http://orcid.org/0000-0001-8104-8425
Figures
Abstract
High levels of TREM-1 are associated with cardiovascular and inflammatory diseases risks and the most recent studies have showed that TREM-1 deletion or blockade is associated with up to 60% reduction of the development of atherosclerosis. So far, it is unknown whether the levels of TREM-1 protein are genetically regulated. Moreover, TREM family receptors have been suggested to regulate the cellular adhesion process. The goal of this study was to investigate whether polymorphisms within TREM-1 are regulating the variants of serum TREM-1 levels and the expression levels of their mRNA. Furthermore, we aimed to point out associations between polymorphisms on TREM-1 and blood levels of selectins. Among the 10 SNPs studied, the minor allele T of rs2234246, was associated with increased sTREM-1 in the discovery population (p-value = 0.003), explaining 33% of its variance, and with increased levels of mRNA (p-value = 0.007). The same allele was associated with increased soluble L-selectin levels (p-value = 0.011). The higher levels of sTREM-1 and L-selectin were confirmed in the replication population (p-value = 0.0007 and p-value = 0.018 respectively). We demonstrated for the first time one SNP on TREM-1, affecting its expression levels. These novel results, support the hypothesis that TREM-1 affects monocytes extravasation and accumulation processes leading to atherogenesis and atherosclerotic plaque progression, possibly through increased inflammation and subsequent higher expression of sL-selectin.
Citation: Aldasoro Arguinano A-A, Dadé S, Stathopoulou M, Derive M, Coumba Ndiaye N, Xie T, et al. (2017) TREM-1 SNP rs2234246 regulates TREM-1 protein and mRNA levels and is associated with plasma levels of L-selectin. PLoS ONE 12(8): e0182226. https://doi.org/10.1371/journal.pone.0182226
Editor: Yves St-Pierre, Institut national de la recherche scientifique, CANADA
Received: April 11, 2017; Accepted: July 15, 2017; Published: August 3, 2017
Copyright: © 2017 Aldasoro Arguinano 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 supported by the “Agence Nationale de la Recherche, programme d’Investissements d’avenir”, grant number ANR-15RHU-0004. The funder provided support in the form of salaries for author Ting Xie, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the “author contributions” section. Our commercial affiliation did not play any funding role in our study.
Competing interests: We have read and understood PLOS ONE policy on declaration of interests and declare the following interests: The author Marc Derive and Sebastien Gibot are co-founders of INOTREM SA, a Company developing TREM-1 inhibitors. The INOTREM Company supported the study by contributing in the mentorship external to the core team, as well as contributing to the review & editing of the pre-publication stages. A patent has been filed in Europe in March 24th, 2017 (Patent application number EP17160945.6). The applicants are INSERM (Institut National de la Sante et de la Recherche Medicale), UNIVERSITY OF LORRAINE, Regional University Hospital of Nancy (CENTRE HOSPITALIER REGIONAL UNIVERSITAIRE DE NANCY) and INOTREM SA. The inventors are Sophie Visvikis-Siest, Alex-Ander Aldasoro Arguinano, Marc Derive and Sebastien Gibot. These competing interests do not alter our adherence to PLOS ONE policies on sharing data and materials.
Introduction
Atherosclerosis is a multifactorial disease affecting arterial blood vessels due to a chronic inflammatory response. One of the early stages of atherosclerosis is the endothelial adhesion/infiltration of white blood cells to the arterial sites, attracted by different pro-inflammatory molecules [1, 2]. This accumulative process gradually promotes inflammation and, by doing so, accelerates the atherosclerotic progression.
