A functional polymorphism at the miR‑491‑5p binding site in the 3'‑untranslated region of the MMP‑9 gene increases the risk of developing ventilator‑associated pneumonia
- Authors:
- Published online on: October 18, 2021 https://doi.org/10.3892/ijmm.2021.5050
- Article Number: 217
Abstract
Introduction
As a primary contributor of sepsis in elderly patients, ventilator-associated pneumonia (VAP) affects up to 30% patients in intensive care units (ICUs) with a mortality rate of ~60% (1,2). Although VAP seems to be triggered by the intubation and related mechanical ventilation procedures applied to patients in the ICU, that promote the exposure of these patients to various types of pathogens that are resistant to ordinary antibiotics, the detailed mechanisms underlying the pathogenesis of VAP remain unclear (3). In particular, since the genetic conditions of patients can be affected by a wide range of single nucleotide polymorphisms (SNPs) in their genes, their defense and immunity against pathogens, such as viruses, bacteria, fungi and other harmful microorganisms, can be significantly affected due to their differential expression of various cytokines, receptors and pro-inflammatory factors (3).
As a type of short RNA transcript of ~22 nucleotides in length with no protein encoding abilities, microRNAs (miRNAs or miRs) can regulate the expression of their target genes at the post-transcriptional level (4). miRNAs are involved functionally in the regulation of a wide range of cellular processes, such as the apoptosis, invasion, differentiation, growth and proliferation of different types of cells (5). In addition, miRNAs can act as either tumor suppressors or oncogenes to affect the onset, development, prognosis and metastasis of a wide range of malignant tumors (3,6).
A number of miRNAs can interact with the same mRNA transcript to play a gene regulatory role at the post-transcriptional level through a complex network of signaling pathways (7). For example, SNPs positioned in the 3-untranslated regions (UTRs) of target genes of miRNAs can alter the binding affinity between these target mRNAs and their targeting miRNAs, resulting in the differential expression of these target genes (8). In particular, the rs1056628 SNP found in the seed sequence of miR-491 may affect the expression of one of its targets, matrix metalloproteinase (MMP)-9, due to the complementary binding between miR-491 and the MMP-9 3′UTR (9). Moreover, the A/C variants of rs1056628 SNP located in the MMP-9 3′UTR have been shown to increase the incidence of atherosclerotic cerebral infarction (ACI) in Chinese patients; in addition, it demonstrated that a significant association existed between the risk of ACI and a haplotype of MMP-9, i.e., the combination of three SNPs of rs9509T, rs1056628C and rs20544C (10).
The concentration, as well as the activity of MMP-9 in the plasma of patients with VAP have been shown to be markedly increased as compared with a control group of healthy patients free of VAP (11). Thus, the plasma level of MMP-9 protein in patients with chronic obstructive pulmonary disease (COPD) may be used as a potential biomarker to determine the necessity of antibiotic treatments provided to decrease the chance of VAP (11). As a member of the superfamily of zinc-dependent endopeptidases, the 92-kDa MMP-9, which is also a member of type IV collagenase, can play a vital role in the initialization of immune responses (12–14). MMP-9 can be generated by a wide range of cells, such as monocytes, leukocytes, macrophages, keratinocytes, as well as malignant tumor cells (15). In addition, MMP-9 can play an essential role in inflammation by promoting the synthesis and release of reactive oxygen species from neutrophils (16).
It has been found that the plasma matrix MMP-9 level is associated with the severity of VAP (11). The rs1056629 SNP situated at the 3′UTR of MMP-9 has been found to increase the expression of MMP-9 by interrupting the interaction between MMP-9 and miR-491 (9). In the present study, patients with COPD who developed VAP were enrolled and the effects of rs1056629 on the expression of MMP-9 and the severity of VAP were examined.
