Literature DB >> 27799062

Middle ear microbiome differences in indigenous Filipinos with chronic otitis media due to a duplication in the A2ML1 gene.

Regie Lyn P Santos-Cortez1,2, Diane S Hutchinson3, Nadim J Ajami3, Ma Rina T Reyes-Quintos4,5, Ma Leah C Tantoco4, Patrick John Labra5, Sheryl Mae Lagrana4, Melquiadesa Pedro4, Erasmo Gonzalo D V Llanes4,5, Teresa Luisa Gloria-Cruz4,5, Abner L Chan4,5, Eva Maria Cutiongco-de la Paz6,7, John W Belmont8,9, Tasnee Chonmaitree10, Generoso T Abes4,5, Joseph F Petrosino3, Suzanne M Leal11, Charlotte M Chiong4,5.   

Abstract

BACKGROUND: Previously rare A2ML1 variants were identified to confer otitis media susceptibility in an indigenous Filipino community and in otitis-prone US children. The goal of this study is to describe differences in the middle ear microbiome between carriers and non-carriers of an A2ML1 duplication variant that increases risk for chronic otitis media among indigenous Filipinos with poor health care access.
METHODS: Ear swabs were obtained from 16 indigenous Filipino individuals with chronic otitis media, of whom 11 carry the A2ML1 duplication variant. Ear swabs were submitted for 16S rRNA gene sequencing.
RESULTS: Genotype-based differences in microbial richness, structure, and composition were identified, but were not statistically significant. Taxonomic analysis revealed that the relative abundance of the phyla Fusobacteria and Bacteroidetes, and genus Fusobacterium were nominally increased in carriers compared to non-carriers, but were non-significant after correction for multiple testing. We also detected rare bacteria including Oligella that was reported only once in the middle ear.
CONCLUSIONS: These findings suggest that A2ML1-related otitis media susceptibility may be mediated by changes in the middle ear microbiome. Knowledge of middle ear microbial profiles according to genetic background can be potentially useful for therapeutic and prophylactic interventions for otitis media and can guide public health interventions towards decreasing otitis media prevalence within the indigenous Filipino community.

Entities:  

Keywords:  A2ML1; Indigenous population; Microbiome; Middle ear; Oligella; Otitis media; Philippines

Mesh:

Substances:

Year:  2016        PMID: 27799062      PMCID: PMC5088646          DOI: 10.1186/s40249-016-0189-7

Source DB:  PubMed          Journal:  Infect Dis Poverty        ISSN: 2049-9957            Impact factor:   4.520


Multilingual abstracts

Please see Additional file 1 for translations of the abstract into the six official working languages of the United Nations.

Background

Otitis media or middle ear infection is an important public health problem worldwide. In developed countries otitis media remains the top reason for health care visits and antibiotic use among children [1], while incidence and prevalence of otitis media are particularly high in sub-Saharan Africa, Asia and in marginalized communities such as indigenous populations, where the burden of complications due to chronic otitis media (e.g., hearing loss) is mostly felt [2]. Due to high prevalence of chronic suppurative otitis media and its complications in developing countries, it was recently proposed for chronic otitis media to be classified as a neglected tropical disease [3]. While multiple risk factors are associated with otitis media, there is strong evidence that a genetic basis for otitis media susceptibility exists [4, 5]. Recently we identified rare variants in the A2ML1 gene, which encodes alpha-2-macroglobulin-like 1 protein, as a cause of otitis media susceptibility [6]. A rare A2ML1 duplication variant c.2478_2485dupGGCTAAAT (p.(Ser829Trpfs*9)) confers susceptibility to otitis media in three European- or Hispanic-American children in Texas, USA and an indigenous Filipino population. This variant co-segregated with different forms of otitis media in a six-generation pedigree within the indigenous Filipino community, which is highly intermarried due to socio-economic segregation and cultural discrimination and has a relatively homogeneous environmental background i.e., poor health care access and hygiene, lack of pneumococcal vaccination, crowded households and swimming in dirty seawater. In this population, known risk factors for otitis media including quantitative age, gender, nutrition and tobacco exposure were not associated with otitis media status [7]. Additionally the three US children who also carry the A2ML1 duplication variant had early-onset recurrent otitis media that required tympanostomy tube insertion within the first six months of age. The duplication variant occurred within a short haplotype that was common among the indigenous Filipinos and the US children, suggesting a founder variant that is estimated to be 1 800 years old and that may have occurred within the Filipino and US populations through Spanish colonization [6]. Genetic susceptibility to otitis media has been established using family and association studies, however the mechanisms by which genetic variants influence host-bacterial interactions in the middle ear has not been elucidated. Here we show suggestive evidence that carriage of the A2ML1 duplication variant might influence the middle ear microbial composition of individuals with chronic otitis media, which may explain in part the pathogenic mechanism by which the A2ML1 duplication variant confers otitis media susceptibility. This study is novel for several reasons: (A) Most microbiome studies for (non-chronic) otitis media used nasopharyngeal and adenoid samples rather than middle ear fluid or swabs, and differences in microbial profiles according to sample source within the head and neck is known [8, 9]. (B) Previously middle ear microbiome studies were performed for chronic otitis media using a single sample and on 11 indigenous Australian children with effusive otitis media [10, 11]. (C) Comparison of microbiome findings according to human host genotype has only been done for a few diseases (e.g., cystic fibrosis, inflammatory bowel disease), but not otitis media [12, 13]. This study also further supports the concept that in the presence of human or host mutation, the complexity of disease patterns can be partly attributed to changes in the microbiome.