Triggering Receptor Expressed on Myeloid cells-1 (TREM-1) is a member of the recently discovered immunoglobulin family [3, 4]. It increases the inflammatory responses of the neutrophils and monocytes [5] and amplifies the production of pro-inflammatory cytokines (TNFα and IL-1beta) [6]. Furthermore, it has been reported that migrating neutrophils bind to TREM-1 [7], suggesting an important role of this receptor in the recruitment and mobilization of neutrophils and monocytes to the arterial intima [8]. Although TREM-1 was initially characterized for its role during the pathophysiology of septic shock [3], there are today increasing evidences that it is also implicated in other acute and chronic inflammatory diseases of non-infectious etiology, such as rheumatoid arthritis [9], atherosclerosis [10], acute myocardial infarction [11] and critical limb ischemia [12]. Activation of innate immunity and inflammatory cells recruitment and extravasation is a common feature of these diseases in which TREM-1 seems to be a central player [8, 10, 13]. Also, the serum levels of soluble TREM-1 (sTREM-1) correlate with the severity of these diseases [8–10, 12, 14–18]. Moreover, the genetic invalidation or pharmacological blockage of TREM-1 results in a reduced inflammatory state and improved outcome in animal models [19, 20]. The mechanistic process by which TREM-1 participates in inflammatory cell extravasation during inflammatory diseases remains to be clarified. It is well known the important role that the adhesion molecules, and specially the selectins, play during this specific process [21–23]. During the last two decades, the importance of the adhesion molecules in the process of inflammatory cells adhesion and trans-endothelial migration, which contributes to pathological inflammation and thrombosis in many preclinical diseases including atherosclerosis, has been widely studied [21, 24–26]. Thus, TREM-1 could be in close connection with the selectins.
TREM-1 gene polymorphisms have been associated with the development of acute inflammation and sepsis, but also with coronary artery disease. Indeed, the polymorphism rs4711668, which is located within the TREM-1 gene has been associated with severe coronary atherosclerosis in a Russian population [27]. However, it is still unknown whether the levels of sTREM-1 are genetically regulated, and no polymorphism has been yet reported to affect its expression levels. Furthermore, another interesting part of TREM-1 regulation is that although there exists a specific splicing variant for the soluble form of the protein (TREM-1sv) [28], some authors argue that the mechanism of shedding of the membrane bound TREM-1 by metalloproteases is the main contributor for the release of sTREM-1 [7, 29].
In the present study, we investigated whether single nucleotide polymorphisms (SNPs) within or near the TREM-1 gene were associated with soluble TREM-1 (sTREM-1 and TREM-1sv) serum levels and with the expression levels of two TREM-1 splicing isoforms, more precisely, the membrane form (mbTREM-1) and the soluble form (TREM-1sv). Moreover, we investigated the associations between the significant in the above associations SNPs and levels of soluble E-selectin, L-selectin and P-selectin (sE-selectin, sL-selectin and sP-selectin), which are involved in the early stages of atherosclerotic processes.
Material and methods
Ethics statement
The samples are part of a human sample storage platform: the Biological Resources Centre ‘Interactions Gène- Environnement en Physiopathologie CardioVasculaire’ (BRC IGE-PCV—number BB-0033-00051) in Nancy, East of France. All participants gave a written informed consent. All the populations involved in this study were recruited in accordance with the latest version of the Declaration of Helsinki for Ethical Principles for Medical Research Involving Human Subjects. All the protocols were approved by the local ethics committees for the protection of subjects for biomedical research: the Comité Consultatif de Protection des Persones dans la Recherche Biomédicale (CCPPRB).
Study populations
The population enrolled in this study makes part of the STANISLAS Family Study (SFS) [30]. Participants were of French origin and were apparently in good health, not under lipid-lowering and/or cardiovascular drug treatment and free from chronic diseases. This cohort is a longitudinal family study designed to investigate factors related to cardio-vascular disease. The clinical data of the investigated individuals were obtained at the Centre for Preventive Medicine (CMP) of Vandoeuvre-lés-Nancy. Participants were of European descent and came from the Vosges and the South of Meurthe-et-Moselle, in the East of France. Among them, 30 unrelated individuals were used as discovery cohort for the selection of the TREM-1 SNPs and for their relation with TREM-1 levels. A population of 351 unrelated individuals was used as discovery cohort for the associations with the adhesion molecules levels.
