu Y, Wang Y, Yamakuchi M, Nagata E, Kanmura Y, Kitajima I. Upregulation of Toll-Like Receptor 2 Gene Expression in Macrophage Response to Peptidoglycan and High Concentration of Lipopolysaccharide Is Involved in NF- κ B Activation. Infect Immun. 2001;69(5):2788–96. pmid:11292690
- View Article
- PubMed/NCBI
- Google Scholar
43. Mullick AE, Tobias PS, Curtiss LK. Modulation of atherosclerosis in mice by Toll-like receptor 2. J Clin Invest. 2005;115(11):3149–56. pmid:16211093
- View Article
- PubMed/NCBI
- Google Scholar
44. Philippe L, Alsaleh G, Suffert G, Meyer a, Georgel P, Sibilia J, et al. TLR2 expression is regulated by microRNA miR-19 in rheumatoid fibroblast-like synoviocytes. J Immunol. 2012;188(1):454–61. pmid:22105995
- View Article
- PubMed/NCBI
- Google Scholar
45. Benakanakere MR, Li Q, Eskan M a., Singh A V., Zhao J, Galicia JC, et al. Modulation of TLR2 protein expression by miR-105 in human oral keratinocytes. J Biol Chem. 2009;284(34):23107–15. pmid:19509287
- View Article
- PubMed/NCBI
- Google Scholar
46. Fernández-Velasco M, González-Ramos S, Boscá L. Involvement of monocytes/macrophages as key factors in the development and progression of cardiovascular diseases. Biochem J. 2014;458(2):187–93. pmid:24524191
- View Article
- PubMed/NCBI
- Google Scholar
47. Frink RJ. The smooth muscle cell. The pivot in atherosclerosis. In: Inflammatory atherosclerosis: characteristics of the injurious agent. Heart Research Foundation of Sacramento; 2002. p. 1–6.
48. Maiolino G, Rossitto G, Caielli P, Bisogni V, Rossi GP, Calo L a. The role of oxidized low-density lipoproteins in atherosclerosis: the myths and the facts. Mediators Inflamm. 2013;2013:Article ID 714653, 13 pages.
- View Article
- Google Scholar
49. Islam K, Timraz SBH, Nasser R, Gater DL, Pearson YE, Christoforou N, et al. Co-culture Methods Used to Model Atherosclerosis In Vitro Using Endothelial, Smooth Muscle and Monocyte Cells. SM J Biomed Eng. 2016;2(1):1008.
- View Article
- Google Scholar

[ref1] 1. Willerson JT, Ridker PM. Inflammation as a cardiovascular risk factor. Circulation. 2004;109(21 Suppl 1):II2–I10. pmid:15173056
View Article
PubMed/NCBI
Google Scholar

[2] View Article

[3] PubMed/NCBI

[4] Google Scholar

[ref2] 2. Libby P. Inflammation in atherosclerosis. Arterioscler Thromb Vasc Biol. 2012;32(9):2045–51. pmid:22895665
View Article
PubMed/NCBI
Google Scholar

[6] View Article

[7] PubMed/NCBI

[8] Google Scholar

[ref3] 3. Libby P, Ridker PM, Hansson GK. Progress and challenges in translating the biology of atherosclerosis. Nature. 2011;473(7347):317–25. pmid:21593864
View Article
PubMed/NCBI
Google Scholar

[10] View Article

[11] PubMed/NCBI

[12] Google Scholar

[ref4] 4. Tabas I, Bornfeldt KE. Macrophage phenotype and function in different stages of atherosclerosis. Circ Res. 2016;118(4):653–67. pmid:26892964
View Article
PubMed/NCBI
Google Scholar

[14] View Article

[15] PubMed/NCBI

[16] Google Scholar

[ref5] 5. Randolph GJ. Mechanisms that regulate macrophage burden in atherosclerosis. Circ Res. 2014;114(11):1757–71. pmid:24855200
View Article
PubMed/NCBI
Google Scholar

[18] View Article

[19] PubMed/NCBI

[20] Google Scholar

[ref6] 6. Chinetti-Gbaguidi G, Colin S, Staels B. Macrophage subsets in atherosclerosis. Nat Rev Cardiol. 2014;12(1):10–7. pmid:25367649
View Article
PubMed/NCBI
Google Scholar

[22] View Article

[23] PubMed/NCBI

[24] Google Scholar

[ref7] 7. Colin S, Chinetti-Gbaguidi G, Staels B. Macrophage phenotypes in atherosclerosis. ImmunolRev. 2014;262(1):153–66.
View Article
Google Scholar

