Background
Community-acquired pneumonia (CAP) is an infectious lung disease and particularly affects children under 5 years of age [
1‐
3]. Severe CAP is also a leading cause of childhood morbidity and mortality worldwide, with an estimated 120 million cases per year, of which about 1.3 million cases cause mortality [
4]. Children with severe pneumonia often develop various sequelae, including chronic obstructive pulmonary diseases (COPD), bronchiolitis obliterans (BO), pulmonary fibrosis, bronchiectasis, and asthma [
5‐
7]. The cause of childhood pneumonia is complicated. Viral and bacterial infections were the primary environmental cause of severe pneumonia [
8].
The matrix metallopeptidase 9 (MMP9) is a member of the matrix metalloproteinase (MMP) enzyme family, which is defined by the zinc ion in the catalytic domain [
9]. The MMP enzyme family plays an essential role in the degradation and regulation of extracellular matrix (ECM) proteins [
10]. MMP9 belongs to the gelatinase subtype of MMP [
11], and is involved in multiple biological processes including proteolytic ECM degradation [
12], cell migration and invasion [
13], cell adhesion [
14], cell interaction [
15], apoptosis [
16], and angiogenesis [
17]. Notably, circulating MMP9 level has been reported as a biomarker for severe CAP [
18], COVID-19 [
19], ventilator-associated pneumonia [
20] and acute respiratory distress syndrome (ARDS) [
21]. Mechanistically, MMP9 may contribute to inflammation by promoting the infiltration of leukocyte and proinflammatory macrophages, as demonstrated in experimental glomerulonephritis [
22]. A recent study showed that the skin lesion infiltrating neutrophils in psoriasis overexpressed the
MMP9 gene and secreted MMP9 protein. MMP9 activates vascular endothelial cells through MAPK signaling pathways and enhances CD4
+T cell transmigration in psoriatic pathogenesis [
23].
It has been shown that polymorphism in
MMP9 were associated with breast cancer risk [
24] and chronic venous disease [
25]. In addition,
MMP9 polymorphism has been suggested to play protective roles in diabetic microvascular complications and pressure ulcers [
26,
27]. In summary, MMP9 is associated with inflammatory diseases and is a biomarker for severe pneumonia. However, the associations between
MMP9 polymorphism and severe childhood pneumonia need further elucidation.
In order to further investigate the association between MMP9 polymorphism and CAP susceptibility, we conducted a case-control study including a South Chinese population with 1034 cases and 8624 controls to verify the effects of selected SNP. Our results suggest epistatic association of MMP9 rs3918262 SNPs and severe childhood pneumonia.
Methods
Study subjects
We recruited 1034 cases and 8624 controls from Guangzhou Women and Children’s Medical Center. Remnant venous blood samples after clinical examination were collected from the patients. The study was approved by the Medical Ethics Committees of the recruiting hospitals (BF2022-257–01, 2016111853, KY-Q-2021–165-02). Information on demographic characteristics, disease severity, and pathogens were retrieved from each patient’s electronic medical record (EMR).
Inclusion and exclusion criteria of the study subjects
The inclusion criteria for cases were as follows: (1) Age < 16 years old; (2) Patients who were diagnosed with severe pneumonia or non-severe pneumonia according to a published criteria [
28]: (a) invasive mechanical ventilation; (b) fluid refractory shock; (c) acute need for noninvasive positive-pressure ventilation; and (d) hypoxemia requiring a fraction of inspired oxygen (FiO
2) > inspired concentration or flow feasible in the general-care area.
The exclusion criteria were as follows: (1) known or suspected active tuberculosis; (2) primary immunodeficiency; (3) acquired immunodeficiency syndrome (AIDS) and immunosuppressive medications taken before admission; (4) lack of eligible data or blood samples. Control subjects were recruited from the physical examination centers without a medical history of pneumonia, respiratory diseases, immunodeficiency, and autoimmune disease.