An independent population (n = 80), available in the Biological Resources Centre ‘Interactions Gène- Environnement en Physiopathologie CardioVasculaire’ (BRC IGE-PCV, number BB-0033-00051), composed of unrelated adults of French origin was used as replication population for the results of associations of SNPs with TREM-1 and adhesion molecules levels.
During and after the data collection, authors had access to information that could identify individual participants.
Data collection and biological measurements
Body mass index (BMI) was measured using the Quetelet’s formula: weight divided by height squared (kg/m2). Blood samples were taken from the individuals after an overnight fast. Plasma and serum samples for adhesion molecules and TREM-1 measurements were frozen at -80°C until analysis.
Plasma levels of E-selectin, L-selectin and P-selectin were measured with enzyme-linked immunosorbent assay (R&D Systems, Abington, UK). Serum levels of soluble TREM-1 were measured with a double antibody sandwich ELISA assay (Quantikine Human TREM-1 Immunoassay ELISA Kit; R&D Systems, Minneapolis, MN, USA) using the iMARK Microplate Absorbance Reader (Bio-Rad).
All molecules were measured in duplicate and according to manufacturers’ instructions.
TREM-1sv levels were measured using a home-made ELISA assay adapted from Duo-Set ELISA assay (R&D Systems, hTREM-1 Duo-Set ELISA assay) and using a monoclonal anti-TREM-1sv antibody (R&D Systems) as capture antibody. A TREM-1sv recombinant protein was used as standard protein for quantification [28]. The sensitivity of the detection of TREM-1sv was of 15pg/mL.
SNPs selection–Bioinformatics analyses
A bibliographic search of the SNPs within or near TREM-1 was performed. The HuGE navigator (https://phgkb.cdc.gov/PHGKB/phgHome.action?action=home) and the NCBI dbSNP database (http://www.ncbi.nlm.nih.gov/projects/SNP/) were used for the selection of SNPs for the further investigations. Only SNPs with a minor allele frequency >5% according to HapMap were selected.
To point out if the significant SNPs are located in regulation zones (promoter, enhancer, silencers) of the TREM-1 gene and are linked to specific epigenetic profiles (acetylation/methylation), bioinformatics analyses were performed comparing different cell types.
The SNPs were localised on the Human genome (GRCh38.p7) using Ensembl browser [31]. Identification of potent regulation zones and establishment of epigenetic profiles according to cell types, were determined using also this browser. Regulation and epigenetic profiles have been obtained using 23 different cell types from 19 healthy and 4 cancerous individuals from Ensembl release 87.
The possible influence of the SNPs on the transcription factor binding site (TFBS) was investigated by using the transcription factor database TRANSFAC R.3.4 [32].
Genotyping
DNA was extracted from all participants, and relative biobanks have been constructed inside the BRC IGE-PCV. The SNPs were genotyped by Genoscreen (http://genoscreen.fr), using a Sequenom iPLEX Gold assay-Medium Throughput Genotyping Technology.
Gene expression investigations
Gene expression analysis was performed on peripheral blood mononuclear cells (PBMCs) of a subsample of 30 individuals from the SFS. PBMCs were isolated by centrifugation on a density gradient of Ficoll. The RNA was extracted from PBMCs with the MagNAPure automate, using the MagNA Pure LC RNA HP isolation kit protocol (Roche Diagnostics, France) and the RNA quality was measured by the NanoDrop 1000 Spectrophotometer (Thermo Scientific). Total RNA was used to generate first-strand complementary DNA (cDNA) with the C1000 Thermal cycler (Bio-Rad) and the cDNA Synthesis Kit (Bio-Rad). The reactions conditions were as follows: 30 minutes at 42°C, followed by 5 minutes at 85°C.