Materials and methods
Patients and sample collection
Peripheral blood samples were collected from a total of 96 patients with COPD hospitalized at the ICU of Qinghai Red Cross Hospital from September, 2015 to August, 2017 for clinical analysis. Although all patients treated with mechanical ventilation were eligible for the screening of the study, all enrolled patients must have experienced at least one episode of VAP. Peripheral blood samples were collected from all subjects to isolate their monocytes and to determine their genotypes of rs1056629 SNP. The isolation process was accomplished using the Human Peripheral Blood Mononuclear Cell Isolation and Viability kit (ab234628; Abcam) following the instructions of the manufacturer. Subsequently, based on the results of rs1056629 SNP genotyping, all the subjects were divided into 3 groups as follows: The CC group (n=18), the CA group (n=33) and the AA group (n=45). The protocol of the study, as well as the template of informed consent form (ICF) was reviewed and approved by the Clinical Ethics Committee of our Qinghai Red Cross Hospital for the retrospective use of these blood samples, and written informed consent was obtained from all subjects or their family members prior to the initialization of the study.
Clinical pulmonary infection score (CPIS) evaluation
The CPIS of each subject was assessed using an established method as described in a previous study (17).
Genotyping by TaqMan assay
First, peripheral blood samples were collected under fasting conditions from each subject using EDTA blood collection tubes to isolate mononuclear cells. The genomic DNA in each sample of mononuclear cells was isolated from archived pellets utilizing a QIAamp genomic DNA extraction assay kit (Qiagen, Inc.) following the instructions provided with the assay kit. The genotypes of rs1056629 SNP in the genomic DNA isolated from the mononuclear cells of each subject were determined using quantitative PCR (qPCR), which was carried out using a TaqMan genotyping assay kit (cat. no. 4381657; Applied Biosystems; Thermo Fisher Scientific, Inc.) on a 7900HT fast real-time PCR machine (Applied Biosystems; Thermo Fisher Scientific, Inc.) following a standard protocol provided by the manufacturer. For the purpose of quality control, both negative control wells, which contained blank samples free of DNA, and positive control wells, which contained genomic DNA samples of a known genotype of rs1056629 SNP, were set up in each microtiter plate of the qPCR reaction.
RNA isolation and reverse transcription-qPCR (RT-qPCR)
Peripheral blood samples collected from each subject and the A549 and H1299 cells (described below) were subjected to treatment with a mirVana assay kit (Ambion; Thermo Fisher Scientific, Inc.) following the instructions provided by the kit manufacturer to collect and purify the total RNA content in each sample. Subsequently, the integrity and concentration of each purified RNA sample were evaluated utilizing an Agilent Bioanalyzer (Model 2100, Agilent Technologies, Inc.). Reverse transcription was then performed utilizing a MiScript Reverse Transcription kit (cat. no. 218160; Qiagen GmbH) to produce cDNA templates, which were then subjected to qPCR utilizing specific TaqMan probes and Universal TaqMan Master Mix (cat. no. 4304437; Applied Biosystems; Thermo Fisher Scientific, Inc.) in accordance with the instructions provided by the manufacturer. All qPCR reactions were carried out in triplicate wells of a 384-well qPCR plate, which was then loaded into a 7900HT fast real-time PCR machine (Applied Biosystems; Thermo Fisher Scientific, Inc.) for operation. The thermocycling conditions were 95°C for 15 min (initial activation), 94°C for 15 sec (denaturation), 55°C for 30 sec (annealing), and 72°C for 60 sec (extension). Finally, the relative expression of miR-491 and MMP-9 mRNA in each sample was calculated by normalization vs. the expression of the U6 (for miR-491) and GAPDH (for MMP-9 mRNA) housekeeping genes using the 2−ΔΔCq method, respectively (18). The primers used for PCR were as follows: miR-491 forward, 5′-AGTGGGGAACCCTTCC-3′ and reverse, 5′-GAACATGTCTGCGTATCTC-3′; MMP-9 forward, 5′-GCCACTACTGTGCCTTTGAGTC-3′ and reverse, 5′-CCCTCAGAGAATCGCCAGTACT-3′; U6 forward, 5′-CTCGCTTCGGCAGCACA-3′ and reverse, 5′-AACGCTTCACGAATTTGCGT-3′; and GAPDH forward, 5′-GTCTCCTCTGACTTCAACAGCG-3′ and reverse, 5′-ACCACCCTGTTGCTGTAGCCAA-3′.