[26] View Article

[27] Google Scholar

[ref8] 8. Stöger JL, Gijbels MJJ, van der Velden S, Manca M, van der Loos CM, Biessen E a. L, et al. Distribution of macrophage polarization markers in human atherosclerosis. Atherosclerosis. 2012;225(2):461–8. pmid:23078881
View Article
PubMed/NCBI
Google Scholar

[29] View Article

[30] PubMed/NCBI

[31] Google Scholar

[ref9] 9. Leitinger N, Schulman IG. Phenotypic polarization of macrophages in atherosclerosis. Arterioscler Thromb Vasc Biol. 2013;33(6):1120–6. pmid:23640492
View Article
PubMed/NCBI
Google Scholar

[33] View Article

[34] PubMed/NCBI

[35] Google Scholar

[ref10] 10. Moore KJ, Sheedy FJ, Fisher E a. Macrophages in atherosclerosis: a dynamic balance. Nat Rev Immunol. 2013;13(10):709–21. pmid:23995626
View Article
PubMed/NCBI
Google Scholar

[37] View Article

[38] PubMed/NCBI

[39] Google Scholar

[ref11] 11. Koga J, Aikawa M. Crosstalk between macrophages and smooth muscle cells in atherosclerotic vascular diseases. Vascul Pharmacol. 2012;57(1):24–8. pmid:22402259
View Article
PubMed/NCBI
Google Scholar

[41] View Article

[42] PubMed/NCBI

[43] Google Scholar

[ref12] 12. Almeida MI, Reis RM, Calin GA. MicroRNA history: Discovery, recent applications, and next frontiers. Mutat Res. 2011;717(1–2):1–8. pmid:21458467
View Article
PubMed/NCBI
Google Scholar

[45] View Article

[46] PubMed/NCBI

[47] Google Scholar

[ref13] 13. Thulin P, Wei T, Werngren O, Cheung L, Fisher RM, Grandér D, et al. MicroRNA-9 regulates the expression of peroxisome proliferator-activated receptor δ in human monocytes during the inflammatory response. Int J Mol Med. 2013;31(5):1003–10. pmid:23525285
View Article
PubMed/NCBI
Google Scholar

[49] View Article

[50] PubMed/NCBI

[51] Google Scholar

[ref14] 14. Ying H, Kang Y, Zhang H, Zhao D. MiR-127 modulates macrophage polarization and promotes lung inflammation and injury by activating the JNK pathway. J Immunol. 2015;194(3):1239–51. pmid:25520401
View Article
PubMed/NCBI
Google Scholar

[53] View Article

[54] PubMed/NCBI

[55] Google Scholar

[ref15] 15. O’Connell RM, Taganov KD, Boldin MP, Cheng G, Baltimore D. MicroRNA-155 is induced during the macrophage inflammatory response. Proc Natl Acad Sci U S A. 2007;104(5):1604–9. pmid:17242365
View Article
PubMed/NCBI
Google Scholar

[57] View Article

[58] PubMed/NCBI

[59] Google Scholar

[ref16] 16. Banerjee S, Cui H, Xie N, Tan Z, Yang S, Icyuz M, et al. MiR-125a-5p regulates differential activation of macrophages and inflammation. J Biol Chem. 2013;288(49):35428–36. pmid:24151079
View Article
PubMed/NCBI
Google Scholar

[61] View Article

[62] PubMed/NCBI

[63] Google Scholar

[ref17] 17. Taganov KD, Boldin MP, Chang K-J, Baltimore D. NF-kappaB-dependent induction of microRNA miR-146, an inhibitor targeted to signaling proteins of innate immune responses. Proc Natl Acad Sci U S A. 2006;103(33):12481–6. pmid:16885212
View Article
PubMed/NCBI
Google Scholar

[65] View Article

[66] PubMed/NCBI

[67] Google Scholar

[ref18] 18. Banerjee S, Xie N, Cui H, Tan Z, Yang S, Icyuz M, et al. microRNA let-7c regulates macrophage polarization. J Immunol. 2012;29(6):997–1003.
View Article
Google Scholar

[69] View Article

[70] Google Scholar

[ref19] 19. Wang Y-S, Wang H-YJ, Liao Y-C, Tsai P-C, Chen K-C, Cheng H-Y, et al. MicroRNA-195 regulates vascular smooth muscle cell phenotypes and prevents neointimal formation. Cardiovasc Res. 2012;95(4):517–26. pmid:22802111
View Article
PubMed/NCBI
Google Scholar