Methods

The study was approved by the: Baylor College of Medicine (BCM) Institutional Review Board and Affiliated Hospitals; the National Commission on Indigenous Peoples, Philippines; and the University of the Philippines Manila Research Ethics Board. Informed consent was obtained from adult participants and parents or guardians of pediatric patients. Participating individuals from an indigenous Filipino community were examined by otoscopy. Previous analyses of multiple risk factors for otitis media established a homogeneous environmental background for this community [7]. Despite high prevalence of otitis media, this community has poor access to health care including vaccinations and antibiotic treatments and has no surgical facilities within the island. In many cases, otitis media either spontaneously resolves with age or results in chronic eardrum perforation with recurrent discharge. Chronically perforated eardrums result in long-term exposure of the middle ear mucosa to the outer ear flora and the environment, e.g., during bathing or swimming in the sea. From each individual, human genomic DNA from saliva was obtained using Oragene DNA saliva kits (DNA Genotek, Ontario, Canada). DNA samples were Sanger-sequenced for the A2ML1 duplication variant [6]. From indigenous Filipinos with perforated eardrum(s) due to chronic otitis media, outer ear swabs were collected prior to middle ear swabs, using sterile short polyester-tipped Pur-Wrap swabs (Puritan Medical, Guilford, ME, USA). The outer ear swabs were rubbed gently against outer ear canal skin, then additional swabs were rubbed against middle ear mucosa and/or edges of eardrum perforations and soaked on discharge when present. Each swab specimen was placed directly in the collection tube from the PowerSoil DNA isolation kit (MO BIO Laboratories, Carlsbad, CA, USA), the swab stem cut with sterile scissors, and the collection tube closed, sealed and labeled. All samples were stored in a -20 °C freezer until shipped to BCM on dry ice. All collected swabs were submitted to the BCM Alkek Center for Metagenomics and Microbiome Research for 16S rRNA gene profiling. Bacterial genomic DNA was isolated from ear swabs using the PowerSoil DNA isolation kit. 16S rRNA gene sequencing methods were adapted from the NIH-Human Microbiome Project. Briefly, the 16S rRNA gene V4 region was amplified by PCR and sequenced on an Illumina MiSeq (2 × 250 bp). The primers (515F and 806R) used for amplification contain adapters for MiSeq sequencing and single-index barcodes allowing PCR products to be pooled and sequenced directly [14, 15]. The read pairs were demultiplexed based on the unique molecular barcodes and filtered at an expected error rate of 0.05. Reads were truncated at first instance of Q5 and then size selected between 252-254 bp. Reads were merged using USEARCH v7.0.1001 [16] using an 8 bp seed sequence, at least 50 bp of overlap, and zero mismatches across the overlap. The 16S rRNA gene sequencing analysis pipeline incorporates phylogenetic and alignment-based approaches to maximize data resolution. 16S rRNA gene sequences were assigned into Operational Taxonomic Units (OTUs) at a similarity cutoff value of 97 % using the UPARSE algorithm [16]. OTUs were mapped at 97 % sequence identity to an optimized version of the SILVA 123 database, containing only the V4 region to determine taxonomy. Abundances were recovered by mapping demultiplexed reads to the UPARSE OTUs. Sequences were normalized to 10 000 sequences per sample. The microbial sequence data was analyzed for α-diversity, which measures richness, evenness, or diversity of individual samples, and β-diversity, which measures dissimilarity between samples based on phylogenetic distance and taxonomic composition [17]. Because multiple swabs were available per individual, outer ear swabs and middle ear swabs were analyzed separately. For bilateral samples, swabs from the right ear were included in analyses. The PERMANOVA test was applied to β-diversity metrics to ascertain differences in community composition between wildtype individuals and A2ML1 variant carriers. Differential abundance of taxa was detected by the Mann-Whitney test with false discovery rate (FDR, Benjamini-Hochberg) correction for multiple comparisons (P < 0.05 significance threshold). 16S rRNA gene compositional analysis provided a summary of the composition and structure of the bacterial component of the microbiome. Due to our previous findings that aside from the A2ML1 duplication no other risk factors were associated with otitis media status within the indigenous Filipino community [7], no other variables were used in the analyses.

