High concentrations of middle ear antimicrobial peptides and proteins and proinflammatory cytokines are associated with detection of middle ear pathogens in children with recurrent acute otitis media
Authors:
Elke J. Seppanen aff001; Ruth B. Thornton aff001; Karli J. Corscadden aff001; Caitlyn M. Granland aff001; Julie Hibbert aff003; Angela Fuery aff004; Selma P. Wiertsema aff004; Shyan Vijayasekaran aff005; Harvey L. Coates aff006; Peter Jacoby aff001; Andrew Currie aff003; Peter C. Richmond aff001; Lea-Ann S. Kirkham aff001
Authors place of work:
Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Western Australia, Australia
aff001; School of Biomedical Sciences, Faculty Health and Medical Science, University of Western Australia, Perth, Western Australia, Australia
aff002; Centre for Neonatal Research and Education, Faculty Health and Medical Science, University of Western Australia, Perth, Western Australia, Australia
aff003; School of Medicine, Division of Paediatrics, Faculty Health and Medical Science, University of Western Australia, Perth, Western Australia, Australia
aff004; Perth Children’s Hospital, Perth, Western Australia, Australia
aff005; School of Medicine, Otolaryngology Unit, Faculty Health and Medical Science, University of Western Australia, Perth, Western Australia, Australia
aff006; Medical, Molecular & Forensic Sciences, Murdoch University, Perth, Western Australia, Australia
aff007; Centre for Child Health Research, University of Western Australia, Perth, Western Australia, Australia
aff008
Published in the journal:
PLoS ONE 14(12)
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0227080
Summary
Recurrent and chronic otitis media (OM) are often refractory to antibiotics due to bacterial persistence in biofilm within the middle ear. In vitro and in vivo studies have demonstrated that antimicrobial proteins and peptides (AMPs) are bactericidal against otopathogens, indicating potential therapeutic value for recalcitrant OM. We measured concentrations of 6 AMPs and 14 cytokines in middle ear effusion (MEE) from 67 children undergoing ventilation tube insertion for recurrent acute OM. Sixty one percent of children had bacterial otopathogens detected in their MEE, 39% by PCR and 22% by PCR and culture. Groups were defined as: PCR-negative/culture-negative (absence of bacterial otopathogen), n = 26; PCR-positive/culture-negative (presence of nonculturable bacterial otopathogen), n = 26; PCR-positive/culture-positive (presence of culturable bacterial otopathogen), n = 15. Age, antibiotic usage, day-care attendance, presence of respiratory viruses in MEE and number of AOM episodes were similar between groups. AMP and cytokine concentrations were higher in children with bacterial otopathogens in their MEE compared to those with no bacterial otopathogens. Median concentrations of AMPs (except HBD2) were 3 to 56-fold higher in MEE from children with bacterial otopathogens detected in their MEE (P ≤ 0.01). Similarly, median cytokine concentrations (except TGFβ) were >16-fold higher in MEE with bacterial otopathogens detected (P ≤ 0.001). This is the first study to measure AMPs in MEE and together with the cytokine data, results suggest that elevated AMPs and cytokines in MEE are a marker of inflammation and bacterial persistence. AMPs may play an important role in OM pathogenesis.
Keywords:
Bacterial pathogens – Cytokines – antibiotics – children – Bacterial biofilms – Inflammatory diseases – Pathogenesis – Middle ear
1 Introduction
Otitis media (OM) is a common paediatric disease, and in high income countries OM is the primary reason that young children visit their General Practitioner, are prescribed antibiotics and undergo surgery [1]. Complications from recurrent and/or chronic OM include hearing loss and speech delay [2]. These sequelae contribute to a significant social and economic burden of OM on families and healthcare systems [3, 4]. Both bacteria and viruses are implicated in OM aetiology [5], with bacteria more often associated with chronic and recurrent OM [6]. The major bacterial species that are associated with OM are nontypeable Haemophilus influenzae (NTHi), Streptococcus pneumoniae and Moraxella catarrhalis, with NTHi being the most frequently detected species from the middle ear of children with recurrent and chronic OM [6]. Bacterial otopathogens can resist host immune responses and antibiotics through persistence mechanisms such as the ability to form and maintain biofilm [7, 8]. To reduce the global burden of OM, especially recurrent and chronic OM, new strategies that target bacterial otopathogens are urgently required.
Antimicrobial peptides and proteins (AMPs), otherwise known as host defence peptides, are rapid mediators of the innate immune system with broad-spectrum antimicrobial, antibiofilm and chemotactic activity that can influence the microbiota of mucosal surfaces [9–11]. There is compelling evidence from microbiological assays and animal models demonstrating direct and indirect roles for AMPs in OM pathogenesis [12–17]. For example, modulating the availability of AMPs has been shown to influence otopathogen clearance in the chinchilla model of OM. Reducing the availability of chinchilla beta-defensin 1 (equivalent to human beta-defensin 3) through RSV co-infection or with a blocking antibody resulted in increased NTHi loads from nasopharyngeal lavage fluids while increasing the availability of chinchilla beta-defensin 1, via delivery of a recombinant form, was associated with reduced NTHi loads [14]. Furthermore, in the junbo mouse model of OM, deletion of the gene encoding an AMP from the bactericidal permeability increasing (BPI) family (BPIFA1) resulted in exacerbation of OM severity due to increased epithelial remodelling [15]. Based on this, Mulay et al suggest that AMPs play a homeostatic role in maintaining healthy middle ear epithelium. Formulations of AMPs that could be applied intranasally or through the tympanic membrane (either via ventilation tubes, perforations or even through transmembrane adsorption) offer a potential antimicrobial therapy for children with recurrent and chronic OM, which may also reduce antibiotic use and curb the global rise in antibiotic resistance [10, 18, 19]. However, the direct measurement of AMPs in the middle ear of children with recurrent and chronic OM has not been reported before. This is critical to understand the relationship between AMPs and OM pathogenesis and to assess the potential use of these small molecules as therapeutic agents.