Cell culture and transfection
The human lung adenocarcinoma cell line, A549 (cat. no. CRM-CCL-185™), and the human lung carcinoma cell line, H1299 (cat. no. CRL-5803), were obtained from the American Type Culture Collection and incubated in a Dulbecco's modified Eagle's medium (DMEM; Gibco; Thermo Fisher Scientific, Inc.) supplemented with 2 mM L-glutamine, 10% heat inactivated FBS and 100 U/ml penicillin/streptomycin (Gibco; Thermo Fisher Scientific, Inc.). The culture conditions were 95% air, 5% CO2, saturated humidity and a temperature of 37°C. These cell lines were selected due to the fact that they exhibited good growth conditions and were easier to obtain during the study. When the cells reached the logarithmic growth, they were divided into 3 groups as follows: The NC group, the 50 nM miR-491 mimics (Thermo Fisher Scientific, Inc.) group and the 100 nM miR-491 mimics (Thermo Fisher Scientific, Inc.) group, and transfected with either a scramble miRNA control sequence (5′-UGGGCGUAUAGACGUGUUACAC-3′) or the corresponding concentrations of miR-491 mimics (Thermo Fisher Scientific, Inc.) using Lipofectamine 3000® (Invitrogen; Thermo Fisher Scientific, Inc.) at 4°C for 48 h following a standard transfection protocol provided by the manufacturer. Subsequent observations were performed at 48 h post-transfection.
Vector construction and luciferase assay
To determine the regulatory association between miR-491 and MMP-9, as well as the effect of different genotypes of rs1056629 SNP on the binding affinity between miR-491 and MMP-9 3′UTR, the 3′UTR of MMP-9 containing the rs1056629-A or rs1056629-C allele in its miR-491 binding site were respectively sub-cloned into pcDNA luciferase vectors (Promega Corporation). The A549 and H1299 cells were then co-transfected with different vectors of MMP-9 3′UTR in conjunction with 20 pmol miR-491 mimics or a scramble control for 24 h at 4°C using Lipofectamine 3000®, followed by the detection of luciferase activity of the transfected cells at 48 h following the start of transfection using a Bright-Glo luciferase assay kit (Promega Corporation) following the protocol provided with the kit. The relative luciferase activity was normalized to the Renilla luciferase activity.
Western blot analysis
The collected clinical samples, as well as the cultured cell samples were first lysed in a RIPA lysis buffer (pH 7; Cell Signaling Technology, Inc.) containing 0.5% sodium deoxycolate, 10 mM EDTA, 0.5% NP-40, 100 mM NaCl, 100 mM Tris, and a cocktail of phosphatase and protease inhibitors (Cell Signaling Technology, Inc.). The supernatant of each sample was then collected via 30 min of centrifugation at 4°C and 14,000 × g, followed by the quantification of the protein concentration using a BCA assay kit (Pierce; Thermo Fisher Scientific, Inc.). Subsequently, the protein was resolved using 10% SDS-PAGE and transferred onto a PVDF membrane, which was then blocked with 5% skim milk, incubated at 4°C for 12 h with primary anti-MMP-9 antibody (1:1,000; ab38898; Abcam) and subsequently incubated at room temperature for 1 h with corresponding HRP-labeled secondary antibody (1:2,000; ab6721; Abcam) consecutively, developed using an enhanced chemiluminescence reagent (Amersham; Cytiva), visualized using a Bio-Rad imager (Bio-Rad Laboratories, Inc.) and processed using ImageJ software (V1.4.1; National Institutes of Health) to determine the relative expression of MMP-9 proteins utilizing β-actin as the internal reference.
ELISA
The levels of TNF-α and IL-6 in monocytes isolated from the peripheral blood samples of all subjects were determined using commercial ELISA kits (E-EL-H0109 for TNF-α, E-EL-H0102 for IL-6, Elabscience) following the kit manuals, and the absorbance values were measured utilizing a Multiskan GO microplate reader (Thermo Fisher Scientific, Inc.).
Statistical analysis
All statistical analyses were carried out utilizing SPSS 16.0 statistical software (SPSS, Inc.). Continuous parameters are presented as the mean ± SD, and inter-group comparisons were carried out using one-way ANOVA with the Student-Newman-Keuls post hoc test. All statistical tests were bilateral and P-values <0.05 were considered to indicate statistically significant differences.