[72] View Article

[73] PubMed/NCBI

[74] Google Scholar

[ref20] 20. Oliveira MI, Santos SG, Oliveira MJ, Torres AL, Barbosa MA. Chitosan drives anti-inflammatory macrophage polarisation and pro-inflammatory dendritic cell stimulation. Eur Cells Mater. 2012;24:136–53.
View Article
Google Scholar

[76] View Article

[77] Google Scholar

[ref21] 21. Tsuchiya S, Yamabe M, Yamaguchi Y, Kobayashi Y, Konno T, Tada K. Establishment and characterization of a human acute monocytic leukemia cell line (THP-1). Int J Cancer. 1980;26(2):171–6. pmid:6970727
View Article
PubMed/NCBI
Google Scholar

[79] View Article

[80] PubMed/NCBI

[81] Google Scholar

[ref22] 22. Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, et al. The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments. Clin Chem. 2009;55(4):611–22. pmid:19246619
View Article
PubMed/NCBI
Google Scholar

[83] View Article

[84] PubMed/NCBI

[85] Google Scholar

[ref23] 23. Almeida MI, Silva AM, Vasconcelos DM, Almeida CR, Caires H, Pinto MT, et al. miR-195 in human primary mesenchymal stromal/stem cells regulates proliferation, osteogenesis and paracrine effect on angiogenesis. Oncotarget. 2016;7(1):7–22. pmid:26683705
View Article
PubMed/NCBI
Google Scholar

[87] View Article

[88] PubMed/NCBI

[89] Google Scholar

[ref24] 24. Chávez-Sánchez L, Garza-Reyes MG, Espinosa-Luna JE, Chávez-Rueda K, Legorreta-Haquet MV, Blanco-Favela F. The role of TLR2, TLR4 and CD36 in macrophage activation and foam cell formation in response to oxLDL in humans. Hum Immunol. 2014;75(4):322–9. pmid:24486576
View Article
PubMed/NCBI
Google Scholar

[91] View Article

[92] PubMed/NCBI

[93] Google Scholar

[ref25] 25. Seneviratne AN, Sivagurunathan B, Monaco C. Toll-like receptors and macrophage activation in atherosclerosis. Clin Chim Acta. 2012;413(1–2):3–14. pmid:21884686
View Article
PubMed/NCBI
Google Scholar

[95] View Article

[96] PubMed/NCBI

[97] Google Scholar

[ref26] 26. Cole JE, Kassiteridi C, Monaco C. Toll-like receptors in atherosclerosis: A “Pandora”s box’ of advances and controversies. Trends Pharmacol Sci. 2013;34(11):629–36. pmid:24139612
View Article
PubMed/NCBI
Google Scholar

[99] View Article

[100] PubMed/NCBI

[101] Google Scholar

[ref27] 27. Oliveira MI, Pinto ML, Gonçalves RM, Martins MCL, Santos SG, Barbosa M a. Adsorbed Fibrinogen stimulates TLR-4 on monocytes and induces BMP-2 expression. Acta Biomater. 2017;49:296–305. pmid:27856281
View Article
PubMed/NCBI
Google Scholar

[103] View Article

[104] PubMed/NCBI

[105] Google Scholar

[ref28] 28. Bosisio D, Polentarutti N, Sironi M, Bernasconi S, Miyake K, Webb GR, et al. Stimulation of toll-like receptor 4 expression in human mononuclear phagocytes by interferon-gamma: a molecular basis for priming and synergism with bacterial lipopolysaccharide. Blood. 2002;99(9):3427–31. pmid:11964313
View Article
PubMed/NCBI
Google Scholar

[107] View Article

[108] PubMed/NCBI

[109] Google Scholar

[ref29] 29. Zanoni I, Ostuni R, Marek LR, Barresi S, Barbalat R, Barton GM, et al. CD14 controls the LPS-induced endocytosis of Toll-like Receptor 4. Cell. 2011;147(4):868–80. pmid:22078883
View Article
PubMed/NCBI
Google Scholar

[111] View Article

[112] PubMed/NCBI

[113] Google Scholar

[ref30] 30. Burdon KP, Rudock ME, Lehtinen AB, Langefeld CD, Bowden DW, Register TC, et al. Human lipoxygenase pathway gene variation and association with markers of subclinical atherosclerosis in the diabetes heart study. Mediators Inflamm. 2010;2010:Article ID 170153, 9 pages.
View Article
Google Scholar