This study measured the concentrations of six AMPs in middle ear effusion (MEE) samples from children with a history of recurrent acute OM (rAOM). We hypothesised that children with no bacterial otopathogens detected in their MEE would have higher AMP titres than children with bacterial otopathogens in the MEE, due to the demonstrated antimicrobial activity of AMPs. We also measured a panel of fourteen cytokines in MEE from the same children to assess inflammatory responses and because there is important interplay between AMPs and pro-inflammatory cytokines particularly in epithelial cell and monocyte responses [17, 20, 21]. Cytokines, particularly those involved in the innate immune response, are integral for pathogen clearance and orchestrating down-stream adaptive responses. While there have been a number of earlier studies measuring middle ear cytokine responses in paediatric OM samples [22–25], studies were limited to measuring one or two cytokines in each cohort, most likely due to limited sample volume and use of ELISAs rather than multiplexed small volume bead-based immunoassays. Thus, we used multiplexed small volume bead-based immunoassays to measure a panel of 6 AMPs and 14 cytokines in MEE. We then assessed the concentrations of these important mediators in the context of otopathogen detection by comparing the following groups: 1) absence of bacterial otopathogen 2) presence of nonculturable but live bacterial otopathogen and 3) presence of culturable bacterial otopathogen in MEE, to understand the role of inflammation and innate immunity in the pathogenesis of recurrent OM.
2 Methods
2.1 Study cohort
This study used MEE samples collected from children enrolled in the GROMIT study [26]. All children had a history of rAOM and were undergoing ventilation tube insertion at the time of MEE collection. Age, gender, antibiotic usage currently and in the previous month before surgery, mean number of AOM episodes, day-care attendance (>4 hours per week), exposure to cigarette smokeand PCV vaccine status (received 3 doses of PCV7 or not) were recorded. Culture and PCR of MEE for the major bacterial otopathogens and respiratory viruses has been previously reported [26, 27]. Of the 186 children undergoing ventilation tube insertion in the original cohort, MEE was available for 67 children for this study due to sample volume remaining after primary outcomes were assessed. Of the 67 children in this study, questionnaire data was available for 59/67. This study was approved by the Ethics Committee of Princess Margaret Hospital for Children, Perth, Western Australia (EP1295) and by ethics committees and the institutional boards of the hospitals where recruitment took place. Written informed consent was obtained from parents of participating children before any study procedures were performed.
2.2 Collection, processing and storage of middle ear effusion
MEE samples were collected from anaesthetised children as previously described [26]. In brief, a sterile Argyle specimen trap (Covidien, Ireland) was connected to the surgical suction system to remove the MEE though the myringotomy incision. The tubing was rinsed with sterile saline to ensure that all MEE was collected. The MEE was placed on ice and transported to the laboratory within 4h where the sample was vortexed vigorously and 200μl transferred into media for bacteriological culture. The remaining MEE was transferred into 200μl aliquots and stored at -80°C for detection of respiratory viruses [27], and measurement of total protein [28], antibody [29], AMP and cytokine titres.
2.3 Quantification of AMP and cytokine concentrations in MEE
An aliquot of MEE was thawed and used to quantify the following AMPs: Human beta defensin 1 (HBD1), Human beta defensin 2 (HBD2), LL-37, lactoferrin, bactericidal/permeability-increasing protein (BPI) and secreted phospholipase A2 (sPLA2). HBD1, HBD2, LL-37 and lactoferrin levels were measured using in-house multiplex fluorescent bead-based assays on the Bio-Plex® 200 system (Bio-Rad Laboratories, California, USA) [30]. BPI and sPLA2 levels were measured using commercial ELISA kits (Hycult Biotech, Plymouth Meeting, PA, USA, and Cayman Chemical, Ann Arbor, MI, USA, respectively) and according to the manufacturers’ instructions.
Fourteen cytokines were quantified in another aliquot of thawed MEE: IL-1α, IL-1β, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-13, IL-17A, IFNγ, TNFα and TFGβ1, 2 and 3. IL-1β, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-13, IL-17A, IFNγ, and TNFα levels (pg/mL) were measured using an in-house multiplex cytokine bead assay on the Bio-Plex® 200 system (Bio-Rad Laboratories, California, USA) using previously published methods [31]. TFGβ1, 2 and 3 and IL-1α (pg/mL) levels were measured using commercial Luminex and ELISA kits respectively (R and D systems, Minneapolis, USA) according to the manufacturers’ instructions. Levels in pg/mL were generated from a seven-point, four and five-parameter logistic standard curves. AMP and cytokine levels that were below the limit of detection were assigned a value that was half of the lowest detectable amount of mediator specific for each assay.
Total protein was previously determined in each MEE sample using the Micro BCA Protein Assay Kit and according to the manufacturers’ instructions (Thermo Scientific, Rockford, IL, USA) [28]. Levels of AMPs and cytokines were normalised to total protein in MEE (pg of mediator/mg of protein). Samples that were below the limit of detection were reassigned a value that was the lowest concentration based on half the limit of detection normalised to total protein. Assigned limit of quantification were as follows: HBD1 = 2.84 pg/mg of protein; LL-37 = 507.8 pg/mg of protein; BPI = 12.45 pg/mg of protein; sPAL2 = 1.88 pg/mg of protein; IL-1β, IL-5, IL-12p70, IFNγ and TNFα = 0.09 pg/mg of protein; IL-6 and IL-10 = 0.57 pg/mg of protein; IL-8 = 3.17 pg/mg protein; IL-13 and IL-17A = 0.18 pg/mg of protein; TFGβ1 = 3.51pg/mg protein; TFGβ2 = 1.35pg/mg protein TFGβ3 = 5 pg/mg protein and IL-1a = 0.32 pg/mg protein.
