Search

Background Febrile neutropenia (FN) is a frequent complication in immunocompromised patients. However, causative microorganisms are detected in only 10% of patients. This study aimed to detect the microorganisms that cause FN using next-generation sequencing (NGS) to identify the genome derived from pathogenic microorganisms in the bloodstream. Here, we implemented a metagenomic approach to comprehensively analyze microorganisms present in clinical samples from patients with FN. Methods FN is defined as a neutrophil count <500 cells/µL and fever ≥37.5°C. Plasma/serum samples of 112 pediatric patients with FN and 10 patients with neutropenia without fever (NE) were sequenced by NGS and analyzed by a metagenomic pipeline, PATHDET. Results The putative pathogens were detected by NGS in 5 of 10 FN patients with positive blood culture results, 15 of 87 FN patients (17%) with negative blood culture results, and 3 of 8 NE patients. Several bacteria that were common in the oral, skin, and gut flora were commonly detected in blood samples, suggesting translocation of the human microbiota to the bloodstream in the setting of neutropenia. The cluster analysis of the microbiota in blood samples using NGS demonstrated that the representative bacteria of each cluster were mostly consistent with the pathogens in each patient. Conclusions NGS technique has great potential for detecting causative pathogens in patients with FN. Cluster analysis, which extracts characteristic microorganisms from a complex microbial population, may be effective to detect pathogens in minute quantities of microbiota, such as those from the bloodstream. [ABSTRACT FROM AUTHOR]

Background Febrile neutropenia (FN) is a common complication in patients with solid tumors and hematologic malignancies. Identification of the causative microorganisms would contribute to optimization of antimicrobial treatment and thus improve the outcome of FN. However, causative microorganisms are detected in only 10% to 20% of FN patients. Next-generation sequencing (NGS) allows us to comprehensively analyze all microorganisms present in a clinical sample. In this study, we aimed to utilize NGS for the detection of microbial pathogens in infectious diseases and elucidate the infection source in FN. Methods FN is defined by two characteristics: (1) neutrophils count < 500/µL, and (2) fever ≥38.0°C. From 2016 to 2018, 112 plasma/serum samples of pediatric FN patients (11 positive blood cultures) were analyzed. Serum samples from 10 neutropenic patients without fever were also analyzed as controls. Shotgun sequencing method was applied for these samples. The metagenomic analyses were performed through the pipeline PATHDET, which has been newly established in our laboratory. Diagnosis based on NGS results was made based on the following criteria: (1) number of reads from all pathogens per million reads (PR) >650, (2) a specific pathogen's reads per million reads (RPM) >200, and (3) diversity index >3.0. The NGS results were compared with those from blood culture. Results Sequencing reads of bacteria isolated through blood culture were identified by NGS in all 11 plasma/serum samples leading to the diagnosis of FN. The causative pathogens were diagnosed by NGS using the above criteria in 11 patients. However, the results were consistent with those of blood culture in only 4 samples. Of 101 cases with negative blood culture results, the causative pathogens were detected in 17 cases: Acinetobacter soli (2 cases), Burkholderia cepacian (1 case), Klebsiella variicola (1 case), and Roseomonas sp. (1 case) were identified at the species level. In addition, 7 cases (e.g. Acinetobacter) were identified at the genus level, and 5 cases (e.g. Enterobacteriaceae) were identified at the family level. Conclusion Metagenomic NGS technique has great potential for detecting causative pathogens with greater efficiency than the conventional methods. Disclosures All authors: No reported disclosures. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]