Results

Middle and outer ear swabs were obtained from 16 indigenous Filipino individuals (Table 1), 11 of whom were carriers of the A2ML1 variant. Median age was 9.5 years, and females comprised 62.5 % of study subjects. Half of the individuals with middle ear samples were bilaterally affected. Clinical history and otoscopic findings from follow-up over 2-10 years indicated chronic otitis media for all individuals examined, with the last examination revealing well-defined edges of eardrum perforations ranging from 20 % to near-total perforations. Description of discharge when present varied widely, being copious or scanty with moist middle ear mucosa, purulent or mucoid, foul- or non-foul-smelling. When visualized, the middle ear mucosa was usually thickened. In three ears, granulation tissue was observed. Also two individuals had chronic otitis media in one ear, but acute or effusive otitis media in the other ear. According to local health office records, none of the 16 indigenous Filipinos with chronic otitis media had vaccinations for common pathogens for acute otitis media, i.e., Streptococcus pneumoniae or Haemophilus influenzae, or recent antibiotic use at time of examination.
Table 1

Clinical data and A2ML1 duplication variant genotypes of indigenous Filipinos with ear swabs

IDAge (yrs)SexGTSideOtoscopic findings
210FwtL20 % perforation and copious yellowish foul-smelling discharge; reddish dull TM
510MhetB60-80 % perforation with purulent foul-smelling discharge
74MhetR30 % perforation with purulent thick non-foul-smelling discharge
824FwtL20 % perforation, dry
206FhetR20 % perforation, scanty non-foul-smelling discharge
339MwtBnear-total perforation with thick purulent non-foul-smelling discharge
4110FhetR70 % perforation with moist middle ear mucosa
4519FhetB a B: 20 % perforation with yellowish non-foul-smelling discharge: L: granulation tissue
5314FhetB30-40 % perforation with discharge
626MhomR20 % perforation with non-foul-smelling discharge
6313FhomB40-90 % perforation with moist middle ear mucosa
676FhetL20 % perforation, dry
7112FwtL50 % perforation with moist middle ear mucosa
767MwtB b L: 30 % perforation with discharge; R: intact but retracted TM
894FhetB b R: foul-smelling discharge; L: dull, bulging erythematous TM
927MhetBfilled with granulation tissue and foul-smelling discharge

GT genotype, F female, M male, wt wildtype, het heterozygous, hom homozygous, L left, R right, B bilateral, TM tympanic membrane

aID 45 has chronic otitis media bilaterally but middle ear sample is available only for the right ear

bPerforation only in one ear, for which a middle ear sample was obtained

Clinical data and A2ML1 duplication variant genotypes of indigenous Filipinos with ear swabs GT genotype, F female, M male, wt wildtype, het heterozygous, hom homozygous, L left, R right, B bilateral, TM tympanic membrane aID 45 has chronic otitis media bilaterally but middle ear sample is available only for the right ear bPerforation only in one ear, for which a middle ear sample was obtained Middle and outer ear swabs were available from a total of 21 ears with chronic otitis media from 16 indigenous Filipinos (Table 1; Additional file 2: Figure S1). The median DNA concentration per ear swab was 3.0 ηg/μl (maximum 92.5 ηg/μl), indicating that these samples contain high bacterial biomass. For five individuals with bilateral samples, middle ear microbial profiles were not different between ears (Additional file 3: Figure S2), thus for these five individuals only the right ear was included in comparisons by genotype. When comparing middle ears of wildtype versus A2ML1-positive individuals, observed OTUs were not different (Additional file 2: Figure S1A). The mean Shannon diversity index was higher in middle ears of carriers, however the difference was not statistically significant (Additional file 2: Figure S1B). Similar plots were also non-significant for the outer ears (Additional file 4: Figure S3). The β-diversity analyses for middle ear swabs were not statistically significant between carriers and non-carriers (Additional file 2: Figures S1C and S1D). Lack of significant results for these metrics may be largely due to the small sample size. At phylum level, relative taxa abundance profiles for the middle ear differed by genotype, with more Fusobacteria and Bacteroidetes in carriers of the A2ML1 variant than in non-carriers (Table 2, Fig. 1a). At genus level, Fusobacterium was also greater in carriers (Table 3, Fig. 1b). The higher relative abundance for these taxa was nominally significant in carriers (P ≤ 0.05), but non-significant after correction for multiple testing which is not unexpected given the small sample size. Based on identified genera the composition of the middle ear microbiome in the A2ML1 variant carriers differed from non-carriers due to higher relative abundance in Fusobacterium, Porphyromonas, Peptostreptococcus, Parvimonas and Bacteroides (Table 3, Fig. 1b), while median frequencies for Alloiococcus, Staphylococcus, Proteus and Haemophilus were greater in wildtype middle ears (Table 3). These genera show concordance with identified phyla, e.g., higher relative abundance of the phyla Fusobacteria and Bacteroidetes in middle ears of A2ML1-positive individuals due to greater median frequencies for genera Fusobacterium and Porphyromonas/Bacteroides, respectively (Fig. 1; Table 3). On the other hand, non-significant increases in relative abundance were detected for the phyla Proteobacteria (i.e., due to Proteus, Haemophilus, Alcaligenaceae or Pseudomonas) and Actinobacteria (i.e., Brevibacterium, Actinomyces or Corynebacterium) in middle ears of non-carriers (Tables 2 and 3).
Table 2