2.4 Statistical analyses
Statistical analyses were performed using the IBM SPSS® software platform version 24. Population demographics were compared between the 3 groups of children: 1) PCR-ve/culture-ve, 2) PCR+ve/culture-ve and 3) PCR+ve/culture+ve, using Kruskal-Wallis tests for continuous variables (age, number of AOM episodes) and Pearson Chi-square analysis (P-value asymptotic significant 2-sided) for categorical variables (gender, day-care attendance, antibiotic usage, respiratory virus presence and bacterial otopathogen presence). Data were checked for normal distribution. AMP and cytokine levels were compared between PCR-ve/culture-ve; PCR+ve/culture-ve; PCR+ve/culture+ve children using Kruskal-Wallis tests with post-hoc pairwise comparisons for non-parametric data.
3 Results
3.1 Population demographics
The 67 children in this study were divided into three groups based on bacterial otopathogen detection of NTHi, S. pneumoniae and/or M. catarrhalis in MEE by PCR and culture as shown in Table 1. Groups included: PCR-negative/culture-negative (absence of bacterial otopathogen), n = 26; PCR-positive/culture-negative (presence of nonculturable bacterial otopathogen), n = 26; PCR-positive/culture-positive (presence of culturable bacterial otopathogen), n = 15. Median age, gender, recent and current antibiotic usage, mean number of AOM episodes and day-care attendance were similar across groups. The proportion of children on current antibiotics was not statistically different across groups. When current antibiotic usage was compared between children with PCR+ve/culture-ve MEE to those with PCR+ve/culture+ve MEE, there was a trend for fewer positive cultures from children who were on antibiotics at the time of ventilation tube insertion; P = 0.07). Ninety-seven percent of children had received all 3 doses of the 7-valent pneumococcal conjugate vaccine according to the Australian immunisation schedule. Nucleic acid from at least one of 11 common upper respiratory tract viruses was detected in 54 of the 67 children. The frequency of respiratory virus detection was similar between all 3 groups: PCR-ve/culture-ve = 73.1%, PCR+ve/culture-ve = 80.8% and PCR+ve/culture+ve 93.3% (Table 1). However, the proportion of children with respiratory virus in their MEE incrementally increased (not significantly) when bacterial otopathogen was detected by PCR and then by both PCR and culture. When bacterial otopathogen was detected by culture it was always detected by PCR. NTHi was the predominant otopathogen detected by PCR with 80.4% of children harbouring this pathogen. M. catarrhalis and S. pneumoniae were detected in 21.6% and 19.1% of children respectively (Table 1).
3.2 AMP levels in MEE from children with a history of rAOM were higher when bacterial otopathogen/s were also detected in their MEE
All of the 6 AMPs tested could be measured and most children had levels of each AMP above the limit of detection for each assay. Except for HBD2, median concentrations were significantly higher in MEE from children that had detectable bacterial otopathogen by PCR and were highest in children with otopathogen that could be detected in their MEE by both PCR and culture (P ≤ 0.01; Fig 1). Median concentrations of HBD1 were approximately 3-fold higher in PCR+ve/culture+ve MEE compared to PCR-ve/culture-ve MEE (P = 0.002). Median titres of lactoferrin were 9-fold higher in PCR+ve/culture+ve compared to PCR-ve/culture-ve MEE (P < 0.0001), and 6-fold higher in PCR+ve/culture-ve compared to PCR-ve/culture-ve MEE (P = 0.022). Median concentrations of LL-37, BPI and sPLA2 were 15-, 12- and 56-fold higher respectively in PCR+ve/culture+ve MEE compared to PCR-ve/culture-ve MEE (P < 0.0001; P < 0.0001; P = 0.012). LL-37 and sPLA2 levels were 5- and 56-fold higher (respectively) in PCR+ve/culture-ve MEE compared to MEE from children with no bacterial otopathogen detected (PCR-ve/culture-ve MEE), P = 0.018; P = 0.015. Median BPI levels were 4-fold higher in PCR+ve/culture-ve MEE compared to PCR-ve/culture-ve MEE (P = 0.015) and 3-fold higher in PCR+ve/culture+ve MEE compared to PCR+ve/culture-ve MEE (P = 0.006). Median concentrations of HBD2 were approximately 2-fold higher in PCR+ve/culture+ve MEE compared to PCR-ve/culture-ve MEE but this was not significant.
3.3 Pro-inflammatory cytokine levels in MEE from children with a history of rAOM were higher when bacterial otopathogen was also detected in their MEE
IL-5, IL-13, and IFNγ were not detected in MEE and IL-17A was only detected in 1 child (7.1 pg/mg of protein). Concentrations of IL-1α, IL-1β, IL-6, IL-8, IL-10, IL-12p70 and TNFα were always significantly higher in MEE from children when bacterial otopathogen was detected by culture and PCR compared to when bacterial otopathogen was not detected (P < 0.001; Fig 2). Concentrations of IL-1α, IL-1β, IL-6, IL-8 and IL-10 were also at least 3-fold higher in MEE from children when bacterial otopathogen was detected by both PCR and culture (PCR+ve/culture+ve) compared to PCR only (PCR+ve/culture-ve; P ≤ 0.031). IL-1β, IL-6, IL-8 and IL-10 levels were at least 5-fold higher in PCR+ve/culture-ve MEE compared to PCR-ve/culture-ve MEE (P ≤ 0.044). IL-12p70 and TNFα were only measurable in 7/67 and 10/67 children respectively but these children all had detectable bacterial otopathogen in their MEE by both PCR and culture. Similarly, IL-1α was only measureable in 13/35 children but these children all had bacterial otopathogen detected by both PCR and culture or PCR alone. TGFβ3 was not detected in MEE while concentrations of TGFβ1 and TGFβ2 were similar across groups (Fig 2).
