scholarly journals Refinement of microbiota analysis of specimens from patients with respiratory infections using next-generation sequencing

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hiroaki Ikegami ◽  
Shingo Noguchi ◽  
Kazumasa Fukuda ◽  
Kentaro Akata ◽  
Kei Yamasaki ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Respiratory Infections ◽  
Statistical Significance ◽  
Bacterial Species ◽  
Bacterial Flora ◽  
Lung Abscess ◽  
Next Generation ◽  
Causative Agents ◽  
Sanger Method ◽  
Generation Sequencing

AbstractNext-generation sequencing (NGS) technologies have been applied in bacterial flora analysis. However, there is no standardized protocol, and the optimal clustering threshold for estimating bacterial species in respiratory infection specimens is unknown. This study was conducted to investigate the optimal threshold for clustering 16S ribosomal RNA gene sequences into operational taxonomic units (OTUs) by comparing the results of NGS technology with those of the Sanger method, which has a higher accuracy of sequence per single read than NGS technology. This study included 45 patients with pneumonia with aspiration risks and 35 patients with lung abscess. Compared to Sanger method, the concordance rates of NGS technology (clustered at 100%, 99%, and 97% homology) with the predominant phylotype were 78.8%, 71.3%, and 65.0%, respectively. With respect to the specimens dominated by the Streptococcus mitis group, containing several important causative agents of pneumonia, Bray Curtis dissimilarity revealed that the OTUs obtained at 100% clustering threshold (versus those obtained at 99% and 97% thresholds; medians of 0.35, 0.69, and 0.71, respectively) were more similar to those obtained by the Sanger method, with statistical significance (p < 0.05). Clustering with 100% sequence identity is necessary when analyzing the microbiota of respiratory infections using NGS technology.

scholarly journals The Important Role of Breast Microbiota in Breast Cancer

2020 ◽  
Author(s):  
Kar-Yan Su ◽  
Wai-Leng Lee ◽  
Vinod Balasubramaniam
Keyword(s):  
Breast Cancer ◽  
Next Generation Sequencing ◽  
Racial Differences ◽  
Breast Tissue ◽  
Bacterial Species ◽  
Cancer Therapies ◽  
Next Generation ◽  
Sequencing Technologies ◽  
Health And Disease ◽  
Generation Sequencing

One in eight women will be diagnosed with breast cancer (BC) in their lifetime, resulting in over 2 million cases annually. BC is the most common cancer among women. Unfortunately, the etiology of majority of cases remains unknown. Recently, evidence has shown that the human microbiota plays an important role in health and disease. Intriguingly, studies have revealed the presence of microorganisms in human breast tissue, which was previously presumed to be sterile. Next-generation sequencing technologies have paved way for the investigation of breast microbiota, uncovering bacterial signatures that are associated with BC. Some of the bacterial species were found to possess pro-carcinogenic and/or anti-carcinogenic properties, suggesting that the breast microbiota has potentially crucial roles in maintenance of breast health. In this review, we summarize the recent findings on breast tissue microbiota and its interplay with BC. Bacterial signatures identified via next-generation sequencing as well as their impact on breast carcinogenesis and cancer therapies are reviewed. Correlation of breast tissue microbiota and other factors, such as geographical and racial differences, in BC is discussed. Additionally, we discuss the future directions of research on breast microbiota as well as its potential role in prevention, diagnosis and treatment of BC.

Characterizing the Microbiome of the Contracted Breast Capsule Using Next Generation Sequencing

2020 ◽  
Author(s):  
Jonathan Cook ◽  
Casey J Holmes ◽  
Roger Wixtrom ◽  
Martin I Newman ◽  
Jason N Pozner
Keyword(s):  
Next Generation Sequencing ◽  
Capsular Contracture ◽  
Bacterial Species ◽  
Fungal Species ◽  
Augmentation Mammoplasty ◽  
Next Generation ◽  
Level Of Evidence ◽  
Cutibacterium Acnes ◽  
Microbial Dna ◽  
Generation Sequencing

Abstract Background Recent work suggests that bacterial biofilms play a role in capsular contracture (CC). However, traditional culture techniques provide only a limited understanding of the bacterial communities present within the contracted breast. Next generation sequencing (NGS) represents an evolution of polymerase chain reaction technology that can sequence all DNA present in a given sample. Objectives The aim of this study was to utilize NGS to characterize the bacterial microbiome of the capsule in patients with CC following cosmetic breast augmentation. Methods We evaluated 32 consecutive patients with Baker grade III or IV CC following augmentation mammoplasty. Specimens were obtained from all contracted breasts (n = 53) during capsulectomy. Tissue specimens from contracted capsules as well as intraoperative swabs of the breast capsule and implant surfaces were obtained. Samples were sent to MicroGenDX Laboratories (Lubbock, TX) for NGS. Results Specimens collected from 18 of 32 patients (56%) revealed the presence of microbial DNA. The total number of positive samples was 22 of 53 (42%). Sequencing identified a total of 120 unique bacterial species and 6 unique fungal species. Specimens with microbial DNA yielded a mean [standard deviation] of 8.27 [4.8] microbial species per patient. The most frequently isolated species were Escherichia coli (25% of all isolates), Diaphorobacter nitroreducens (12%), Cutibacterium acnes (12%), Staphylococcus epidermidis (11%), fungal species (7%), and Staphylococcus aureus (6%). Conclusions NGS enables characterization of the bacterial ecosystem surrounding breast implants in unprecedented detail. This is a critical step towards understanding the role this microbiome plays in the development of CC. Level of Evidence: 4

scholarly journals Next-generation sequencing analysis of bacterial flora in bovine protothecal mastitic milk and feces