The mbTREM-1 and the TREM-1sv were investigated. The primers used for the amplification of mbTREM-1 were as follows: forward primer, 5’-GTGACCAAGGGTTTTTCAGG-3’; reverse primer, 5’-ACACCGGAACCCTGATGATA-3’. The primers used for the amplification of TREM-1sv were as follows: forward primer, 5’-GTGGTGACCAAGGGGTTC-3’; reverse primer, 5’-AGATGGATGTGGCTGGAAGT-3’. The reaction conditions were as follows: Initial denaturation of 94°C for 2 min, followed by 40 cycles of denaturation at 94°C for 30 seconds, annealing at 58°C for 20 seconds, extension at 70°C for 20 seconds. For the absolute quantification of the 2 splicing forms of TREM-1, corresponding mRNA levels were normalized to the mRNA levels of beta 2 microglobulin (B2M) gene. The housekeeping gene was simultaneously amplified to check the RNA integrity and to verify that the same amounts of template were used in all cases. The absolute quantification of the 2 splicing forms of the TREM-1 and the housekeeping gene were performed using Lightcycler Carousel-Based System (Roche Diagnostics) and SYBR Green I reaction Kit. Negative controls were used for each reaction and the specificity of the products was confirmed by polyacrylamide gel electrophoresis as well as by melt curve analysis. All experiments were performed in duplicate.
No PBMCs were available for the replication population and therefore this analysis was performed only in the SFS individuals.
Statistical analyses
All investigated molecules (intermediate phenotypes) were log transformed in order to normalise their distribution before analyses. The normality of distribution was tested by Kolmogorov-Smirnov test. Hardy-Weinberg equilibrium was tested using the chi-square test. The SNPs-mRNA and soluble TREM-1 levels associations were assessed through linear regression adjusted for age, gender and BMI under three inheritance models (additive, dominant and recessive) and using the minor allele as the reference allele. The association of the most significant SNPs with selectins levels were tested using similar models. Association studies were performed using the Plink Software [33]. Populations’ characteristics were determined using the SPSS statistical software version 20.0 (SPSS, Inc, Chicago, Illinois). Bonferroni correction was applied in order to adjust the multiplicity of tests and avoid the type 1 error. Cut-offs were 0.05/ number of SNPs for the association of the selected SNPs with soluble TREM-1 levels, 0.05/ number of SNPs/2 for the associations of the significant SNPs with the 2 mRNA levels and 0.05/number of SNPs/number of selectins for the associations of the significant SNPs with the selectins’ levels.
Results
HuGE navigator and NCBI dbSNP database searches resulted to the selection of 10 SNPs located within or near TREM-1 with a minor allele frequency >5%. The 10 SNPs were genotyped in 30 individuals from the SFS. No significant deviation from Hardy-Weinberg equilibrium was observed for the studied polymorphisms (Table 1).
Association studies between the 10 polymorphisms in TREM-1 and serum levels of sTREM-1/TREM-1sv
For this first decisional step, we used a discovery and a replication population. Demographic and clinical characteristics of the studied individuals included in each population are summarized in the Table 2.
Association analyses were performed in 30 individuals of SFS (discovery population) for the 10 SNPs and the levels of TREM-1 in serum using the additive, dominant and recessive inheritance models (P-value cut-off was set at 0.05/10 = 0.005). Only for rs2234246 we found significant results. According to the additive model, the minor allele T of rs2234246 was associated with increased levels of sTREM-1 (p-value = 0.003, β = 0.3, data available in Table 3 and Fig 1). When the dominant model was used, this association was even stronger (p-value = 0.0003, β = 0.49), and the variance in the serum TREM-1 levels explained by the model is of 33% in the discovery population.
Thin bars show standard errors. CC; Homozygous for the major allele of the rs2234246. TC; Heterozygous for the rs2234246. TT; Homozygous for the minor allele of the rs2234246. The significance between genotypes is showed as follows; N.S.; >0.05, * p<0.05, ** p<0.01, *** p<0.001.
P-value thresholds for TREM-1 protein levels are P<0.005 for the discovery population and P<0.05 for the replication population. P-value threshold for mRNA levels is <0.025.
The SNP rs2234246 was then genotyped in 80 additional and independent individuals (replication population). Additive and dominant models confirmed the association between the minor allele T and sTREM-1 levels (p-values = 0.0007 and 0.0017 respectively, β = 0.13 and 0.22 respectively, data available in Table 3 and Fig 2). Threshold of significance was 0.05 (as only 1 SNP was tested). The TREM-1 variance explained by the model is of 13% in the replication population.