Severe pneumonia was further categorized into two subtypes: Diagnosis as primary pneumonia was defined as primary pneumonia caused by pathogens such as viruses, bacteria, fungus, or mycoplasma. Diagnosis as secondary severe pneumonia was defined as secondary pneumonia caused by other diseases such as cardiovascular diseases or injury.
DNA extraction and genotyping
Genomic DNA from the venous blood samples were extract by TIANamp Blood DNA Kits (Tiangen Biothch, DP335-02, Beijing, China) kit according to the manufacturer’s instructions. The purity and concentrations of DNA were examined by a NanoPhotometer ® N50 (Implen GmbH., Munich, Germany). Then extracted DNA was amplified by an ABI-7900 real-time quantitative PCR instrument (Applied Biosystems, Foster City, CA, USA).
SNP based association analysis
Common SNPs within ± 5 kb flanking of
MMP9 were retrieved from “dbSnp153Common” database by using UCSC hgTable, and filtered by the minor allele frequency (MAF > 0.05) in the East Asian (EAS) population. The pairwise linkage disequilibrium (LD) between SNPs were accessed in 1000 Genome EAS population and visualized as LD heatmap by using R package “LDheatmap” [
29]. A
R2 > 0.8 was viewed as high LD. Tag-SNPs were selected as the minimal set of independent SNPs that represent all SNPs in each LD block.
SNP genotyping and quality control
A Common
MMP9 variants were selected using the GTEx portal website (
http://www.gtexportal.org/home/) to predict potential associations between the SNP and
MMP9 expression levels. For the 1034 severe childhood pneumonia cases and 8624 controls, SNPs were genotyped using a MassARRAY iPLEX Gold system (Sequenom). Hardy–Weinberg equilibrium tests were performed.
Statistical analysis
The χ2 test was applied to test the SNP genotypes for Hardy–Weinberg equilibrium in the control population. The allelic association test examined the difference in allelic frequency distribution between cases and controls. Univariate and multivariate logistic regression models were used to examine the association between genotypes and phenotypes under multiple genetic models, such as additive, codominant, and dominant models. Age and sex were adjusted in the multivariate logistic regression. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated as the effect sizes. P < 0.05 was deemed statistically significant. All analyses were performed by using PLINK (v1.9b).
MMP9 levels measured by ELISA
Criteria for pneumonia severity and the collection of bronchoalveolar lavage samples were described in our previous study [
30]. Bronchoalveolar lavage samples were collected from patients who diagnosed as primary pneumonia and grouped as severe and non-severe patients according to the criteria above. BAL samples were centrifuged at 12,000 rpm for 5 min, and the supernatant was stored at -40 °C until subsequent measurement in ELISA. The expression level of MMP9 was detected according to the manufacturer’s instructions. Briefly, 100 μl of BAL supernatant was added to an antigen-coated plate and incubated with biotinylated detection antibodies and HRP-conjugated molecules. After a 20-min incubation with substrate reagents, the absorbance was measured at 450 nm using an enzyme-linked immunosorbent assay reader (Thermo), and the grouping criteria were the same as before. Non-parametric Kruskal–Wallis test was utilized to compare the differences among the control group, mild pneumonia group, and severe pneumonia group, and
p-value < 0.05 was considered statistically significant.
Discussion
Community-acquired pneumonia is a common cause of morbidity and mortality in children under 5 years [
31]. Although most of the cases are self-limiting disease, around 13% of severe pneumonia cases in PICU unfortunately pass away [
32]. Serious sequelae, such as bronchiolitis obliterans (BO), pulmonary fibrosis and bronchiectasis [
5‐
7], are another burden for those who recover from severe pneumonia. Risk factors of severe pneumonia are numerous, including age, immunodeficiencies, malnutrition, chronic lung diseases, and cystic congenital thoracic malformations [
33]. Previous research has documented the existence of gender disparities in community-acquired pneumonia [
34]. Consistent with these findings, our cohort also exhibited a gender distinction, as over 50% of the patients were male.
