Abstract Background Bacteria and fungi are believed to influence mucosal inflammation in chronic rhinosinusitis (CRS). However their presence and relationship to disease is debated. This study used multiple detection methods to compare microbial diversity and microbial abundance in healthy and diseased sinonasal mucosa. The utility of contemporary detection methods is also examined. Methods Sinonasal mucosa was analyzed from 38 CRS and 6 controls. Bacterial and fungal analysis was performed using conventional culture, molecular diagnostics (polymerase chain reaction coupled with electrospray ionization time-of-flight mass spectrometry) and fluorescence in situ hybridization . Results Microbes were detected in all samples, including controls, and were often polymicrobial. 33 different bacterial species were detected in CRS, 5 in control patients, with frequent recovery of anaerobes. Staphylococcus aureus and Propionibacterium acnes were the most common organisms in CRS and controls, respectively. Using a model organism, FISH had a sensitivity of 78%, and a specificity of 93%. Many species were detected in both CRS and controls however, microbial abundance was associated with disease manifestation. Conclusions This study highlights some cornerstones of microbial variations in healthy and diseased paranasal sinuses. Whilst the healthy sinus is clearly not sterile, it appears prevalence and abundance of organisms is critical in determining disease. Evidence from high-sensitivity techniques, limits the role of fungi in CRS to a small group of patients. Comparison with molecular analysis suggests that the detection threshold of FISH and culture is related to organism abundance and, furthermore, culture tends to select for rapidly growing organisms.
Interviews and laboratory testing were conducted for 168 contacts referred by former blood donors identified as seropositive for antibody to human T‐lymphotropic virus type I (HTLV‐I) or type II (HTLV‐II). Thirty‐two (28%) of 114 heterosexual contacts of seropositive donors, including 12 women and 20 men, were found to be antibody positive. None of 40 offspring (except one adult man who reported sexual contact in Puerto Rico) or 14 other (nonspousal) family members were seropositive. Thirty‐one of the seropositive contacts were typeable as having either HTLV‐I (52%) or HTLV‐II (48%). Assessment of couples found that the median duration of the sexual relationship was significantly longer (p = 0.03) for those in which both partners were infected than in discordant pairs. Analysis of risk history data for 22 infected couples revealed that, in three cases, risk factors (Japanese ancestry or sexual contact with an injecting drug user) could be identified in the women, but not in their male partners. Among couples in which the male had the greater risk history, the risk factor was either a history of transfusion, birth or sexual exposure in an endemic area, or injected drug use. Counseling strategies for individuals with HTLV‐I or HTLV‐II infection should take into account the relatively high seroprevalence in their partners and should address the potential for sexual transmission in both directions.
Pan-bacterial 16S rRNA microbiome surveys performed with massively parallel DNA sequencing technologies have transformed community microbiological studies. Current 16S profiling methods, however, fail to provide sufficient taxonomic resolution and accuracy to adequately perform species-level associative studies for specific conditions. This is due to the amplification and sequencing of only short 16S rRNA gene regions, typically providing for only family- or genus-level taxonomy. Moreover, sequencing errors often inflate the number of taxa present. Pacific Biosciences' (PacBio's) long-read technology in particular suffers from high error rates per base. Herein, we present a microbiome analysis pipeline that takes advantage of PacBio circular consensus sequencing (CCS) technology to sequence and error correct full-length bacterial 16S rRNA genes, which provides high-fidelity species-level microbiome data. Analysis of a mock community with 20 bacterial species demonstrated 100% specificity and sensitivity with regard to taxonomic classification. Examination of a 250-plus species mock community demonstrated correct species-level classification of > 90% of taxa, and relative abundances were accurately captured. The majority of the remaining taxa were demonstrated to be multiply, incorrectly, or incompletely classified. Using this methodology, we examined the microgeographic variation present among the microbiomes of six sinonasal sites, by both swab and biopsy, from the anterior nasal cavity to the sphenoid sinus from 12 subjects undergoing trans-sphenoidal hypophysectomy. We found greater variation among subjects than among sites within a subject, although significant within-individual differences were also observed. Propiniobacterium acnes (recently renamed Cutibacterium acnes) was the predominant species throughout, but was found at distinct relative abundances by site. Our microbial composition analysis pipeline for single-molecule real-time 16S rRNA gene sequencing (MCSMRT, https://github.com/jpearl01/mcsmrt ) overcomes deficits of standard marker gene-based microbiome analyses by using CCS of entire 16S rRNA genes to provide increased taxonomic and phylogenetic resolution. Extensions of this approach to other marker genes could help refine taxonomic assignments of microbial species and improve reference databases, as well as strengthen the specificity of associations between microbial communities and dysbiotic states.