Thin bars show standard errors. CC; Homozygous for the major allele of the rs2234246. TC; Heterozygous for the rs2234246. TT; Homozygous for the minor allele of the rs2234246. The significance between genotypes is showed as follows; N.S.; >0.05, * p<0.05, ** p<0.01, *** p<0.001.
The serum TREM-1sv levels, generated by the mRNA splicing variant TREM-1sv, were also measured in 78 individuals of the replication population. The TREM-1sv levels were detected only in four of the 78 samples studied, allowing no statistical analysis.
Association studies between the rs2234246 in TREM-1 and mRNA expression levels (mbTREM-1 and TREM-1sv)
Association analyses were then performed between the rs2234246 SNP and the expression levels of the two different alternative splicing isoforms of TREM-1 (mbTREM-1 and TREM-1sv mRNAs) in PBMCs of the 30 individuals of the discovery population (threshold of significance was 0.05/1 SNP/2 phenotypes = 0.025). Interestingly, the SNP rs2234246 showed significant association with increased mRNA levels of the splicing form that codes for mbTREM-1 (additive model, p-value = 0.007, β = 0.49, data available on Table 3), whereas it was not associated with the levels of mRNA coding TREM-1sv. The TREM-1sv protein was only present in four samples out of the 78 samples studied, not showing increased expression in the presence of the SNP rs2234246.
Association studies of the rs2234246 polymorphism in TREM-1 with soluble selectins’ levels
The SNP rs2234246 was further genotyped in 351 individuals (discovery population, characteristics in Table 2). Association analyses were performed between the SNP rs2234246 and the sL-, sP- and sE-selectin levels (cut-off value for significance was set to 0.05/1 SNP/3 phenotypes = 0.016). Only the association with sL-selectin was significant (p-value = 0.011, β = 0.05) and explained a total of 2.1% of the variability of the sL-selectin. The minor allele T of the polymorphism was significantly associated with increased sL-selectin levels. No significant association was observed for sP- and sE-selectin levels.
The association between the minor allele T and sL-selectin levels was then confirmed in the 80 individuals of the replication population (p-value = 0.018, β = 0.03) (cut-off value for significance was set to 0.05, as only 1 SNP was tested) and association explained a total of 4.3% of the variability of the sL-selectin. All results are available in the Table 4.
MAF = Minor allele frequency of the rs2234246. Cutoff value of significance: 0.016 in discovery and 0.05 in replication population.
Regulatory environment of TREM-1 rs2234246
Using bioinformatics analyses, we established the regulatory environment of SNP rs2234246 (S1 Fig). The rs2234246 polymorphism is located at 41276002 bp on the forward strand. It is positioned halfway between an open chromatin zone and a promoter flanking region. We can note that the open chromatin zone is active only in monocytes CD14+, which are present in PBMCs. Furthermore, the promoter flanking region is in an active state only in two cell types: the monocytes CD14+ and CD14+CD16-. It can be observed as well that the polymorphism is located in the 3’UTR region of the two mRNA splicing variants studied: mbTREM-1 (TREM1-001) and TREM-1sv (TREM1-002).
It is important to mention also that in the non-leukocyte cell types, the neighbourhood of TREM-1 gene show only repressed or inactive areas, suggesting that these areas are not subject to regulations (results not shown).
Epigenetic footprint of TREM-1 rs2234246
Using bioinformatics tools, we established the epigenetic profiles (methylation / acetylation) of rs2234246 according to the cell type involved (S2 Fig). A specific epigenetic pattern emerged in monocytes (CD14+ and CD14+CD16-), vein blood neutrophils, eosinophils and macrophages in particular by the presence of H3K36me3 and H3K4me1. This specific methylation pattern is not present in the other 18 cell types investigated. Especially the presence of H3K36me3 is interesting, as is considered as a hallmark of actively transcribed regions. Thus, we speculate that the genetic region where the SNP rs2234246 is located is prone of higher expression levels of the TREM-1 gene.