2019 ◽  
Vol 81 (11) ◽  
pp. 1547-1551 ◽  
Author(s):  
Ayumi MIURA ◽  
Tomomi KURUMISAWA ◽  
Rui KANO ◽  
Takaaki ITO ◽  
Kazuyuki SUZUKI ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Bacterial Flora ◽  
Sequencing Analysis ◽  
Next Generation ◽  
Next Generation Sequencing Analysis ◽  
Mastitic Milk ◽  
Generation Sequencing

scholarly journals Metagenomic analysis using next-generation sequencing of pathogens in bronchoalveolar lavage fluid from pediatric patients with respiratory failure

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Suguru Takeuchi ◽  
Jun-ichi Kawada ◽  
Kazuhiro Horiba ◽  
Yusuke Okuno ◽  
Toshihiko Okumura ◽  
...  
Keyword(s):  
Respiratory Failure ◽  
Next Generation Sequencing ◽  
Bronchoalveolar Lavage ◽  
Bronchoalveolar Lavage Fluid ◽  
Pediatric Patients ◽  
Respiratory Infections ◽  
Sequence Data ◽  
Lavage Fluid ◽  
Next Generation ◽  
Generation Sequencing

Abstract Next-generation sequencing (NGS) has been applied in the field of infectious diseases. Bronchoalveolar lavage fluid (BALF) is considered a sterile type of specimen that is suitable for detecting pathogens of respiratory infections. The aim of this study was to comprehensively identify causative pathogens using NGS in BALF samples from immunocompetent pediatric patients with respiratory failure. Ten patients hospitalized with respiratory failure were included. BALF samples obtained in the acute phase were used to prepare DNA- and RNA-sequencing libraries. The libraries were sequenced on MiSeq, and the sequence data were analyzed using metagenome analysis tools. A mean of 2,041,216 total reads were sequenced for each library. Significant bacterial or viral sequencing reads were detected in eight of the 10 patients. Furthermore, candidate pathogens were detected in three patients in whom etiologic agents were not identified by conventional methods. The complete genome of enterovirus D68 was identified in two patients, and phylogenetic analysis suggested that both strains belong to subclade B3, which is an epidemic strain that has spread worldwide in recent years. Our results suggest that NGS can be applied for comprehensive molecular diagnostics as well as surveillance of pathogens in BALF from patients with respiratory infection.

scholarly journals Detection and identification of Acanthamoeba and other non-viral causes of infectious keratitis in corneal scrapings by real-time PCR and next-generation sequencing-based 16S-18S gene analysis

2020 ◽  
Author(s):  
Dennis Back Holmgaard ◽  
Celine Barnadas ◽  
Seyed Hossein Mirbarati ◽  
Lee O’Brien Andersen ◽  
Henrik Vedel Nielsen ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Real Time ◽  
Real Time Pcr ◽  
Clinical Relevance ◽  
Bacterial Species ◽  
Screening Method ◽  
Infectious Keratitis ◽  
Next Generation ◽  
Specificity And Sensitivity ◽  
Generation Sequencing

Acanthamoeba is a free-living amoeba of extensive genetic diversity. It may cause infectious keratitis (IK), which can also be caused by bacteria, fungi, and viruses. High diagnostic sensitivity is essential to establish an early diagnosis of Acanthamoeba-associated keratitis. Here, we investigated the applicability of next-generation sequencing (NGS)-based ribosomal gene detection and differentiation (16S-18S) compared with specific real-time PCR for detection of Acanthamoeba. Two hundred DNAs extracted from corneal scrapings and screened by Acanthamoeba-specific real-time PCR were analyzed using an in-house 16S-18S NGS assay. Of these, 24 were positive using specific real-time PCR, 21 of which were positive using the NGS assay. Compared with real-time PCR; the specificity and sensitivity of the NGS assay were 100% and 88%, respectively. Genotypes identified by the NGS assay included T4 (n = 19) and T6 (n = 2). Fungal and bacterial species of potential clinical relevance were identified in 31 of the samples negative for Acanthamoeba, exemplified by Pseudomonas aeruginosa (n = 11), Moraxella spp. (n = 6), Staphylococcus aureus (n = 2), Fusarium spp. (n = 4), and Candida albicans (n = 1). Conclusively, the 16S-18S assay was slightly less sensitive than real-time PCR in detecting Acanthamoeba-specific DNA in corneal scrapings. Robust information on genotype was provided by the NGS assay, and other pathogens of potential clinical relevance were identified in 16% of the samples negative for Acanthamoeba. NGS-based detection of ribosomal genes in corneal scrapings could be an efficient screening method for detecting non-viral causes of IK, including Acanthamoeba.