Bacterial phyla in middle ears of indigenous Filipinos with chronic otitis media

PhylumOverall median % A2ML1+ median %Wildtype median %Mann- Whitney p FDR-adjusted p a
Fusobacteria2.729.150.040.040.24
Bacteroidetes13.5128.030.160.050.24
Proteobacteria36.3129.5952.750.150.44
Actinobacteria12.406.9833.280.510.74
Firmicutes3.963.944.300.830.83

aFalse discovery rate (FDR)

Fig. 1

Relative abundance of middle ear bacterial taxa according to A2ML1 genotype. a By phylum; b by genus

Table 3

Middle ear bacterial genera with ≥0.1 % difference in relative abundance by genotype

PhylumGenusOverall median % A2ML1+ median %Wildtype median %Mann- Whitney p a
Fusobacteria Fusobacterium 2.729.150.040.05
Firmicutes Alloiococcus 000.240.06
Bacteroidetes Porphyromonas 6.229.000.060.07
Firmicutes Staphylococcus 0.030.010.110.11
Firmicutes Peptostreptococcus 0.050.190.010.14
Firmicutes Parvimonas 0.190.210.010.21
Proteobacteria Proteus 0.1000.160.24
Bacteroidetes Bacteroides 0.360.690.080.30
Proteobacteria Haemophilus 0.170.070.410.31
Proteobacteria Oligella 20.4821.075.330.38
Actinobacteria Brevibacterium 0.410.220.660.40
Actinobacteria Actinomyces 0.730.501.110.44
Proteobacteria Bkhbact6 (Alcaligenaceae) 0.510.440.650.61
Proteobacteria Campylobacter 0.190.2900.73
Proteobacteria Pseudomonas 0.060.030.150.77
Actinobacteria Corynebacterium 3.783.748.621

aAll FDR-adjusted p-values equal 1

Bacterial phyla in middle ears of indigenous Filipinos with chronic otitis media aFalse discovery rate (FDR) Relative abundance of middle ear bacterial taxa according to A2ML1 genotype. a By phylum; b by genus Middle ear bacterial genera with ≥0.1 % difference in relative abundance by genotype aAll FDR-adjusted p-values equal 1 Bacterial phyla in outer ears of indigenous Filipinos with chronic otitis media Outer ear bacterial genera with >0.1 % difference in relative abundance by genotype Phylum information: a Firmicutes; b Actinobacteria For outer ears the unweighted UniFrac principal coordinate analysis was significant by genotype although weighted UniFrac analysis was non-significant (Additional file 4: Figure S3). The bacterial taxa identified in the outer ears were similar to middle ear bacteria (Tables 4, 5, Additional file 2: Figure S1 and Additional file 4: Figure S3). Overall these findings suggest similarity in middle and outer ear bacteria due to cross-contamination across chronically perforated eardrums. This is further supported by the lack of detection of Bacteroidetes and/or Fusobacteria in previous microbiome studies of the external auditory canals of healthy individuals [18, 19].
Table 4

Bacterial phyla in outer ears of indigenous Filipinos with chronic otitis media

PhylumOverall median % A2ML1+ median %Wildtype median %Mann- Whitney p FDR-adjusted p a
Bacteroidetes2.9732.250.050.0090.07
Fusobacteria1.563.1100.040.16
Proteobacteria34.8934.5675.200.270.36
Firmicutes3.493.630.590.440.50
Actinobacteria15.0711.9724.390.910.91
Table 5

Outer ear bacterial genera with >0.1 % difference in relative abundance by genotype