Potential transcription factor binding sites in the rs2234246 locus
The bioinformatics results showed also differences in the potential transcriptional factors binding the locus according to the different alleles of the SNP rs2234246.
When the minor allele is present (T), the specific potential transcription factors that are able to bind are AP4, LMO2 and TAL1, with a similarity score of 0.857, 0.791 and 0.773, respectively. Regarding the position weight matrix, we can see that the minor allele T is a highly conserved nucleotide in the TAL1 binding site, having a height of 2.0 bits. In the case of the transcription factor binding site LMO2 and AP4, the T allele is also important with a height >1.7 and >1.2 bits, respectively (Fig 3).
When the major allele is present (C), the specific potential transcription factors that are able to bind are REL, CAAT and NFY, showing a similarity score of 0.838, 0.801 and 0.771 respectively. The position weight matrix shows that the minor allele C is highly conserved in the case of the CAAT and NFY binding sites (height >2 bits and >1.7 bits, respectively). In the binding site of REL, the C allele is also a conserved nucleotide with a height >1.2 bits (Fig 4).
The consensus sequence (fixed) of the transcription factor binding sites means: S = C or G, W = A or T, R = A or G, Y = C or T, K = G or T, M = A or C, N = any base pair. The input sequence was 38pb length, centred on the SNP of interest rs2234246. Only TFBS harbouring a nucleotide in its consensus sequence in coherence with the SNP of interest were selected.
Discussion
TREM-1 protein levels have been related to numerous diseases where inflammation and inflammatory cell extravasation play central roles, such as atherosclerosis [10], acute myocardial infarction [11], and critical limb ischemia [12]. All these diseases have an important genetic component [34, 35], and despite all advances in treatment and prevention, they remain the leading cause of death worldwide [36]. This makes necessary the detection of genetic polymorphisms that could uncover novel metabolic pathways involved in the pathophysiology of these diseases, and therefore, improve their prevention and treatment [37, 38].
After a bibliography search of the SNPs within or near TREM-1, a total of 10 polymorphisms were selected and further analysed. Among them, we found that rs2234246, located in the mRNA 3’UTR region of TREM-1, was associated with sTREM-1 protein levels. So far, this is the first polymorphism that has been reported to affect the sTREM-1 levels. The minor allele T of this polymorphism was strongly associated with increased sTREM-1 levels, both in the discovery and the replication populations (p-values = 0.003 and 0.0007 respectively), explaining a large percentage of its phenotypic variation (33% and 13% in the discovery and replication population respectively).
It has been widely reported that increased levels of sTREM-1 were correlated to the severity of above-mentioned inflammatory diseases and poor prognosis [8–10, 12, 14–18], and the most recent studies have showed that TREM-1 deletion or blockade is associated with up to 60% reduction of the development of atherosclerosis [10]. Thus, the T allele of rs2234246 may be considered as a risk factor, while the C allele may be a protective factor for these diseases. Given the high frequency of the polymorphism in the general population (about 50%), this result could be of high interest in further personalized medicine strategies for stratifying patients according to their risk to the above pathologies. In this context, it is important to note that a previous study has associated the minor allele of the SNP rs2234246 with an increased 3.1 odds ratio for septic shock [39]. This finding strengthens our hypothesis on the utility of the polymorphisms located in TREM-1 gene in risk stratification. Another SNP located also within the TREM-1 gene (rs4711668) has been associated with severe coronary atherosclerosis in a Russian population [27]. However, it is not known whether this polymorphism is affecting the TREM-1 protein levels and although it is close to our SNP of interest, the 2 SNPs are not in strong linkage disequilibrium between them (r2 = 0.46).