Results
Patients with COPD with the AC and CC genotypes of rs1056629 have a higher risk of developing VAP
All 96 patients with COPD in the present study were genotyped for their rs1056629 SNP, which was located within the 3′UTR of MMP-9 mRNA. As shown in Fig. 1, carriers of either one or two C alleles had a significantly shorter time to develop VAP when compared to the carriers of the wild-type AA (Fig. 1A). Consistently, the CPIS was notably increased in both the CC and CA groups (Fig. 1B).
Genotypes of rs1056629 SNP are associated with the differential expression of TNF-α, IL-6 and MMP-9
ELISA was carried out to evaluate the expression of TNF-α and IL-6 in the monocytes of the 3 groups of patients. The expression of TNF-α and IL-6 was evidently elevated in patients with the CC and AC genotypes than in those with the AA genotype (Fig. 2). Furthermore, the expression of miR-491 and MMP-9 mRNA was also analyzed using RT-qPCR, and no marked differences in the expression of miR-491 were found between all 3 groups (Fig. 3A). However, the expression of MMP-9 mRNA was significantly increased in the CC and AC groups (Fig. 3B).
miR-491 inhibits the expression of MMP-9 by directly binding to the 3′UTR of MMP-9
The screening of potential binding sites of miR-491 identified a miR-491 binding site at the 3′UTR of MMP-9 mRNA. Subsequently, luciferase reporter plasmids of MMP-9 3′UTR containing different genotypes of rs1056629 SNP were constructed, and were then co-transfected with miR-491 into A549 cells (Fig. 4A). The luciferase activity of wild-type rs1056629-A, but not that of mutant rs1056629-C SNP was markedly inhibited by miR-491 (Fig. 4B). Furthermore, the inhibitory effect of miR-491 on MMP-9 expression was also confirmed in H1299 cells (Fig. 4C). Thus, these results indicated that miR-491 suppressed the expression of MMP-9 by binding to its 3′UTR.
Overexpression of miR-491 in A549 and H1299 cells suppresses the expression of MMP-9
To further confirm the inhibitory role of miR-491 in MMP-9 expression, 50 and 100 nM miR-491 mimics were transfected into the A549 and H1299 cells, and this led to the overexpression of miR-491 (Figs. 5A and 6A) in a concentration-dependent manner. MMP-9 mRNA expression was also significantly reduced in the A549 (Fig. 5B) and H1299 cells (Fig. 6B) transfected with miR-491 in a concentration-dependent manner. Similarly, the expression of MMP-9 protein in the A549 (Fig. 5C) and H1299 (Fig. 6C) cells transfected with miR-491 was also decreased in a concentration-dependent manner. Collectively, these results suggested that miR-491 inhibited MMP-9 expression in a concentration-dependent manner.
Discussion
As a type of severe infectious disease, VAP can be easily observed in patients in the ICU who have been treated using mechanical ventilators for at least 48 h (19). As a result, the development of effective measures with the potential to reduce the risk of VAP has become a great challenge (20).
The rs1056629 SNP found in both the seed sequence of miR-491, as well as the 3′UTR domain of MMP-9 is suspected to increase the risk of atherosclerotic cerebral infarction (10). By playing an essential role in the degradation and decomposition of type V and type IV collagens, MMP-9 expression is increased in patients suffering from acute ischemic stroke, as well as atherosclerosis (21,22). MMP-9 can also play an important role in the onset of vascular remodeling, atherosclerosis, as well as in the formation of arterial plaques (12,23,24). The 3′UTR domain of mRNAs is crucial for maintaining the stability of their host mRNAs while serving as a primary target in the functioning of miRNAs. Nevertheless, a few studies have tried to investigate the regulatory association between the risk of ACI and the presence of various SNPs in MMP-9 3′UTR, although in vitro experiments have provided some evidence supporting the aforementioned association (10). In the present study, 96 patients with COPD who developed VAP were enrolled and divided into different groups according to their genotypes of rs1056629 SNP in the 3′UTR of MMP-9. It was found that carriers of rs1056629-C SNP exhibited a significantly accelerated development of VAP. Furthermore, ELISA was performed to evaluate the expression of TNF-α and IL-6 in the monocytes of these patients with VAP, and an elevated expression of TNF-α and IL-6 was observed in patients carrying the rs1056629-C allele. In addition, RT-qPCR was used to assess the differential expression of miR-491 and MMP-9 in the monocytes of patients with VAP carrying different genotypes of rs1056629, and no difference in the expression of miR-491 was observed among the different groups of patients. However, MMP-9 expression was increased in patients carrying the rs1056629-C allele.