4 Discussion
In this study, we measured for the first time, a suite of 6 AMPs and 14 cytokines in MEE from children undergoing ventilation tube insertion for rAOM. AMP and cytokine concentrations were compared between children that had bacterial otopathogens present in their MEE compared to those who did not. While children with a history of rAOM do not undergo surgery during an acute episode of OM, and have often been on antibiotics within a month prior to or during surgery, a high proportion of children still have live (sometimes culturable) bacterial otopathogens in their MEE. Contrary to our hypothesis, levels of AMPs and cytokines were lowest in MEE from children with no bacterial otopathogen detected; while higher AMP and cytokine titres were observed in MEE from children with bacterial otopathogen detected by PCR, and the highest titres were found in MEE from children with bacterial otopathogen detected by both PCR and culture. This indicates endogenous AMP levels are not adequate to clear bacterial otopathogen or that bacterial persistence mechanisms are at play (e.g biofilms). This has implications for helping to understand rAOM pathogenesis and suggests that elevated concentrations of AMPs and pro-inflammatory cytokines in MEE may be a marker of inflammation associated with bacterial persistence and/or presence of neutrophil extracellular traps (NETs), which are decorated in AMPs [32].
OM pathogenesis is complex and multifactorial. Nasopharyngeal and middle ear biofilms are increasingly recognised as playing a central role in OM pathogenesis by providing a bacterial reservoir, enabling bacterial persistence and recurring or chronic infection [7, 33]. PCR is widely accepted as superior for detecting bacterial otopathogens in the middle ear as traditional culture techniques often return false-negative results due to bacteria surviving in non-culturable but viable states [34]. It should be noted that while PCR will also detect DNA from dead bacteria, it has been shown with live/dead staining that otopathogens are usually viable in culture-negative MEE [8]. Furthermore, it has been shown in animal models that DNA from dead bacteria is rapidly cleared from MEE [35]. Our data certainly reflect this with only 15 out of 41 children with PCR positive MEE having bacterial otopathogens cultured from their MEE. We speculate that children with culture-positive MEE likely had planktonic bacteria, released from biofilm, and this represented a state of active infection [36]. This may explain why these children also had the highest concentrations of AMPs and pro-inflammatory cytokines in their MEE.
Our finding, that a greater inflammatory cytokine response was associated with bacterial otopathogen detection, particularly NTHi, is supported by several studies. Firstly, in adults with chronic obstructive pulmonary disease (COPD), higher levels of LL-37, IL-8, TNFα and greater inflammatory infiltrate were found in sputum with culturable NTHi compared to culture-negative sputum [37]. Secondly, LL-37 and lactoferrin levels in serum and sputum from adults with bronchiectasis were higher when Pseudomonas aeruginosa and NTHi were also present in sputum [38]. Thirdly, in vitro assays using chinchilla middle ear epithelial cells have revealed that NTHi challenge results in upregulation of mRNA for the chinchilla equivalent of LL-37, cCRAMP, which has bactericidal activity against the three major otopathogens [13]. Finally, in children followed over an AOM episode, higher levels of IL-8 were associated with otopathogen culture-positive MEE and these levels dropped after bacterial eradication with antibiotic therapy [25]. Together these data demonstrate the important and ongoing contribution of innate immune responses to invading pathogens, specifically NTHi, in the middle ear of children with a history of rAOM. In order to understand the relationship between AMP and cytokine concentrations and otopathogen clearance from the middle ear, longitudinal studies using tympanocentesis during active and convalescent stages of OM and complementary in vitro and in vivo models are required [14, 39, 40].
Previous studies have implicated the TGF-β pathway and IL-1α actions in OM pathogenesis. In rat models of OM, microarray experiments have revealed that bacterial OM rather than Eustachian tube obstruction drives TGF-β signalling. Furthermore, NTHi OM rather than S. pneumoniae OM resulted in more potent middle ear granulation tissue formation [41]. In a large Western Australian cohort study of non-Aboriginal children, single nucleotide polymorphisms within FBX011, a gene that regulates TGF-β signalling, have been associated with severe OM [42]. In vitro studies have demonstrated that NTHi induces the secretion of IL-1α by human middle ear epithelial cells and that this acts synergistically with NTHi to upregulate HBD2 mRNA transcription [17]. Surprisingly, in our analysis, levels of TGF-β1, 2 and HBD2 were similar between all children and there was no association with bacterial otopathogen detection. However, HBD2 levels in MEE tended to be higher in children when otopathogen was also detected and this corresponded with significantly higher levels of IL-1α. We acknowledge that these unexpected results could be due to the fact that TGF-β1, 2, and 3 were measured in MEE from a small number of children in this study and thus not powered enough to see small differences. However, it is also possible that the TGF-β pathway is not a key player in children with a history of rAOM with potent inflammatory responses and perhaps, as Mulay et al., suggest TGF-β is more important in epithelial remodelling after resolution of inflammation [15].
The higher concentrations of AMPs and inflammatory cytokines associated with bacterial otopathogen detection in our study may be indicative of more severe or persistent disease and the presence of non-resolving NETs [8]. Although it should be noted that children with otopathogen negative MEE had some degree of clinical inflammation otherwise it would not have been possible to obtain MEE from these children. This could be due to other species of bacteria that were not measured or from viral pathogen exposure, as nucleic acid from common upper respiratory tract viruses were frequently detected in MEE from children without bacterial otopathogen. It is also well known that respiratory viruses can cause AOM in the absence of bacterial co-infection [5]. Even in the few studies where cytokines have been measured in MEE from children with OM in which bacterial versus viral aetiology was not determined, high levels of TNFα and IL-1β were correlated to more chronic OM [23, 24]. Furthermore`, higher levels of TNFα were found in MEE from children who had undergone repeat ventilation tube insertion [23], suggesting these children had more severe and recurrent disease. Similarly, in adults with COPD, higher levels of sputum LL-37, IL-8, TNFα, and a greater proportion of neutrophils were predictive of episodes of acute exacerbated COPD, the more severe form of COPD [37]. Most notably, resolution of inflammation following episodes of acute COPD exacerbation were associated with reduction or eradication of bacteria [43]. This may also hold true for children with recurrent and chronic OM where elimination of pathogenic bacteria from the middle ear will likely resolve inflammation, reduce disease chronicity and potentially even impact the high need for repeat ventilation tube insertion [44]. Thus, eliminating bacterial reservoirs from the middle ear of children with recurrent and chronic OM should be a major and continuing treatment focus.