We have also associated the T allele of the SNP rs2234246 with the expression levels of mbTREM-1 mRNA in PBMCs (p-value = 0.007 β = 0.49). This result is conferring functional properties to this polymorphism. However, we didn’t differentiate the monocyte subsets, and the expression of TREM-1 as well as the effect of the SNP rs2234246 could vary according the different monocyte subtypes. It is important to note that according to our bioinformatics analysis, the polymorphism is located in the 3’UTR region of the two mRNA splicing variants studied (S1 Fig). Interestingly, the polymorphism rs2234246 was related to an increase in the expression level of the mRNA coding mbTREM-1, but it was not related to the mRNA that codes TREM-1sv, nor to the TREM-1sv protein levels itself, which was not present in the serum. Two hypotheses have been proposed for the origin of soluble TREM-1: (1) splicing of different variants of alternative mRNA, which generates the TREM-1sv [40] and (2) shedding of mbTREM-1 by metalloproteases, which generates the sTREM-1. Our results, taking also into consideration that TREM-1sv protein levels were not present in the serum, support the hypothesis that the levels of sTREM-1 are controlled post transcriptionally by metalloproteases, rather than by alternatively spliced forms of RNA [7, 29].
According to our bioinformatics-epigenetics results, the rs2234246 has a specific H3K36me3 and H3K4me1 methylation epigenetic patterns in two groups of monocytes (CD14+ and CD14+CD16-), which are present in PBMCs. The presence of H3K36me3 is especially interesting as it is considered to be a hallmark of actively transcribed gene bodies. Thus, we speculate that the genetic region where the SNP rs2234246 is located, is prone of higher expression levels of the TREM-1 gene [41]. However, this is only an assumption, as we were not able to perform experiments to confirm this effect. At the same time, the regulation profile of TREM-1 shows an open chromatin zone and active promoter flanking regions only in CD14+ monocytes. The open chromatin zones are functionally related to transcriptional activity where DNA is accessible for the binding of proteins such as transcription factors [42]. Moreover, the SNP rs2234246, by the fact that it is located in the 3’-UTR of the mRNA, which is rich in regulatory regions that post-transcriptionally could influence gene expression [43, 44]. The effect of rs2234246 polymorphism on the sTREM-1 levels could be explained by several hypothetical mechanisms: (i) Post-transcriptional regulation of many pro-inflammatory mediators is controlled by adenosine and uridine-rich elements (AREs) [45]. AREs regions, located in the 3’-UTR of the mRNA can promote mRNA decay, affect mRNA stability, or activate translation. (ii) According to the TRANSFAC R.3.4. Database, the potential transcription factors binding the locus of the SNP rs2234246 could be different depending on the allele. The minor allele T is potentially associated with the matching of the transcription factors AP4, LMO2 and TAL1, while the major allele C is potentially associated with the matching of the transcription factors REL, CAAT and NFY. The type of transcription factors or even the affinity of those for the different polymorphisms of the rs2234246, could explain the changes in the expression levels of the TREM-1 gene. However, we didn’t have experimental data that could confirm these possible direct affinity changes depending on the different alleles of the rs2234246, thus further experiments are needed to confirm this assumption.
It has been previously suggested that the receptors of the TREM family are regulating the cellular adhesion of macrophages and neutrophils via the phosphorylation of DAP12, which leads to activation of calcium sensitive kinases [6, 46]. At the same time, the number of studies supporting the importance of TREM-1 in the trans-epithelial migration of neutrophils and monocytes is increasing. Migrating neutrophils in septic patients have been found to bind to TREM-1 [7]. It has been previously demonstrated that TREM-1 is crucially involved in leukocyte recruitment after myocardial infarction and atherosclerosis [10, 11]. We demonstrated a five-fold decrease in the number of recruited neutrophils when TREM-1 was inhibited pharmacologically [11]. Also, in acute respiratory infections, TREM-1 is required for the trans-epithelial migration of neutrophils into the lung [13]. Despite these arguments, so far, the process by which TREM-1 contributes to this trans-epithelial migration is unknown. In our study, we demonstrated for the first time that TREM-1 is regulating one adhesion molecule.