Multiple inflammatory diseases, such as ulcerative colitis, have been shown to display an abnormal level of MMP-9 activity and expression (25–29). As a frequently recurring autoimmune disease of the colon, ulcerative colitis is featured not only by a significantly elevated level of MMP-9 proteins, but also a significantly elevated level of proteolytic activity, which may be caused by the excessive expression of certain inflammatory factors, including IL1-α and TNF-α (29,30–33).
Since MMP-9 is apparently associated with an increased risk of developing pneumonia, it has been hypothesized that an elevated level of MMP-9 may be an important contributor for the onset of VAP (14). In the present study, luciferase assays were used to explore the inhibitory effects of miR-491 on MMP-9 expression. MMP-9 expression was markedly suppressed by miR-491 overexpression, which bound to the 3′UTR of MMP-9.
The activity of MMP-9 is apparently increased in patients with pneumonia (34). In addition, the level of MMP-9 has been shown to be markedly increased in patients with bronchoalveolar lavage fluid (BALF) along with an obviously increased number of apoptotic neutrophils (35,36). Furthermore, the plasma level of MMP-9 proteins in patients with VAP is much higher than that in patients free of VAP, while the application of appropriate treatments significantly decreases the level of MMP-9 (11). In the present study, A549 and H1299 cells were transfected with miR-491 mimics, and the mRNA and protein expression of MMP-9 was then analyzed by RT-qPCR and western blot analysis, respectively. It was found that MMP-9 expression in the A549 and H1299 cells was markedly decreased by miR-491 overexpression.
MMP-9 can be a main contributor to the induction of inflammatory responses by acting to cleave pro-inflammatory factors, such as IL-1β (37–40). In addition, MMP-9 can also promote the undocking of activated TNF from the cell plasma membrane to facilitate the induction of inflammation (41–43). During the pathogenesis and development of myocardial infarction, MMP-9 is released by both macrophages and neutrophils to participate in the degradation of the extracellular matrix, as well as the regulation of TGF-β functions, which have been shown to play an essential role in the formation of collagenous scars, as well as in the pathogenesis of myocardial fibrosis (44,45).
In conclusion, the present study demonstrated that the rs1056629 SNP located in MMP-9 3′UTR affected the risk of developing VAP. The possible mechanisms underlying such observations are that the C-to-A substitution of rs1056629 SNP affects the binding of miR-491 to MMP-9 3′UTR, leading to MMP-9 overexpression and a higher risk of developing VAP. Thus, the rs1056629 SNP of MMP-9 may be used as an important biomarker to determine the susceptibility to VAP.
Acknowledgements
Not applicable.
Funding
The present study was sponsored by the Qinghai Provincial Fourth People's Hospital Research Fund (Project no. 2017-14).
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
WM and XL designed the study. XC, WS and LZ performed the literature search for the study. All authors (WM, XC, WS, LZ, BF, SZ, HL, HW, WW and XL) performed the experiments and collected the data. XC, BF, SZ and HL analyzed the data and prepared the figures. WW, WM, XC and XL composed the manuscript. HW, WW and WS corrected the language. WM and XL confirm the authenticity of all the raw data. All authors have read and approved the final manuscript.