Whether elimination of bacterial otopathogensfrom the middle ear of children could be achieved through application of AMP doses that exceed physiological levels through ventilation tubes as an adjunct to traditional antibiotic treatment remains elusive. Preclinical models have provided critical proof-of-concept data for the therapeutic application of AMPs. Synergy between synthetic AMPs and antibiotics have been more effective than antibiotics alone for reducing the severity of cutaneous abscesses in a murine infectious abscess model [45]. In chinchillas with experimental OM, NTHi density in the nasal passages, which confers OM development, could be reduced via intranasal application of a recombinant chinchilla beta-defensin 1 (cBD1) as well as the human ortholog HBD3, demonstrating the capacity of these innate molecules to clear bacterial otopathogen [14]. However, there are several caveats that need to be considered before AMPs are used as an adjunct therapy for children with recurrent and chronic OM. Firstly, the levels of AMPs that would be required to clear bacterial otopathogens in children are not known and concentrations of synthetic AMPs needed for anti-biofilm/anti-microbial activity possibly exceed endogenous levels [46]. Secondly, potential off-target or ototoxic effects of AMPs could have deleterious consequences [47]. Thirdly, the presence of middle ear bacterial biofilms and particularly NTHi biofilms could render AMPs inactive. This could be through binding of AMPs to extracellular DNA [48, 49] in NETs, which are a key component of middle ear biofilm [8]. Alternatively, AMPs could be rendered inactive through upregulation of bacterial virulence genes to prevent killing from AMPs and to restore potassium homeostasis allowing otopathogens to survive in the middle ear [50–52]. These bacterial persistence mechanisms may be overcome by using AMPs in combination with anti-biofilm agents such as DNAses [8] or with NTHi vaccines that target biofilm antigens to release the bacteria from biofilm and increase their susceptibility to antimicrobial agents [53]. These potential strategies warrant further investigation.
In conclusion, we have provided the first details on the presence and biological range of AMPs that are present in MEE from children with a history of rAOM. We have also shown that AMPs, pro-inflammatory cytokines and the regulatory cytokine IL-10 are associated with presence of bacterial otopathogens in the middle ear. To reduce the global burden of recurrent and chronic OM, new therapies that focus on eradicating bacterial otopathogens from the middle ear to reduce inflammation are urgently needed. Whether this can be achieved through the therapeutic use of AMPs requires further research, but our data provide important insight into the physiological concentrations of AMPs which may need to be exceeded in a therapeutic setting.
5 Limitations
We acknowledge that our study has some minor limitations predominantly due to sample size and sample volume constraints. Due to the rarity of this sample type and volume needed for immune and microbiological assays, there were small numbers in this study. This may have been a contributing factor to the similar levels of TGFβ observed between groups when numbers were further restricted. Additionally, due to volume limitations, we did not quantify immune cells, specifically neutrophils, in MEE from children in this study. However, we have previously identified neutrophil infiltrate and NETs in MEE from other children in this cohort [8], thus, higher levels of AMPs and cytokines in otopathogen-positive MEE may also reflect greater inflammation due to recruitment of immune cells into the middle ear of children with persisting bacterial otopathogen.
Zdroje
1. Monasta L, Ronfani L, Marchetti F, Montico M, Vecchi Brumatti L, Bavcar A, et al. Burden of disease caused by otitis media: systematic review and global estimates. PLoS One. 2012;7(4):e36226. Epub 2012/05/05. doi: 10.1371/journal.pone.0036226 22558393; PubMed Central PMCID: PMC3340347.
2. Brennan-Jones CG, Whitehouse AJ, Park J, Hegarty M, Jacques A, Eikelboom RH, et al. Prevalence and risk factors for parent-reported recurrent otitis media during early childhood in the Western Australian Pregnancy Cohort (Raine) Study. J Paediatr Child Health. 2015;51(4):403–9. Epub 2014/10/11. doi: 10.1111/jpc.12741 25303240.
3. Vergison A, Dagan R, Arguedas A, Bonhoeffer J, Cohen R, Dhooge I, et al. Otitis media and its consequences: beyond the earache. Lancet Infect Dis. 2010;10(3):195–203. Epub 2010/02/27. doi: 10.1016/S1473-3099(10)70012-8 20185098.
4. Taylor PS, Faeth I, Marks MK, Del Mar CB, Skull SA, Pezzullo ML, et al. Cost of treating otitis media in Australia. Expert Rev Pharmacoecon Outcomes Res. 2009;9(2):133–41. Epub 2009/05/01. doi: 10.1586/erp.09.6 19402800.
5. Nokso-Koivisto J, Marom T, Chonmaitree T. Importance of viruses in acute otitis media. Curr Opin Pediatr. 2015;27(1):110–5. Epub 2014/12/17. doi: 10.1097/MOP.0000000000000184 25514574; PubMed Central PMCID: PMC4383320.
6. Ngo CC, Massa HM, Thornton RB, Cripps AW. Predominant Bacteria Detected from the Middle Ear Fluid of Children Experiencing Otitis Media: A Systematic Review. PLoS One. 2016;11(3):e0150949. Epub 2016/03/10. doi: 10.1371/journal.pone.0150949 PubMed Central PMCID: PMC4783106. 26953891
7. Thornton RB, Rigby PJ, Wiertsema SP, Filion P, Langlands J, Coates HL, et al. Multi-species bacterial biofilm and intracellular infection in otitis media. BMC Pediatr. 2011;11:94. Epub 2011/10/25. doi: 10.1186/1471-2431-11-94 22018357; PubMed Central PMCID: PMC3224757.