scholarly journals Bacteriome Identified by Next-Generation Sequencing in Saliva, Dental Plaque, and Tumor Tissue of Patients with Oral Squamous Cell Carcinoma

2021 ◽  
Vol 15 (1) ◽  
pp. 98-110
Author(s):  
Alveiro Erira ◽  
Dabeiba Adriana García Robayo ◽  
Andrés Ignacio Chalá ◽  
Andrei Moreno Torres ◽  
Eliana Elisa Muñoz Lopez ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Next Generation Sequencing ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Legionella Pneumophila ◽  
Dental Plaque ◽  
Bacterial Species ◽  
Next Generation ◽  
Generation Sequencing

Background: Oral squamous cell carcinoma (OSCC) is the sixth most common cancer in the world, and the bacterial microbiome has been considered a risk factor that could play an important role in carcinogenesis. Objective: A bacteriome study was performed by next-generation sequencing in dental plaque, saliva, and tumor samples of 10 OSCC patients and compared with bacteriome in dental plaque and saliva of 10 patients without OSCC. Methods: DNA was extracted from all samples and sequenced by Illumina technology MiSeq™. Bioinformatic analyzes were performed for evaluated sequence quality, alpha and beta diversity, bidirectional analysis of variance (p <0.05), and principal component analysis. After establishing bacterial profiles associated with each sample and population, intragroup and intergroup comparisons were carried out. For bacteria identification compatible with eubiosis and dysbiosis processes, a screening was performed based on the frequency of appearance in all patient samples with and without OSCC. Lastly, frequency, average, standard deviation, Chi-square, and Mann Whitney test were calculated. Results: Out of the identified 1,231 bacteria in the populations under study, 45 bacterial species were selected, of which 34 were compatible with eubiosis, and 11 were compatible with dysbiosis. Among the bacteria compatible with eubiosis were species of Lactobacillus and Streptococcus, Chromobacterium violaceum, Enterobacter asburiae, Mycobacterium chubuense, Mycoplasma penetrans, and Brachyspira intermedia. Among the species associated with dysbiosis,  Providencia stuartii, Capnocytophaga canimorsus, Legionella pneumophila, and Mycoplasma hominis were notable. Conclusion: Thirty-four bacterial species may be associated with eubiosis or healthy states and 11 bacterial species could be associated with dysbiosis or pathogenic state, OSCC.

scholarly journals How Do Advanced Molecular Tests Compare to Routine Clinical Laboratory Evaluation of CSF in Meningoencephalitis? A Study in 10 Urban Emergency Departments Across the USA

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S8-S9 ◽  
Author(s):  
Toby L Merlin ◽  
Scott Chancey ◽  
Yueli Zheng ◽  
Brad Bowzard ◽  
Leah Fischer ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Pilot Study ◽  
Emergency Departments ◽  
Clinical Laboratory ◽  
Targeted Sequencing ◽  
Laboratory Evaluation ◽  
Next Generation ◽  
Molecular Tests ◽  
Causative Agents ◽  
Generation Sequencing

Abstract Background The EMERGEncy ID Net Study Group is investigating whether advanced molecular tests (AMT) increase the detection of causative agents in the CSF of patients presenting with meningoencephalitis (ME). We report findings from a pilot study using AMT on 18 CSF samples from 10 US Urban Emergency Departments. The purpose of the pilot was to compare the performance of these four AMT to established clinical laboratory methods. Methods We investigated four AMT: (1) BioFire FilmArray ME Panel targeting 14 causative agents; (2) an in-house target-directed next generation sequencing assay targeting 25 agents; (3) a microarray capable of detecting &gt;2,500 agents; and (4) deep metagenomic next generation sequencing. For targeted sequencing, loci from 12 DNA-based and 13 RNA-based pathogens were amplified from the extracts by multiplex PCR. All sequencing was performed on an Illumina MiSeq using 500 cycle v2 Reagent Kits. Reads from the targeted sequencing were aligned to the 25 specific reference target sequences using Bowtie2 while metagenomics reads were processed with the taxonomic sequence classifying software Kraken. For microarray analysis, Lawrence Livermore Microbial Detection Array v2 arrays were hybridized with Cy3-labeled DNA or cDNA. Scanned images of arrays were analyzed by CLiMax 3.1. Results Eight CSF samples had results positive for well-established causes of ME from prior testing (Table). The pilot study demonstrated none of the four AMT detected all causative agents in the eight CSF samples known to have well-established causes of ME. BioFire and targeted sequencing performed best, both detecting 6/8, metagenomics deep sequencing detected 3/8, and microarray detected 1/8. Conclusion Despite the sophistication of AMT, they cannot detect pathogens they do not target, that are present in small numbers, or that have been eliminated from the CSF by the immune response. Despite the theoretical potential for microarray and metagenomic sequencing to detect thousands of different agents, the agents probably must be present at high levels for detection. Disclosures All authors: No reported disclosures.

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