The matrix metalloproteinase (MMP) family plays essential roles in lung organogenesis and the pathogenesis of inflammatory diseases [
35]. Dysregulation of MMP contributes to a series of lung tissue damage and disorders such as asthma [
36], idiopathic pulmonary fibrosis (IPF) [
37], emphysema [
38], ARDS [
39] and COPD [
40]. MMP are also involved in the remodeling of lung after inflammation [
41,
42]. Among MMP family members, matrix metalloproteinase MMP9 is enriched in lungs of asthma, IPF and COPD, and also promotes lung remodeling [
43]. Associations are also found for
MMP9 polymorphisms with lung cancer [
44], COPD [
45] and asthma [
46].
In this study, we first screened the common SNP within
MMP9 gene and located 6 candidate SNPs (Table S
1). Then we identified rs3918262 and rs17577 as priority SNP by RegulomeDB and FORGEdb analysis (Table
2). Notably, our study showed that the G allele frequency of rs3918262 was significantly associated with increased risk of severe pneumonia (Table
3). No previous study has mentioned the function of this allele. Moreover, rs3918262 showed evidence of a trend towards significance between patients primary or secondary diagnosed as severe or pneumonia (Table
4). Secondary pneumonia was defined as pneumonia caused by non-respiratory reasons [
47]. This finding suggests that the minor allele of G of rs3918262 is potentially associated with infections.
From expression quantitative trait loci (eQTL) analysis, we found SNP rs17477 and rs3918262 of
MMP9 gene potential regulatory effect on
MMP9 or CD40 expression. As CD40 gene is located downstream of the
MMP9 gene and in its vicinity, these SNPs may influence the expression of the CD40 gene. In addition, CD40 has been reported to be associated with inflammatory immune diseases such as Kawasaki disease [
48], suggesting its potential relevance in regulating pneumonia as well. Most of the alleles exhibit up-regulated effects as the effect sizes were > 0. However, no significant difference was detected in lung tissue. Nevertheless, results from other organs suggest that these SNPs may up-regulate the protein expression of MMP9 or CD40.
Additionally, eQTL, RegulomeDB and FORGEdb results suggest that rs17577, which is located in the coding region of
MMP9 gene, had strong regulatory potential on gene expression. Rs17577 was reported to be associated with pediatric asthma [
49,
50], breast cancer [
51], and ischemic stroke [
52] etc. Although the
P-value (
P = 0.0198) of rs17577 SNP between control and pneumonia group did not meet the threshold (0.00083) of Bonferroni’s correction, this SNP may have important impact on
MMP9 expression and potentially was a risk factor of severe pneumonia. It should be noted that no previous study reported about the regulatory functions of the minor allele of G of rs3918262.
Finally, we measure the MMP9 protein levels in the BAL of children with severe or non-severe pneumonia. Results showed that the MMP9 concentrations were up-regulated in severe patients (Fig.
2). In the literature, MMP9 is produced by activated alveolar macrophages and neutrophils, catalyzes the proteolysis of the extracellular matrix and plays a role in leukocyte migration [
53,
54]. Taken together with our regulatory results, MMP9 SNPs may contribute to severe pneumonia susceptibility through regulatory properties which may impact
MMP9 translational efficiency and protein level. However, these remain to be investigated experimentally in the future. Finally, we demonstrated that protein levels of MMP9 were significantly increased in the BAL of patient with severe pneumonia, suggesting that
MMP9 polymorphism may associated with the expression levels of MMP9 in severe pneumonia.
There are some limitations for this study. First, only children were included in our cohort which may reduce the statistical power of the study. Second, the regulatory effects of the SNPs should be validated by subsequent experiments. Finally, only Chinese Han subjects from Southern China were enrolled in this study, and the conclusions should be extrapolated to other ethnic groups with caution.
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