We found that the rs2234246 polymorphism is specifically correlated with increased plasma levels of L -selectin. The soluble L-selectin levels are thought to represent a homeostatic effort to limit excessive inflammation. Indeed, they are correlated with the severity of inflammatory diseases, including cardio-vascular diseases [47, 48]. Although, once in a soluble form, they may have reduced adhesion, migration and trans-epithelial migration capacity, it can be postulated that TREM-1 increases inflammation in general, leading to L-selectin shedding as a downstream effect. Especially, L-selectin, has been showed to be important in the recruitment of monocytes and neutrophils to sites of acute and chronic inflammation [49]. The role of the selectins in inflammatory processes is well established, and the selectin-mediated adhesion and signalling contribute to different cardio-vascular diseases [21]. The selectins, have been shown to contribute to atherosclerosis [24, 25] and arterial thrombosis [50]. According to our results, the minor allele T of the rs2234246 could act as a risk factor as it is correlated with an increase of 2.1–4.3% of sL-selectin [47, 48, 51]. It would be also interesting to further investigate the possible associations between the membrane bound L-selectin levels and rs2234246. Unfortunately, in this work we were not able to address this issue.
The conclusion from our bioinformatics and transcriptomic analyses supports the hypothesis that TREM-1 is involved in the trans-epithelial migration process of leukocytes, more specifically of monocytes, that could be effective through a higher level of inflammation, which could be observed with an overexpression of sL-selectin.
One of the advantages of our research is that we limited the potential confounders by using a homogeneous population coming from the region of Lorraine in France as a discovery population. Because of this, we have been able to reduce the enormous cardio-vascular-related heterogeneity of the population, by linking genes of interest to intermediate phenotypes and not to the disease. This approach can represent better the real biological pathways where the gene of interest is involved. Moreover, we replicated the results in an independent population, while simultaneously bioinformatics and bibliographical data also strengthen our results.
One limitation of our study is that we were not able to realize gene expression analysis in the PMNs and more specifically in neutrophils. As well as the monocytes, the neutrophils are also expressing TREM-1 protein. However, we were not able to have direct experimental data about the effect of the SNP rs2234246 in neutrophils due to lack of biological material. Future studies are needed to confirm these possible effects. Also, we couldn’t make the distinction among the different subgroup of monocytes and TREM-1 expression, and the effect of the SNP rs2234246 may be different in those subgroups. A more specific study including the monocyte subsets would significantly improve the biological relevance of the SNP rs2234246. In conclusion, our study led to the discovery of one polymorphism (rs2234246) strongly affecting sTREM-1 protein levels and associated to an increase in the levels of the mRNA coding mbTREM-1 in PBMCs. Since no association was established with splicing mRNA and TREM-1sv was not detected in the serum of the individuals, it seems that, the levels of sTREM-1 are controlled post transcriptionally by metalloproteases. Interestingly, we demonstrated for the first time that TREM-1 rs2234246 polymorphism can also modulate the sL-selectin levels via a higher inflammatory state, suggesting that TREM-1 acts in the trans-epithelial migration process of leukocytes and more specifically of monocytes through expression of sL-selectin.
Supporting information
S1 Fig. Regulation profile of the TREM-1 gene in different cell types expressing the protein TREM-1.
The polymorphism rs2234246 is located at 41276002 bp on the forward strand (vertical red line). It is positioned halfway between an open chromatin zone and a promoter flanking region. It can also be observed that the polymorphism is located in the 3’UTR region of the two mRNA splicing variants studied: mbTREM-1 (TREM1-001; ENST00000244709.8) and TREM-1sv (TREM1-002; ENST00000334475.10) and in an intron zone of another TREM-1 transcript: TREM1-006 (ENST00000589695.1) (VB: Vein blood).
https://doi.org/10.1371/journal.pone.0182226.s001
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S2 Fig. Epigenetic profile of rs2234246 in leukocytes cell types: Specific histone methylation patterns (VB: Vein blood).
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Acknowledgments
The data used is part of the Biological Resources Center “Interaction Gène-Environnement en Physiopathologie CardioVasculaire” in Nancy, France. We are very grateful for the individuals that had participated in the study sample.
References
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