8. Thornton RB, Wiertsema SP, Kirkham LA, Rigby PJ, Vijayasekaran S, Coates HL, et al. Neutrophil extracellular traps and bacterial biofilms in middle ear effusion of children with recurrent acute otitis media—a potential treatment target. PLoS One. 2013;8(2):e53837. Epub 2013/02/09. doi: 10.1371/journal.pone.0053837 23393551; PubMed Central PMCID: PMC3564866.
9. Salzman NH, Underwood MA, Bevins CL. Paneth cells, defensins, and the commensal microbiota: a hypothesis on intimate interplay at the intestinal mucosa. Semin Immunol. 2007;19(2):70–83. Epub 2007/05/09. doi: 10.1016/j.smim.2007.04.002 17485224.
10. Underwood M, Bakaletz L. Innate immunity and the role of defensins in otitis media. Curr Allergy Asthma Rep. 2011;11(6):499–507. Epub 2011/09/09. doi: 10.1007/s11882-011-0223-6 21901304; PubMed Central PMCID: PMC3208749.
11. Haney EF, Straus SK, Hancock REW. Reassessing the Host Defense Peptide Landscape. Front Chem. 2019;7:43. Epub 2019/02/20. doi: 10.3389/fchem.2019.00043 30778385; PubMed Central PMCID: PMC6369191.
12. Lee HY, Andalibi A, Webster P, Moon SK, Teufert K, Kang SH, et al. Antimicrobial activity of innate immune molecules against Streptococcus pneumoniae, Moraxella catarrhalis and nontypeable Haemophilus influenzae. BMC Infect Dis. 2004;4:12. Epub 2004/05/06. doi: 10.1186/1471-2334-4-12 15125783; PubMed Central PMCID: PMC428576.
13. McGillivary G, Ray WC, Bevins CL, Munson RS Jr., Bakaletz LO. A member of the cathelicidin family of antimicrobial peptides is produced in the upper airway of the chinchilla and its mRNA expression is altered by common viral and bacterial co-pathogens of otitis media. Mol Immunol. 2007;44(9):2446–58. Epub 2006/11/23. doi: 10.1016/j.molimm.2006.10.008 17113647; PubMed Central PMCID: PMC1817667.
14. McGillivary G, Mason KM, Jurcisek JA, Peeples ME, Bakaletz LO. Respiratory syncytial virus-induced dysregulation of expression of a mucosal beta-defensin augments colonization of the upper airway by non-typeable Haemophilus influenzae. Cell Microbiol. 2009;11(9):1399–408. Epub 2009/06/09. doi: 10.1111/j.1462-5822.2009.01339.x 19500108; PubMed Central PMCID: PMC2741182.
15. Mulay A, Hood DW, Williams D, Russell C, Brown SDM, Bingle L, et al. Loss of the homeostatic protein BPIFA1, leads to exacerbation of otitis media severity in the Junbo mouse model. Sci Rep. 2018;8(1):3128. Epub 2018/02/17. doi: 10.1038/s41598-018-21166-7 29449589; PubMed Central PMCID: PMC5814562.
16. Musa M, Wilson K, Sun L, Mulay A, Bingle L, Marriott HM, et al. Differential localisation of BPIFA1 (SPLUNC1) and BPIFB1 (LPLUNC1) in the nasal and oral cavities of mice. Cell Tissue Res. 2012;350(3):455–64. Epub 2012/09/19. doi: 10.1007/s00441-012-1490-9 22986921; PubMed Central PMCID: PMC3505551.
17. Moon SK, Lee HY, Pan H, Takeshita T, Park R, Cha K, et al. Synergistic effect of interleukin 1 alpha on nontypeable Haemophilus influenzae-induced up-regulation of human beta-defensin 2 in middle ear epithelial cells. BMC Infect Dis. 2006;6:12. Epub 2006/01/26. doi: 10.1186/1471-2334-6-12 16433908; PubMed Central PMCID: PMC1368979.
18. Fox JL. Antimicrobial peptides stage a comeback. Nat Biotechnol. 2013;31(5):379–82. Epub 2013/05/10. doi: 10.1038/nbt.2572 23657384.
19. Lee YS, Kim YJ, Choi SH, Shin KH, Jang WS, Lee IH, et al. Di-K19Hc, an antimicrobial peptide as new ototopical agent for treatment of otitis media. Acta Otolaryngol. 2010;130(8):897–903. Epub 2010/01/27. doi: 10.3109/00016480903536036 20100130.
20. Bosshart H, Heinzelmann M. Arginine-rich cationic polypeptides amplify lipopolysaccharide-induced monocyte activation. Infect Immun. 2002;70(12):6904–10. Epub 2002/11/20. doi: 10.1128/IAI.70.12.6904-6910.2002 12438368; PubMed Central PMCID: PMC133097.
21. Zughaier SM, Shafer WM, Stephens DS. Antimicrobial peptides and endotoxin inhibit cytokine and nitric oxide release but amplify respiratory burst response in human and murine macrophages. Cell Microbiol. 2005;7(9):1251–62. Epub 2005/08/16. doi: 10.1111/j.1462-5822.2005.00549.x 16098213; PubMed Central PMCID: PMC1388267.
22. Barzilai A, Leibovitz E, Laver JH, Piglansky L, Raiz S, Abboud MR, et al. Dynamics of interleukin-1 production in middle ear fluid during acute otitis media treated with antibiotics. Infection. 1999;27(3):173–6. Epub 1999/06/23. doi: 10.1007/bf02561523 10378127.
23. Yellon RF, Leonard G, Marucha PT, Craven R, Carpenter RJ, Lehmann WB, et al. Characterization of cytokines present in middle ear effusions. Laryngoscope. 1991;101(2):165–9. Epub 1991/02/01. doi: 10.1288/00005537-199102000-00011 1992267.
24. Himi T, Suzuki T, Kodama H, Takezawa H, Kataura A. Immunologic characteristics of cytokines in otitis media with effusion. Ann Otol Rhinol Laryngol Suppl. 1992;157:21–5. Epub 1992/10/01. doi: 10.1177/0003489492101s1006 1416648.