[115] View Article

[116] Google Scholar

[ref31] 31. Averill MM, Kerkhoff C, Bornfeldt KE. S100A8 and S100A9 in cardiovascular biology and disease. Arterioscler Thromb Vasc Biol. 2012;32(2):223–9. pmid:22095980
View Article
PubMed/NCBI
Google Scholar

[118] View Article

[119] PubMed/NCBI

[120] Google Scholar

[ref32] 32. Gomez D, Owens GK. Smooth muscle cell phenotypic switching in atherosclerosis. Cardiovasc Res. 2012;95(2):156–64. pmid:22406749
View Article
PubMed/NCBI
Google Scholar

[122] View Article

[123] PubMed/NCBI

[124] Google Scholar

[ref33] 33. Mazza G, Robmanith E, Lang-Olip I, Pfeiffer D. Marker profile for the evaluation of human umbilical artery smooth muscle cell quality obtained by different isolation and culture methods. Cytotechnology. 2014;68(4):701–11. pmid:25535117
View Article
PubMed/NCBI
Google Scholar

[126] View Article

[127] PubMed/NCBI

[128] Google Scholar

[ref34] 34. Wang K, Sun Y, Tao W, Fei X, Chang C. Androgen receptor (AR) promotes clear cell renal cell carcinoma (ccRCC) migration and invasion via altering the circHIAT1/miR-195-5p/29a-3p/29c-3p/CDC42 signals. Cancer Lett. 2017;394:1–12. pmid:28089832
View Article
PubMed/NCBI
Google Scholar

[130] View Article

[131] PubMed/NCBI

[132] Google Scholar

[ref35] 35. Qu Q, Chu X, Wang P. MicroRNA-195-5p suppresses osteosarcoma cell proliferation and invasion by suppressing naked cuticle homolog 1. Cell Biol Int. 2017;41(3):287–95. pmid:28032380
View Article
PubMed/NCBI
Google Scholar

[134] View Article

[135] PubMed/NCBI

[136] Google Scholar

[ref36] 36. Cobos Jiménez V, Bradley EJ, Willemsen AM, van Kampen AHC, Baas F, Kootstra N a. Next-generation sequencing of microRNAs uncovers expression signatures in polarized macrophages. Physiol Genomics. 2014;46(3):91–103. pmid:24326348
View Article
PubMed/NCBI
Google Scholar

[138] View Article

[139] PubMed/NCBI

[140] Google Scholar

[ref37] 37. Chen T, Huang Z, Wang L, Wang Y, Wu F, Meng S, et al. MicroRNA-125a-5p partly regulates the inflammatory response, lipid uptake, and ORP9 expression in oxLDL-stimulated monocyte/macrophages. Cardiovasc Res. 2009;83(1):131–9. pmid:19377067
View Article
PubMed/NCBI
Google Scholar

[142] View Article

[143] PubMed/NCBI

[144] Google Scholar

[ref38] 38. O’Neill LA, Golenbock D, Bowie AG. The history of Toll-like receptors—redefining innate immunity. Nat Rev Immunol. 2013;13(6):453–60. pmid:23681101
View Article
PubMed/NCBI
Google Scholar

[146] View Article

[147] PubMed/NCBI

[148] Google Scholar

[ref39] 39. Shoenfelt J, Mitkus RJ, Zeisler R, Spatz RO, Powell J, Fenton MJ, et al. Involvement of TLR2 and TLR4 in inflammatory immune responses induced by fine and coarse ambient air particulate matter. J Leukoc Biol. 2009;86(2):303–12. pmid:19406832
View Article
PubMed/NCBI
Google Scholar

[150] View Article

[151] PubMed/NCBI

[152] Google Scholar

[ref40] 40. Wang Q, Dziarski R, Kirschning CJ. Micrococci and Peptidoglycan Activate TLR2 -> MyD88 -> IRAK -> TRAF -> NIK -> IKK -> NF-kB Signal Transduction Pathway That Induces Transcription of Transcription of Interleukin-8. Infect Immun. 2001;69(4):2–9.
View Article
Google Scholar

[154] View Article

[155] Google Scholar

[ref41] 41. Matsuguchi T, Musikacharoen T, Ogawa T, Yoshikai Y. Gene expressions of Toll-like receptor 2, but not Toll-like receptor 4, is induced by LPS and inflammatory cytokines in mouse macrophages. J Immunol. 2000;165(10):5767–72. pmid:11067935
View Article
PubMed/NCBI
Google Scholar