Ethics approval and consent to participate
The protocol of the study, as well as the template of informed consent form (ICF) was reviewed and approved by the Clinical Ethics Committee of our Qinghai Red Cross Hospital for the retrospective use of these blood samples, and written informed consent was obtained from all subjects or their family members prior to the initialization of the study.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Glossary
Abbreviations
Abbreviations:
VAP |
ventilator-associated pneumonia |
CPIS |
clinical pulmonary infection score |
PBMCs |
peripheral blood monocytes |
References
Hunter J, Annadurai S and Rothwell M: Diagnosis, management and prevention of ventilator-associated pneumonia in the UK. Eur J Anaesthesiol. 24:971–977. 2007. View Article : Google Scholar : PubMed/NCBI | |
Vincent JL: Ventilator-associated pneumonia. J Hosp Infect. 57:272–280. 2004. View Article : Google Scholar : PubMed/NCBI | |
Namath A and Patterson AJ: Genetic polymorphisms in sepsis. Crit Care Clin. 25835–856. (x)2009. View Article : Google Scholar : PubMed/NCBI | |
Zhang B, Pan X, Cobb GP and Anderson TA: microRNAs as oncogenes and tumor suppressors. Dev Biol. 302:1–12. 2007. View Article : Google Scholar : PubMed/NCBI | |
Gabriely G, Wurdinger T, Kesari S, Esau CC, Burchard J, Linsley PS and Krichevsky AM: MicroRNA 21 promotes glioma invasion by targeting matrix metalloproteinase regulators. Mol Cell Biol. 28:5369–5380. 2008. View Article : Google Scholar : PubMed/NCBI | |
Fan G, He Z, Cao L, Shi X, Wu S and Zhou G: miR-139 inhibits osteosarcoma cell proliferation and invasion by targeting ROCK1. Front Biosci (Landmark Ed). 24:1167–1177. 2019. View Article : Google Scholar : PubMed/NCBI | |
Lim LP, Lau NC, Garrett-Engele P, Grimson A, Schelter JM, Castle J, Bartel DP, Linsley PS and Johnson JM: Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs. Nature. 433:769–773. 2005. View Article : Google Scholar : PubMed/NCBI | |
Deveci M, Catalyürek UV and Toland AE: mrSNP: Software to detect SNP effects on microRNA binding. BMC Bioinformatics. 15:732014. View Article : Google Scholar : PubMed/NCBI | |
Tian X and Zhang X: A Single nucleotide polymorphism (rs1056629) in 3′-UTR of MMP-9 is responsible for a decreased risk of metastatic osteosarcoma by compromising its interaction with microRNA-491-5p. Cell Physiol Biochem. 38:1415–1424. 2016. View Article : Google Scholar : PubMed/NCBI | |
Yuan M, Zhan Q, Duan X, Song B, Zeng S, Chen X, Yang Q and Xia J: A functional polymorphism at miR-491-5p binding site in the 3′-UTR of MMP-9 gene confers increased risk for atherosclerotic cerebral infarction in a Chinese population. Atherosclerosis. 226:447–452. 2013. View Article : Google Scholar : PubMed/NCBI | |
Li YT, Wang YC, Lee HL, Lu MC and Yang SF: Elevated plasma matrix metalloproteinase-9 and its correlations with severity of disease in patients with ventilator-associated pneumonia. Int J Med Sci. 13:638–645. 2016. View Article : Google Scholar : PubMed/NCBI | |
Vandooren J, Van den Steen PE and Opdenakker G: Biochemistry and molecular biology of gelatinase B or matrix metalloproteinase-9 (MMP-9): The next decade. Crit Rev Biochem Mol Biol. 48:222–272. 2013. View Article : Google Scholar : PubMed/NCBI | |
Atkinson JJ and Senior RM: Matrix metalloproteinase-9 in lung remodeling. Am J Respir Cell Mol Biol. 28:12–24. 2003. View Article : Google Scholar : PubMed/NCBI | |
Chiang TY, Tsao SM, Yeh CB and Yang SF: Matrix metalloproteinases in pneumonia. Clin Chim Acta. 433:272–277. 2014. View Article : Google Scholar : PubMed/NCBI | |