25. Leibovitz E, Dagan R, Laver JH, Piglansky L, Raiz S, Abboud MR, et al. Interleukin 8 in middle ear fluid during acute otitis media: correlation with aetiology and bacterial eradication. Arch Dis Child. 2000;82(2):165–8. Epub 2000/01/29. doi: 10.1136/adc.82.2.165 10648376; PubMed Central PMCID: PMC1718196.
26. Wiertsema SP, Kirkham LA, Corscadden KJ, Mowe EN, Bowman JM, Jacoby P, et al. Predominance of nontypeable Haemophilus influenzae in children with otitis media following introduction of a 3+0 pneumococcal conjugate vaccine schedule. Vaccine. 2011;29(32):5163–70. Epub 2011/05/31. doi: 10.1016/j.vaccine.2011.05.035 21621576.
27. Wiertsema SP, Chidlow GR, Kirkham LA, Corscadden KJ, Mowe EN, Vijayasekaran S, et al. High detection rates of nucleic acids of a wide range of respiratory viruses in the nasopharynx and the middle ear of children with a history of recurrent acute otitis media. J Med Virol. 2011;83(11):2008–17. Epub 2011/09/15. doi: 10.1002/jmv.22221 21915878.
28. Corscadden KJ, Kirkham LA, Thornton RB, Vijayasekaran S, Coates HL, Richmond PC, et al. High pneumococcal serotype specific IgG, IgG1 and IgG2 levels in serum and the middle ear of children with recurrent acute otitis media receiving ventilation tubes. Vaccine. 2013;31(10):1393–9. Epub 2013/01/15. doi: 10.1016/j.vaccine.2012.12.078 23313814.
29. Wiertsema SP, Corscadden KJ, Mowe EN, Zhang G, Vijayasekaran S, Coates HL, et al. IgG responses to Pneumococcal and Haemophilus influenzae protein antigens are not impaired in children with a history of recurrent acute otitis media. PLoS One. 2012;7(11):e49061. Epub 2012/11/16. doi: 10.1371/journal.pone.0049061 23152850; PubMed Central PMCID: PMC3495775.
30. Strunk T, Hibbert J, Doherty D, Granland C, Trend S, Simmer K, et al. Probiotics and antimicrobial protein and peptide levels in preterm infants. Acta Paediatr. 2017;106(11):1747–53. Epub 2017/03/16. doi: 10.1111/apa.13826 28294428.
31. Pickering JL, Prosser A, Corscadden KJ, de Gier C, Richmond PC, Zhang G, et al. Haemophilus haemolyticus Interaction with Host Cells Is Different to Nontypeable Haemophilus influenzae and Prevents NTHi Association with Epithelial Cells. Front Cell Infect Microbiol. 2016;6:50. Epub 2016/06/01. doi: 10.3389/fcimb.2016.00050 27242968; PubMed Central PMCID: PMC4860508.
32. Halverson TW, Wilton M, Poon KK, Petri B, Lewenza S. DNA is an antimicrobial component of neutrophil extracellular traps. PLoS Pathog. 2015;11(1):e1004593. Epub 2015/01/16. doi: 10.1371/journal.ppat.1004593 25590621; PubMed Central PMCID: PMC4295883.
33. Hoa M, Syamal M, Sachdeva L, Berk R, Coticchia J. Demonstration of nasopharyngeal and middle ear mucosal biofilms in an animal model of acute otitis media. Ann Otol Rhinol Laryngol. 2009;118(4):292–8. Epub 2009/05/26. doi: 10.1177/000348940911800410 19462851.
34. Coticchia JM, Chen M, Sachdeva L, Mutchnick S. New paradigms in the pathogenesis of otitis media in children. Front Pediatr. 2013;1:52. Epub 2014/01/09. doi: 10.3389/fped.2013.00052 24400296; PubMed Central PMCID: PMC3874850.
35. Post JC, Aul JJ, White GJ, Wadowsky RM, Zavoral T, Tabari R, et al. PCR-based detection of bacterial DNA after antimicrobial treatment is indicative of persistent, viable bacteria in the chinchilla model of otitis media. Am J Otolaryngol. 1996;17(2):106–11. Epub 1996/03/01. doi: 10.1016/s0196-0709(96)90005-8 8820185.
36. Chua SL, Liu Y, Yam JK, Chen Y, Vejborg RM, Tan BG, et al. Dispersed cells represent a distinct stage in the transition from bacterial biofilm to planktonic lifestyles. Nat Commun. 2014;5:4462. Epub 2014/07/22. doi: 10.1038/ncomms5462 25042103.
37. Persson LJ, Aanerud M, Hardie JA, Miodini Nilsen R, Bakke PS, Eagan TM, et al. Antimicrobial peptide levels are linked to airway inflammation, bacterial colonisation and exacerbations in chronic obstructive pulmonary disease. Eur Respir J. 2017;49(3). Epub 2017/03/17. doi: 10.1183/13993003.01328–2016 28298400.
38. Sibila O, Perea L, Canto E, Shoemark A, Cassidy D, Smith AH, et al. Antimicrobial peptides, disease severity and exacerbations in bronchiectasis. Thorax. 2019;74(9):835–42. Epub 2019/07/07. doi: 10.1136/thoraxjnl-2018-212895 31278172.
39. Mulay A, Akram KM, Williams D, Armes H, Russell C, Hood D, et al. An in vitro model of murine middle ear epithelium. Dis Model Mech. 2016;9(11):1405–17. Epub 2016/09/24. doi: 10.1242/dmm.026658 27660200; PubMed Central PMCID: PMC5117233.
40. Pichichero ME. Ten-Year Study of the Stringently Defined Otitis-prone Child in Rochester, NY. Pediatr Infect Dis J. 2016;35(9):1033–9. Epub 2016/06/09. doi: 10.1097/INF.0000000000001217 27273691; PubMed Central PMCID: PMC4987181.