GenusOverall median % A2ML1+ median %Wildtype median %Mann- Whitney p a FDR-adjusted p
Porphyromonas 1.697.620.020.010.30
Fusobacterium 1.563.1100.040.39
Haemophilus 0.420.239.610.040.39
Parvimonas 0.110.1800.060.45
Bacteroides 0.251.260.030.090.53
Campylobacter 0.080.1800.110.53
Peptostreptococcus 0.060.190.010.150.54
Proteus 0.190.030.500.280.63
Peptoniphilus a 0.170.170.070.320.65
Corynebacterium 7.833.8112.000.380.71
Pseudoclavibacter b 1.560.662.130.380.71
Oligella 22.8827.236.850.440.75
Bkhbact6 (Alcaligenaceae) 0.620.830.210.580.75
Alloiococcus 0.0400.110.590.75
Dietzia b 0.150.010.240.600.75
Brevibacterium 0.951.170.720.660.78

Phylum information: a Firmicutes; b Actinobacteria

Discussion

These microbiome results provide some insight into the effect of the A2ML1 duplication variant on otitis media susceptibility [6]. Even though α- and β-diversity measurements were not significantly different in A2ML1 variant carriers versus non-carriers, there is suggestive evidence that carriage of the A2ML1 variant and the expected loss-of-function of A2ML1 protein might favor survival and growth of specific bacterial taxa. At genus level, Alloiococcus was among the top three bacteria identified from the middle ear, although at very low frequency (Table 3). Alloiococcus otitidis was initially discovered in middle ear fluid [20]. On the other hand, Fusobacterium and Porphyromonas had greater relative abundance in A2ML1 variant carriers compared to non-carriers at ~9 % median frequency in the middle ear (Table 3). The species Fusobacterium nucleatum and Porphyromonas gingivalis are less commonly isolated in chronic otitis media [21] but are known to proliferate in oropharyngeal infections [21] or progressive gingivitis and periodontitis which are mucosal diseases in the oral cavity [22]. During infection, these two bacteria along with host inflammatory cells release proteases that degrade mucosal matrix and basement membrane, and of these two bacteria, P. gingivalis can produce higher proteolytic activity and elicit a more virulent host response [23]. The protein structure of A2ML1 is highly homologous to the protease inhibitor alpha-2-macroglobulin (A2M), and we previously hypothesized that A2ML1 and A2M might have overlapping protective roles within the middle ear by preventing undue mucosal damage from either bacterial or inflammatory proteases [6]. Interestingly, there is evidence that human A2M efficiently inhibits some cysteine proteases produced by P. gingivalis, but another homologous macroglobulin is required to trap all proteinase forms and control proteolytic activity due to P. gingivalis [24]. A defect in macroglobulin function in the middle ear mucosa may favor infection with Porphyromonas or Fusobacterium through unregulated bacterial protease activity. While Porphyromonas and Fusobacterium were previously isolated in cultures of ear discharge from chronic otitis media [21, 25], these bacterial groups that are more abundant in the A2ML1-variant carriers are quite different from major bacterial isolates from chronic middle ear discharge from the general Filipino population, e.g., Staphylococcus, Pseudomonas, Proteus [26]. Our microbiome results are also different from a previous microbiome study which largely detected Pseudomonas from middle ear fluid of a US child with chronic otitis media [10]. In another microbiome study of middle ear fluid from indigenous Australian children with effusive otitis media, the top species detected were Alloiococcus otitidis, Haemophilus influenzae and Streptococcus sp. [11] which are more frequently detected in non-chronic forms of otitis media i.e., acute or effusive otitis media [27]. Note however that Haemophilus influenzae has also been identified in chronic otitis media and is known to form biofilm in the middle ear [28]. Although the uniqueness of the bacterial profiles in indigenous Filipinos vs. other populations may be attributed to differences in sampling and detection techniques, type of otitis media and community setting, the differences in diversity and abundant taxa by genotype as described here were detected while comparing indigenous Filipino individuals only. All the indigenous Filipinos studied were diagnosed with chronic otitis media, had clinical history of several years of inadequately treated chronic ear discharge, and were from the same homogeneous community, providing supportive evidence that the microbial profile changes are more likely due to genotype. Moreover the finding of known oral cavity pathogens as the predominant middle ear bacteria in A2ML1 variant carriers begs further study of a potential link between oral health and otitis media status in these individuals. For the indigenous Filipino community, microbiome technologies have high utility given the lack of access to laboratory facilities including microbial culture. The identification of bacteria that were rarely or never reported in middle ears also testifies to the utility of 16S rRNA gene profiling in detecting bacteria that may be missed in culture studies. Oligella was reported only once in ear discharge [29] while the OTU BkhBact6 (Alcaligenaceae), which was classified to genus GKS98 freshwater group of the class Betaproteobacteria, has only been seen in environmental samples [30]. Bkhbact6 (Alcaligenaceae) had higher relative abundance in the middle ears of wildtype individuals (Table 3). Oligella was highly abundant in both middle and outer ears and was occasionally the predominant genus in the middle ear swabs (Table 3, Fig. 1b). In addition, the relative abundance of Oligella was greater than that of Corynebacterium, which has been isolated from middle and outer ears but considered debatable in terms of pathogenic potential [31]. Although Oligella sp. is known as a commensal in the genitourinary tract, it was previously isolated from deep tissue infection and might also be considered an opportunistic pathogen [29]. Currently the paucity of literature on Oligella and Bkhbact6 (Alcaligenaceae) precludes conclusion if these bacteria are middle ear pathogens, commensals or contaminants.