Brown GM, Brown DM, Donaldson K, Drost E and MacNee W: Neutrophil sequestration in rat lungs. Thorax. 50:661–667. 1995. View Article : Google Scholar : PubMed/NCBI | |
Chen Z, Shao X, Dou X, Zhang X, Wang Y, Zhu C, Hao C, Fan M, Ji W and Yan Y: Role of the mycoplasma pneumoniae/interleukin-8/neutrophil axis in the pathogenesis of pneumonia. PLoS One. 11:e01463772016. View Article : Google Scholar : PubMed/NCBI | |
Zhou XY, Ben SQ, Chen HL and Ni SS: A comparison of APACHE II and CPIS scores for the prediction of 30-day mortality in patients with ventilator-associated pneumonia. Int J Infect Dis. 30:144–147. 2015. View Article : Google Scholar : PubMed/NCBI | |
Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar : PubMed/NCBI | |
Fan Y, Gao F, Wu Y, Zhang J, Zhu M and Xiong L: Does ventilator-associated event surveillance detect ventilator-associated pneumonia in intensive care units? A systematic review and meta-analysis. Crit Care. 20:3382016. View Article : Google Scholar : PubMed/NCBI | |
Craven DE, Hudcova J and Lei Y: Diagnosis of ventilator-associated respiratory infections (VARI): Microbiologic clues for tracheobronchitis (VAT) and pneumonia (VAP). Clin Chest Med. 32:547–557. 2011. View Article : Google Scholar : PubMed/NCBI | |
Rosell A, Cuadrado E, Ortega-Aznar A, Hernández-Guillamon M, Lo EH and Montaner J: MMP-9-positive neutrophil infiltration is associated to blood-brain barrier breakdown and basal lamina type IV collagen degradation during hemorrhagic transformation after human ischemic stroke. Stroke. 39:1121–1126. 2008. View Article : Google Scholar : PubMed/NCBI | |
Lakhan SE, Kirchgessner A, Tepper D and Leonard A: Matrix metalloproteinases and blood-brain barrier disruption in acute ischemic stroke. Front Neurol. 4:322013. View Article : Google Scholar : PubMed/NCBI | |
Boroujerdi A, Welser-Alves JV and Milner R: Matrix metalloproteinase-9 mediates post-hypoxic vascular pruning of cerebral blood vessels by degrading laminin and claudin-5. Angiogenesis. 18:255–264. 2015. View Article : Google Scholar : PubMed/NCBI | |
Chen F, Eriksson P, Hansson GK, Herzfeld I, Klein M, Hansson LO and Valen G: Expression of matrix metalloproteinase 9 and its regulators in the unstable coronary atherosclerotic plaque. Int J Mol Med. 15:57–65. 2005.PubMed/NCBI | |
Hu J, Van den Steen PE, Sang QX and Opdenakker G: Matrix metalloproteinase inhibitors as therapy for inflammatory and vascular diseases. Nat Rev Drug Discov. 6:480–498. 2007. View Article : Google Scholar : PubMed/NCBI | |
Ram M, Sherer Y and Shoenfeld Y: Matrix metalloproteinase-9 and autoimmune diseases. J Clin Immunol. 26:299–307. 2006. View Article : Google Scholar : PubMed/NCBI | |
Ahrens D, Koch AE, Pope RM, Stein-Picarella M and Niedbala MJ: Expression of matrix metalloproteinase 9 (96-kd gelatinase B) in human rheumatoid arthritis. Arthritis Rheum. 39:1576–1587. 1996. View Article : Google Scholar : PubMed/NCBI | |
Chang YH, Lin IL, Tsay GJ, Yang SC, Yang TP, Ho KT, Hsu TC and Shiau MY: Elevated circulatory MMP-2 and MMP-9 levels and activities in patients with rheumatoid arthritis and systemic lupus erythematosus. Clin Biochem. 41:955–959. 2008. View Article : Google Scholar : PubMed/NCBI | |
Lakatos G, Sipos F, Miheller P, Hritz I, Varga MZ, Juhasz M, Molnar B, Tulassay Z and Herszenyi L: The behavior of matrix metalloproteinase-9 in lymphocytic colitis, collagenous colitis and ulcerative colitis. Pathol Oncol Res. 18:85–91. 2012. View Article : Google Scholar : PubMed/NCBI | |
Peterson JT: The importance of estimating the therapeutic index in the development of matrix metalloproteinase inhibitors. Cardiovasc Res. 69:677–687. 2006. View Article : Google Scholar : PubMed/NCBI | |