41. Lee YW, Chung Y, Juhn SK, Kim Y, Lin J. Activation of the transforming growth factor beta pathway in bacterial otitis media. Ann Otol Rhinol Laryngol. 2011;120(3):204–13. Epub 2011/04/23. doi: 10.1177/000348941112000310 21510147; PubMed Central PMCID: PMC3081620.
42. Rye MS, Wiertsema SP, Scaman ES, Oommen J, Sun W, Francis RW, et al. FBXO11, a regulator of the TGFbeta pathway, is associated with severe otitis media in Western Australian children. Genes Immun. 2011;12(5):352–9. Epub 2011/02/05. doi: 10.1038/gene.2011.2 21293382.
43. White AJ, Gompertz S, Bayley DL, Hill SL, O'Brien C, Unsal I, et al. Resolution of bronchial inflammation is related to bacterial eradication following treatment of exacerbations of chronic bronchitis. Thorax. 2003;58(8):680–5. Epub 2003/07/30. doi: 10.1136/thorax.58.8.680 12885984; PubMed Central PMCID: PMC1746781.
44. Seppanen E, Thornton, R., North, H., Corsacadden, K., Wierstema, S., Vijayasekaran, S., Coates, H., Jacoby, P., Richmond, P., Kirkham L., editor Bacterial Reservoirs in Otitis-prone Children are Associated with Repeat Surgery Outcomes: A Cohort Study. 20th International Symposium on Recent Advances in Otitis Media; 2019; Los Angeles, California.
45. Pletzer D, Mansour SC, Hancock REW. Synergy between conventional antibiotics and anti-biofilm peptides in a murine, sub-cutaneous abscess model caused by recalcitrant ESKAPE pathogens. PLoS Pathog. 2018;14(6):e1007084. Epub 2018/06/22. doi: 10.1371/journal.ppat.1007084 PubMed Central PMCID: PMC6013096 following competing interests: The peptides described here have been filed for patent protection, assigned to REWH's employer the University of British Columbia, and licenced to ABT Innovations Inc. in which the University of British Columbia and REWH own shares. 29928049
46. Pletzer D, Hancock RE. Antibiofilm Peptides: Potential as Broad-Spectrum Agents. J Bacteriol. 2016;198(19):2572–8. Epub 2016/04/14. doi: 10.1128/JB.00017-16 27068589; PubMed Central PMCID: PMC5019066.
47. Forde E, Devocelle M. Pro-moieties of antimicrobial peptide prodrugs. Molecules. 2015;20(1):1210–27. Epub 2015/01/16. doi: 10.3390/molecules20011210 25591121; PubMed Central PMCID: PMC6272668.
48. Weiner DJ, Bucki R, Janmey PA. The antimicrobial activity of the cathelicidin LL37 is inhibited by F-actin bundles and restored by gelsolin. Am J Respir Cell Mol Biol. 2003;28(6):738–45. Epub 2003/02/26. doi: 10.1165/rcmb.2002-0191OC 12600826.
49. Jones EA, McGillivary G, Bakaletz LO. Extracellular DNA within a nontypeable Haemophilus influenzae-induced biofilm binds human beta defensin-3 and reduces its antimicrobial activity. J Innate Immun. 2013;5(1):24–38. Epub 2012/08/28. doi: 10.1159/000339961 22922323; PubMed Central PMCID: PMC3640559.
50. Shelton CL, Raffel FK, Beatty WL, Johnson SM, Mason KM. Sap transporter mediated import and subsequent degradation of antimicrobial peptides in Haemophilus. PLoS Pathog. 2011;7(11):e1002360. Epub 2011/11/11. doi: 10.1371/journal.ppat.1002360 22072973; PubMed Central PMCID: PMC3207918.
51. Mason KM, Bruggeman ME, Munson RS, Bakaletz LO. The non-typeable Haemophilus influenzae Sap transporter provides a mechanism of antimicrobial peptide resistance and SapD-dependent potassium acquisition. Mol Microbiol. 2006;62(5):1357–72. Epub 2006/10/27. doi: 10.1111/j.1365-2958.2006.05460.x 17064364.
52. Mason KM, Munson RS Jr., Bakaletz LO. A mutation in the sap operon attenuates survival of nontypeable Haemophilus influenzae in a chinchilla model of otitis media. Infect Immun. 2005;73(1):599–608. Epub 2004/12/25. doi: 10.1128/IAI.73.1.599-608.2005 15618200; PubMed Central PMCID: PMC538956.
53. Mokrzan EM, Novotny LA, Brockman KL, Bakaletz LO. Antibodies against the Majority Subunit (PilA) of the Type IV Pilus of Nontypeable Haemophilus influenzae Disperse Moraxella catarrhalis from a Dual-Species Biofilm. MBio. 2018;9(6). Epub 2018/12/13. doi: 10.1128/mBio.02423-18 30538189; PubMed Central PMCID: PMC6299487.
Článek vyšel v časopise
PLOS One
2019 Číslo 12
- S diagnostikou Parkinsonovy nemoci může nově pomoci AI nástroj pro hodnocení mrkacího reflexu
- Je libo čepici místo mozkového implantátu?
- Metamizol jako analgetikum první volby: kdy, pro koho, jak a proč?
- Pomůže v budoucnu s triáží na pohotovostech umělá inteligence?
- AI může chirurgům poskytnout cenná data i zpětnou vazbu v reálném čase
Nejčtenější v tomto čísle
- Methylsulfonylmethane increases osteogenesis and regulates the mineralization of the matrix by transglutaminase 2 in SHED cells
- Oregano powder reduces Streptococcus and increases SCFA concentration in a mixed bacterial culture assay
- The characteristic of patulous eustachian tube patients diagnosed by the JOS diagnostic criteria
- Parametric CAD modeling for open source scientific hardware: Comparing OpenSCAD and FreeCAD Python scripts