Conclusions

Overall our findings suggest that the A2ML1 duplication variant may induce changes in the middle ear microbiome. It should be stressed that the study was designed to be exploratory rather than associative, therefore these findings are descriptive in nature and require confirmation using a larger number of subjects. Nevertheless, this study highlights the importance of host genotype-bacterial interactions in understanding the pathophysiology of common infectious diseases such as otitis media. Specifically, within the indigenous Filipino community, knowledge of middle ear microbial profiles according to genetic background can be potentially useful for future therapeutic and prophylactic interventions, such as antibiotic use and vaccination that includes coverage against Haemophilus which was detected by 16S rRNA sequencing.
  29 in total

1.  Culture-independent molecular analysis of microbial constituents of the healthy human outer ear.

Authors:  Daniel N Frank; George B Spiegelman; William Davis; Eileen Wagner; Eric Lyons; Norman R Pace
Journal:  J Clin Microbiol       Date:  2003-01       Impact factor: 5.948

2.  UniFrac: an effective distance metric for microbial community comparison.

Authors:  Catherine Lozupone; Manuel E Lladser; Dan Knights; Jesse Stombaugh; Rob Knight
Journal:  ISME J       Date:  2010-09-09       Impact factor: 10.302

3.  Progression of periodontal inflammation in adolescents is associated with increased number of Porphyromonas gingivalis, Prevotella intermedia, Tannerella forsythensis, and Fusobacterium nucleatum.

Authors:  Ning-Yan Yang; Quan Zhang; Jin-Lu Li; Sheng-Hui Yang; Qing Shi
Journal:  Int J Paediatr Dent       Date:  2013-09-12       Impact factor: 3.455

4.  UPARSE: highly accurate OTU sequences from microbial amplicon reads.

Authors:  Robert C Edgar
Journal:  Nat Methods       Date:  2013-08-18       Impact factor: 28.547

5.  Genetic and Environmental Determinants of Otitis Media in an Indigenous Filipino Population.

Authors:  Regie Lyn P Santos-Cortez; Ma Rina T Reyes-Quintos; Ma Leah C Tantoco; Izoduwa Abbe; Erasmo Gonzalo D V Llanes; Nadim J Ajami; Diane S Hutchinson; Joseph F Petrosino; Carmencita D Padilla; Romeo L Villarta; Teresa Luisa Gloria-Cruz; Abner L Chan; Eva Maria Cutiongco-de la Paz; Charlotte M Chiong; Suzanne M Leal; Generoso T Abes
Journal:  Otolaryngol Head Neck Surg       Date:  2016-08-02       Impact factor: 3.497

6.  Bacterial community variation in human body habitats across space and time.

Authors:  Elizabeth K Costello; Christian L Lauber; Micah Hamady; Noah Fierer; Jeffrey I Gordon; Rob Knight
Journal:  Science       Date:  2009-11-05       Impact factor: 47.728

7.  Haemophilus influenzae biofilm formation in chronic otitis media with effusion.

Authors:  Helen Van Hoecke; Ann-Sophie De Paepe; Edward Lambert; Jonas D Van Belleghem; Piet Cools; Leen Van Simaey; Pieter Deschaght; Mario Vaneechoutte; Ingeborg Dhooge
Journal:  Eur Arch Otorhinolaryngol       Date:  2016-03-05       Impact factor: 2.503

Review 8.  Burden of disease caused by otitis media: systematic review and global estimates.

Authors:  Lorenzo Monasta; Luca Ronfani; Federico Marchetti; Marcella Montico; Liza Vecchi Brumatti; Alessandro Bavcar; Domenico Grasso; Chiara Barbiero; Giorgio Tamburlini
Journal:  PLoS One       Date:  2012-04-30       Impact factor: 3.240

9.  Rare A2ML1 variants confer susceptibility to otitis media.

Authors:  Regie Lyn P Santos-Cortez; Charlotte M Chiong; Ma Rina T Reyes-Quintos; Ma Leah C Tantoco; Xin Wang; Anushree Acharya; Izoduwa Abbe; Arnaud P Giese; Joshua D Smith; E Kaitlynn Allen; Biao Li; Eva Maria Cutiongco-de la Paz; Marieflor Cristy Garcia; Erasmo Gonzalo D V Llanes; Patrick John Labra; Teresa Luisa I Gloria-Cruz; Abner L Chan; Gao T Wang; Kathleen A Daly; Jay Shendure; Michael J Bamshad; Deborah A Nickerson; Janak A Patel; Saima Riazuddin; Michele M Sale; Tasnee Chonmaitree; Zubair M Ahmed; Generoso T Abes; Suzanne M Leal
Journal:  Nat Genet       Date:  2015-06-29       Impact factor: 38.330