Ben David D, Reznick AZ, Srouji S and Livne E: Exposure to pro-inflammatory cytokines upregulates MMP-9 synthesis by mesenchymal stem cells-derived osteoprogenitors. Histochem Cell Biol. 129:589–597. 2008. View Article : Google Scholar : PubMed/NCBI | |
Ben-David D, Livne E and Reznick AZ: The involvement of oxidants and NF-kB in cytokine-induced MMP-9 synthesis by bone marrow-derived osteoprogenitor cells. Inflamm Res. 61:673–688. 2012. View Article : Google Scholar : PubMed/NCBI | |
Ordas I, Eckmann L, Talamini M, Baumgart DC and Sandborn WJ: Ulcerative colitis. Lancet. 380:1606–1619. 2012. View Article : Google Scholar : PubMed/NCBI | |
Schaaf B, Liebau C, Kurowski V, Droemann D and Dalhoff K: Hospital acquired pneumonia with high-risk bacteria is associated with increased pulmonary matrix metalloproteinase activity. BMC Pulm Med. 8:122008. View Article : Google Scholar : PubMed/NCBI | |
El Solh AA, Akinnusi ME, Wiener-Kronish JP, Lynch SV, Pineda LA and Szarpa K: Persistent infection with pseudomonas aeruginosa in ventilator-associated pneumonia. Am J Respir Crit Care Med. 178:513–519. 2008. View Article : Google Scholar : PubMed/NCBI | |
El-Solh AA, Amsterdam D, Alhajhusain A, Akinnusi ME, Saliba RG, Lynch SV and Wiener-Kronish JP: Matrix metalloproteases in bronchoalveolar lavage fluid of patients with type III Pseudomonas aeruginosa pneumonia. J Infect. 59:49–55. 2009. View Article : Google Scholar : PubMed/NCBI | |
Ito A, Mukaiyama A, Itoh Y, Nagase H, Thogersen IB, Enghild JJ, Sasaguri Y and Mori Y: Degradation of interleukin 1beta by matrix metalloproteinases. J Biol Chem. 271:14657–14660. 1996. View Article : Google Scholar : PubMed/NCBI | |
Schönbeck U, Mach F and Libby P: Generation of biologically active IL-1 beta by matrix metalloproteinases: A novel caspase-1-independent pathway of IL-1 beta processing. J Immunol. 161:3340–3346. 1998.PubMed/NCBI | |
Amantea D, Russo R, Certo M, Rombola L, Adornetto A, Morrone LA, Corasaniti MT and Bagetta G: Caspase-1-independent maturation of IL-1β in ischemic brain injury: Is there a role for gelatinases? Mini Rev Med Chem. 16:729–737. 2016. View Article : Google Scholar : PubMed/NCBI | |
Wittmann M, Kingsbury SR and McDermott MF: Is caspase 1 central to activation of interleukin-1? Joint Bone Spine. 78:327–330. 2011. View Article : Google Scholar : PubMed/NCBI | |
Saren P, Welgus HG and Kovanen PT: TNF-alpha and IL-1beta selectively induce expression of 92-kDa gelatinase by human macrophages. J Immunol. 157:4159–4165. 1996.PubMed/NCBI | |
Gearing AJ, Beckett P, Christodoulou M, Churchill M, Clements J, Davidson AH, Drummond AH, Galloway WA, Gilbert R, Gordon JL, et al: Processing of tumour necrosis factor-alpha precursor by metalloproteinases. Nature. 370:555–557. 1994. View Article : Google Scholar : PubMed/NCBI | |
Yu Q and Stamenkovic I: Cell surface-localized matrix metalloproteinase-9 proteolytically activates TGF-beta and promotes tumor invasion and angiogenesis. Genes Dev. 14:163–176. 2000.PubMed/NCBI | |
Rainer PP, Hao S, Vanhoutte D, Lee DI, Koitabashi N, Molkentin JD and Kass DA: Cardiomyocyte-specific transforming growth factor β suppression blocks neutrophil infiltration, augments multiple cytoprotective cascades, and reduces early mortality after myocardial infarction. Circ Res. 114:1246–1257. 2014. View Article : Google Scholar : PubMed/NCBI | |
Dayer C and Stamenkovic I: Recruitment of matrix metalloproteinase-9 (MMP-9) to the fibroblast cell surface by lysyl hydroxylase 3 (LH3) triggers transforming growth factor-β (TGF-β) activation and fibroblast differentiation. J Biol Chem. 290:13763–13778. 2015. View Article : Google Scholar : PubMed/NCBI |