First generation molecular diagnostics based on PCR suggested that the routine culture of bacteria was inadequate for the detection of many pathogens, particularly after antibiotic treatment or when associated with chronic infection and biofilm growth. These techniques, however, suffered from their own problems. False negative results were caused by inhibitors of the PCR process and by the overly specific nature of most simplex assays which require an a priori assumption on the part of the investigator as to which species to test for. False positives resulted from contamination, or carryover, of amplified DNA. Recently several new technologies have been developed and have resulted in “next generation” tests that overcome the problems associated with the earlier methods. We will provide an overview of two of these technologies and present our experience in their application to the diagnosis of orthopedic infections associated with arthroplasties and external fixations. 454-based deep 16S rDNA sequencing provides for a comprehensive and quantitative analysis of all bacterial species present in clinical specimens regardless of whether the species present have been previously identified. The results of this test can be used to improve the specificity of other tests such as the Ibis Universal Biosensor. The Ibis Universal Biosensor T-5000 system uses a highly multiplex PCR front end which is coupled to a highly sensitive electron spray ionization (ESI) time-of-flight (TOF) mass spectrometer (MS) which provides for the exact base composition of the amplified DNA permitting species and even strain-specific identification of bacterial and fungal pathogens through an interface with a massive DNA sequence database. This system therefore provides both great breadth of coverage, with exquisite specificity. Moreover, this system can identify multiple species within a specimen providing a rapid analysis of polymicrobial infections.
Background Haemophilus influenzae (Hi) colonizes the human respiratory tract and is an important pathogen associated with chronic obstructive pulmonary disease (COPD). Bacterial factors that interact with the human host may be important in the pathogenesis of COPD. These factors, however, have not been well defined. The overall goal of this study was to identify bacterial genetic elements with increased prevalence among H. influenzae strains isolated from patients with COPD compared to those isolated from the pharynges of healthy individuals. Methodology/Principal Findings Four nontypeable H. influenzae (NTHi) strains, two isolated from the airways of patients with COPD and two from a healthy individual, were subjected to whole genome sequencing using 454 FLX Titanium technology. COPD strain-specific genetic islands greater than 500 bp in size were identified by in silico subtraction. Open reading frames residing within these islands include known Hi virulence genes such as lic2b, hgbA, iga, hmw1 and hmw2, as well as genes encoding urease and other enzymes involving metabolic pathways. The distributions of seven selected genetic islands were assessed among a panel of 421 NTHi strains of both disease and commensal origins using a Library-on-a-Slide high throughput dot blot DNA hybridization procedure. Four of the seven islands screened, containing genes that encode a methyltransferase, a dehydrogenase, a urease synthesis enzyme, and a set of unknown short ORFs, respectively, were more prevalent in COPD strains than in colonizing strains with prevalence ratios ranging from 1.21 to 2.85 (p≤0.0002). Surprisingly, none of these sequences show increased prevalence among NTHi isolated from the airways of patients with cystic fibrosis. Conclusions/Significance Our data suggest that specific bacterial genes, many involved in metabolic functions, are associated with the ability of NTHi strains to survive in the lower airways of patients with COPD.
Trabajo presentado en el 7th European Conference on Prokaryotic and Fungal Genomics (ProkaGENOMICS), celebrado en Gottingen (Alemania), del 19 al 22 de septiembre de 2017)
The most widely used DNA-based method for bacterial strain typing, multi-locus sequence typing (MLST), lacks sufficient resolution to distinguish among many bacterial strains within a species. Here, we show that strain typing based on the presence or absence of distributed genes is able to resolve all completely sequenced genomes of six bacterial species. This was accomplished by the development of a clustering method, neighbour grouping, which is completely consistent with the lower-resolution MLST method, but provides far greater resolving power. Because the presence/absence of distributed genes can be determined by low-cost microarray analyses, it offers a practical, high-resolution alternative to MLST that could provide valuable diagnostic and prognostic information for pathogenic bacterial species.
Because there are no markers for hereditary pancreatitis (HP), diagnosis has relied on clinical features and inferences. Identification of the HP disease gene locus on chromosome 7q35 provides the first genetic marker for HP, allowing an accurate comparison of the clinical diagnosis of HP with the presence of a high-risk HP haplotype. Our objectives were to compare the clinical diagnosis of HP with inheritance of the HP gene and to characterize the common clinical features.A detailed questionnaire was administered to 102 study participants of a large HP kindred. Blood samples were taken for DNA extraction and high-risk haplotype determination. Clinical findings were compared with the presence of a high-risk haplotype.A family tree of more than 500 members and eight generations was constructed, and clinical features of the 102 participants were determined. HP occurred before the age of 5 yr in 58% of subjects, who presented with common symptoms of abdominal pain, nausea/vomiting, and frequent attacks. Thirty-five probands, of whom 80% had clinical symptoms, carried the high-risk haplotype, confirming previous estimates of 80% penetrance. Thirty-two of the study participants had been clinically diagnosed with HP, whereas 70 were clinically unaffected. With regard to the presence of the high-risk haplotype, 87.5% of the clinically diagnosed patients were affected by HP (true positive), whereas 12.5% did not carry the high-risk haplotype (false positive). Seven obligate carriers were identified through DNA analysis; three had previously been unrecognized because of lack of affected offspring.The diagnosis of hereditary pancreatitis on clinical grounds alone may be inaccurate in less severe cases, as is the exclusion of carrier status through family tree analysis. Therefore, a definitive diagnosis of hereditary pancreatitis in equivocal cases or exclusion of a carrier state should include analysis of genetic markers.