10.  Nasopharyngeal microbiota in infants with acute otitis media.

Authors:  Markus Hilty; Weihong Qi; Silvio D Brugger; Laurence Frei; Philipp Agyeman; Pascal M Frey; Suzanne Aebi; Kathrin Mühlemann
Journal:  J Infect Dis       Date:  2012-02-20       Impact factor: 5.226

View more
  10 in total

1.  FUT2 Variants Confer Susceptibility to Familial Otitis Media.

Authors:  Regie Lyn P Santos-Cortez; Charlotte M Chiong; Daniel N Frank; Allen F Ryan; Arnaud P J Giese; Tori Bootpetch Roberts; Kathleen A Daly; Matthew J Steritz; Wasyl Szeremeta; Melquiadesa Pedro; Harold Pine; Talitha Karisse L Yarza; Melissa A Scholes; Erasmo Gonzalo D V Llanes; Saira Yousaf; Norman Friedman; Ma Leah C Tantoco; Todd M Wine; Patrick John Labra; Jeanne Benoit; Amanda G Ruiz; Rhodieleen Anne R de la Cruz; Christopher Greenlee; Ayesha Yousaf; Jonathan Cardwell; Rachelle Marie A Nonato; Dylan Ray; Kimberly Mae C Ong; Edward So; Charles E Robertson; Jordyn Dinwiddie; Sheryl Mae Lagrana-Villagracia; Samuel P Gubbels; Rehan S Shaikh; Stephen P Cass; Elisabet Einarsdottir; Nanette R Lee; David A Schwartz; Teresa Luisa I Gloria-Cruz; Michael J Bamshad; Ivana V Yang; Juha Kere; Generoso T Abes; Jeremy D Prager; Saima Riazuddin; Abner L Chan; Patricia J Yoon; Deborah A Nickerson; Eva Maria Cutiongco-de la Paz; Sven-Olrik Streubel; Maria Rina T Reyes-Quintos; Herman A Jenkins; Petri Mattila; Kenny H Chan; Karen L Mohlke; Suzanne M Leal; Lena Hafrén; Tasnee Chonmaitree; Michele M Sale; Zubair M Ahmed
Journal:  Am J Hum Genet       Date:  2018-10-25       Impact factor: 11.025

2.  A2ML1 and otitis media: novel variants, differential expression, and relevant pathways.

Authors:  Eric D Larson; Jose Pedrito M Magno; Matthew J Steritz; Erasmo Gonzalo D V Llanes; Jonathan Cardwell; Melquiadesa Pedro; Tori Bootpetch Roberts; Elisabet Einarsdottir; Rose Anne Q Rosanes; Christopher Greenlee; Rachel Ann P Santos; Ayesha Yousaf; Sven-Olrik Streubel; Aileen Trinidad R Santos; Amanda G Ruiz; Sheryl Mae Lagrana-Villagracia; Dylan Ray; Talitha Karisse L Yarza; Melissa A Scholes; Catherine B Anderson; Anushree Acharya; Samuel P Gubbels; Michael J Bamshad; Stephen P Cass; Nanette R Lee; Rehan S Shaikh; Deborah A Nickerson; Karen L Mohlke; Jeremy D Prager; Teresa Luisa G Cruz; Patricia J Yoon; Generoso T Abes; David A Schwartz; Abner L Chan; Todd M Wine; Eva Maria Cutiongco-de la Paz; Norman Friedman; Katerina Kechris; Juha Kere; Suzanne M Leal; Ivana V Yang; Janak A Patel; Ma Leah C Tantoco; Saima Riazuddin; Kenny H Chan; Petri S Mattila; Maria Rina T Reyes-Quintos; Zubair M Ahmed; Herman A Jenkins; Tasnee Chonmaitree; Lena Hafrén; Charlotte M Chiong; Regie Lyn P Santos-Cortez
Journal:  Hum Mutat       Date:  2019-05-21       Impact factor: 4.878