[157] View Article

[158] PubMed/NCBI

[159] Google Scholar

[ref42] 42. Liu Y, Wang Y, Yamakuchi M, Nagata E, Kanmura Y, Kitajima I. Upregulation of Toll-Like Receptor 2 Gene Expression in Macrophage Response to Peptidoglycan and High Concentration of Lipopolysaccharide Is Involved in NF- κ B Activation. Infect Immun. 2001;69(5):2788–96. pmid:11292690
View Article
PubMed/NCBI
Google Scholar

[161] View Article

[162] PubMed/NCBI

[163] Google Scholar

[ref43] 43. Mullick AE, Tobias PS, Curtiss LK. Modulation of atherosclerosis in mice by Toll-like receptor 2. J Clin Invest. 2005;115(11):3149–56. pmid:16211093
View Article
PubMed/NCBI
Google Scholar

[165] View Article

[166] PubMed/NCBI

[167] Google Scholar

[ref44] 44. Philippe L, Alsaleh G, Suffert G, Meyer a, Georgel P, Sibilia J, et al. TLR2 expression is regulated by microRNA miR-19 in rheumatoid fibroblast-like synoviocytes. J Immunol. 2012;188(1):454–61. pmid:22105995
View Article
PubMed/NCBI
Google Scholar

[169] View Article

[170] PubMed/NCBI

[171] Google Scholar

[ref45] 45. Benakanakere MR, Li Q, Eskan M a., Singh A V., Zhao J, Galicia JC, et al. Modulation of TLR2 protein expression by miR-105 in human oral keratinocytes. J Biol Chem. 2009;284(34):23107–15. pmid:19509287
View Article
PubMed/NCBI
Google Scholar

[173] View Article

[174] PubMed/NCBI

[175] Google Scholar

[ref46] 46. Fernández-Velasco M, González-Ramos S, Boscá L. Involvement of monocytes/macrophages as key factors in the development and progression of cardiovascular diseases. Biochem J. 2014;458(2):187–93. pmid:24524191
View Article
PubMed/NCBI
Google Scholar

[177] View Article

[178] PubMed/NCBI

[179] Google Scholar

[ref47] 47. Frink RJ. The smooth muscle cell. The pivot in atherosclerosis. In: Inflammatory atherosclerosis: characteristics of the injurious agent. Heart Research Foundation of Sacramento; 2002. p. 1–6.

[ref48] 48. Maiolino G, Rossitto G, Caielli P, Bisogni V, Rossi GP, Calo L a. The role of oxidized low-density lipoproteins in atherosclerosis: the myths and the facts. Mediators Inflamm. 2013;2013:Article ID 714653, 13 pages.
View Article
Google Scholar

[182] View Article

[183] Google Scholar

[ref49] 49. Islam K, Timraz SBH, Nasser R, Gater DL, Pearson YE, Christoforou N, et al. Co-culture Methods Used to Model Atherosclerosis In Vitro Using Endothelial, Smooth Muscle and Monocyte Cells. SM J Biomed Eng. 2016;2(1):1008.
View Article
Google Scholar

[185] View Article

[186] Google Scholar

Figures

Abstract

Introduction

Materials and methods

Ethics statement

Human primary monocyte isolation, differentiation and polarization

THP-1 monocyte differentiation and polarization

Human primary umbilical artery smooth muscle cells

Transfections

RNA extraction

Reverse transcription and real-time quantitative polymerase chain reaction

Flow cytometry

Western blot

Enzyme-linked immunosorbent assay (ELISA)

Migration assays

In silico miR-195 targets prediction

Luciferase assay

cDNA microarray and gene functional annotation

Statistical analysis

Results

miR-195 is increased in human M2 macrophages

miR-195 reduces TLR2 levels in macrophages

miR-195 inhibits the TLR2 signaling pathway

Increased expression of miR-195 in macrophages decreases production of pro-inflammatory cytokines

miR-195 expression impacts inflammatory and atherosclerosis associated pathways

Expression of miR-195 in macrophages inhibits smooth muscle cells recruitment and migration profile

Discussion

Supporting information

S1 Fig. Human primary monocyte culture, differentiation into macrophages, and polarization.

S2 Fig. Transfection efficiency of miR-195 mimics in THP-1 macrophages.

S3 Fig. Intracellular TLR4 levels in THP-1 macrophages.

S4 Fig. Quantification of protein p54 JNK, p46 JNK and p38 MAPK levels.

S5 Fig. HUASMC characterization by flow cytometry and inverted fluorescence microscopy.

S1 Table. Primers used for RT-qPCR.

S2 Table. Sequence of mature human miR-195-5p according to miRBase, primers used to generate PGL3-constructs for luciferase assays and to generate deletions in the predicted miRNA-binding site.

Acknowledgments

References