3.  Otitis media susceptibility and shifts in the head and neck microbiome due to SPINK5 variants.

Authors:  Daniel N Frank; Arnaud P J Giese; Lena Hafren; Tori C Bootpetch; Talitha Karisse L Yarza; Matthew J Steritz; Melquiadesa Pedro; Patrick John Labra; Kathleen A Daly; Ma Leah C Tantoco; Wasyl Szeremeta; Maria Rina T Reyes-Quintos; Niaz Ahankoob; Erasmo Gonzalo D V Llanes; Harold S Pine; Sairah Yousaf; Diana Ir; Elisabet Einarsdottir; Rhodieleen Anne R de la Cruz; Nanette R Lee; Rachelle Marie A Nonato; Charles E Robertson; Kimberly Mae C Ong; Jose Pedrito M Magno; Alessandra Nadine E Chiong; Ma Carmina Espiritu-Chiong; Maria Luz San Agustin; Teresa Luisa G Cruz; Generoso T Abes; Michael J Bamshad; Eva Maria Cutiongco-de la Paz; Juha Kere; Deborah A Nickerson; Karen L Mohlke; Saima Riazuddin; Abner Chan; Petri S Mattila; Suzanne M Leal; Allen F Ryan; Zubair M Ahmed; Tasnee Chonmaitree; Michele M Sale; Charlotte M Chiong; Regie Lyn P Santos-Cortez
Journal:  J Med Genet       Date:  2020-07-24       Impact factor: 6.318

4.  Comparative Analysis of Microbiome in Nasopharynx and Middle Ear in Young Children With Acute Otitis Media.

Authors:  Qingfu Xu; Steve Gill; Lei Xu; Eduardo Gonzalez; Michael E Pichichero
Journal:  Front Genet       Date:  2019-11-19       Impact factor: 4.599

Review 5.  Recent Perspectives on Gene-Microbe Interactions Determining Predisposition to Otitis Media.

Authors:  Rahul Mittal; Sebastian V Sanchez-Luege; Shannon M Wagner; Denise Yan; Xue Zhong Liu
Journal:  Front Genet       Date:  2019-11-26       Impact factor: 4.599

6.  Ear microbiota and middle ear disease: a longitudinal pilot study of Aboriginal children in a remote south Australian setting.

Authors:  Patricia MacFarlane; Geraint B Rogers; Steven L Taylor; Lito E Papanicolas; Alyson Richards; Furdosa Ababor; Wan Xian Kang; Jocelyn M Choo; Charmaine Woods; Steve L Wesselingh; Eng H Ooi
Journal:  BMC Microbiol       Date:  2022-01-13       Impact factor: 3.605

7.  Microbiota Associated With Cholesteatoma Tissue in Chronic Suppurative Otitis Media.

Authors:  Daniel N Frank; Jose Pedrito M Magno; Karen Joyce S Velasco; Tori C Bootpetch; Jacob Ephraim D Salud; Kevin Jer V David; Aaron L Miller; Eljohn C Yee; Heather P Dulnuan; Richard B Pyles; Jan Alexeis C Lacuata; Jeric L Arbizo; Jennifer M Kofonow; Beatrice Guce; Kevin Michael D Mendoza; Charles E Robertson; Gabriel Martin S Ilustre; Alessandra Nadine E Chiong; Shi-Long Lu; Erik A Tongol; Nicole D Sacayan; Talitha Karisse L Yarza; Charlotte M Chiong; Regie Lyn P Santos-Cortez
Journal:  Front Cell Infect Microbiol       Date:  2022-04-19       Impact factor: 6.073

Review 8.  Of genes and microbes: solving the intricacies in host genomes.

Authors:  Jun Wang; Liang Chen; Na Zhao; Xizhan Xu; Yakun Xu; Baoli Zhu
Journal:  Protein Cell       Date:  2018-04-02       Impact factor: 14.870

9.  Multi-omic studies on missense PLG variants in families with otitis media.

Authors:  Tori C Bootpetch; Lena Hafrén; Christina L Elling; Erin E Baschal; Ani W Manichaikul; Harold S Pine; Wasyl Szeremeta; Melissa A Scholes; Stephen P Cass; Eric D Larson; Kenny H Chan; Rafaqat Ishaq; Jeremy D Prager; Rehan S Shaikh; Samuel P Gubbels; Ayesha Yousaf; Todd M Wine; Michael J Bamshad; Patricia J Yoon; Herman A Jenkins; Deborah A Nickerson; Sven-Olrik Streubel; Norman R Friedman; Daniel N Frank; Elisabet Einarsdottir; Juha Kere; Saima Riazuddin; Kathleen A Daly; Suzanne M Leal; Allen F Ryan; Petri S Mattila; Zubair M Ahmed; Michele M Sale; Tasnee Chonmaitree; Regie Lyn P Santos-Cortez
Journal:  Sci Rep       Date:  2020-09-14       Impact factor: 4.379

Review 10.  Reviewing the Pathogenic Potential of the Otitis-Associated Bacteria Alloiococcus otitidis and Turicella otitidis.

Authors:  Rachael Lappan; Sarra E Jamieson; Christopher S Peacock
Journal:  Front Cell Infect Microbiol       Date:  2020-02-14       Impact factor: 5.293

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.