The use of broad-spectrum detection methods identified pathogens in more than one-third of children hospitalized with community-acquired pneumonia without a previously identified cause.
“Pathogens vary by age but viruses are the most common cause of CAP in children less than or equal to 5 years, especially in the absence of lobar pneumonia and pleural effusion. However, a pathogen cannot be identified in 14% to 23% of children with CAP, even with extensive testing,” Robert Schlaberg, MD, MPH, from the department of pathology at the University of Utah and the ARUP Institute for Clinical and Experimental Pathology, and colleagues wrote. “More effective pathogen identification will improve our understanding of pneumonia and guide treatment and site of care decisions.”
To distinguish the pathogens in children with CAP and asymptomatic controls whose tests were negative, the researchers tested for 19 viral families in nasopharyngeal and oropharyngeal specimens using next-generation sequencing (RNA-seq) and pan viral group (PVG) PCR. Seventy children younger than 5 years of age with CAP and 90 asymptomatic controls were included in the study.
For patients diagnosed with CAP without an identified etiology, the two types of swabs could identify viruses in 34% of patients, including human parainfluenza virus 4, human bocavirus, Coxsackieviruses, rhinovirus A, and rhinovirus C. More RNA viruses were detected with RNA-seq, and PVG PCR detected more DNA viruses in patients with CAP.
Putative pathogens by RNA-seq and/or PVG PCRin children with pneumonia with no identifiable etiology

RNA-seq was also able to identify 90% of previously unknown pathogens; PVG PCR identified 57%. When human rhinoviruses and Mycoplasma pneumoniae were excluded, PVG PCR was more effective at detecting viruses (78%).
“Data from our proof of concept study of upper respiratory specimens suggest that RNA-seq and PVG PCR enable more comprehensive pathogen detection compared with virus-specific, real-time PCR–based tests,” the researchers wrote. “While specimens from the upper respiratory can be collected without invasive procedure, they are most useful for identifying viral infections and have limited utility in testing for bacterial pneumonia.” – by Katherine Bortz
Schlaberg R, Queen K, Simmon K, Tardif K, Stockmann C, Flygare S, Kennedy B, Voelkerding K, Bramley A, Zhang J, Eilbeck K, Yandell M, Jain S, Pavia AT, Tong S, Ampofo K. (2017) Viral Pathogen Detection by Metagenomics and Pan Viral Group PCR in Children with Pneumonia Lacking Identifiable Etiology. J Infect Dis [Epub ahead of print]. [abstract]
Source – Healio.com
The use of broad-spectrum detection methods identified pathogens in more than one-third of children hospitalized with community-acquired pneumonia without a previously identified cause.
To distinguish the pathogens in children with CAP and asymptomatic controls whose tests were negative, the researchers tested for 19 viral families in nasopharyngeal and oropharyngeal specimens using next-generation sequencing (RNA-seq) and pan viral group (PVG) PCR. Seventy children younger than 5 years of age with CAP and 90 asymptomatic controls were included in the study.
For patients diagnosed with CAP without an identified etiology, the two types of swabs could identify viruses in 34% of patients, including human parainfluenza virus 4, human bocavirus, Coxsackieviruses, rhinovirus A, and rhinovirus C. More RNA viruses were detected with RNA-seq, and PVG PCR detected more DNA viruses in patients with CAP.
Putative pathogens by RNA-seq and/or PVG PCRin children with pneumonia with no identifiable etiology
RNA-seq was also able to identify 90% of previously unknown pathogens; PVG PCR identified 57%. When human rhinoviruses and Mycoplasma pneumoniae were excluded, PVG PCR was more effective at detecting viruses (78%).
Schlaberg R, Queen K, Simmon K, Tardif K, Stockmann C, Flygare S, Kennedy B, Voelkerding K, Bramley A, Zhang J, Eilbeck K, Yandell M, Jain S, Pavia AT, Tong S, Ampofo K. (2017) Viral Pathogen Detection by Metagenomics and Pan Viral Group PCR in Children with Pneumonia Lacking Identifiable Etiology. J Infect Dis [Epub ahead of print]. [abstract]
Source – Healio.com
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The use of broad-spectrum detection methods identified pathogens in more than one-third of children hospitalized with community-acquired pneumonia without a previously identified cause.
To distinguish the pathogens in children with CAP and asymptomatic controls whose tests were negative, the researchers tested for 19 viral families in nasopharyngeal and oropharyngeal specimens using next-generation sequencing (RNA-seq) and pan viral group (PVG) PCR. Seventy children younger than 5 years of age with CAP and 90 asymptomatic controls were included in the study.
For patients diagnosed with CAP without an identified etiology, the two types of swabs could identify viruses in 34% of patients, including human parainfluenza virus 4, human bocavirus, Coxsackieviruses, rhinovirus A, and rhinovirus C. More RNA viruses were detected with RNA-seq, and PVG PCR detected more DNA viruses in patients with CAP.
Putative pathogens by RNA-seq and/or PVG PCRin children with pneumonia with no identifiable etiology
RNA-seq was also able to identify 90% of previously unknown pathogens; PVG PCR identified 57%. When human rhinoviruses and Mycoplasma pneumoniae were excluded, PVG PCR was more effective at detecting viruses (78%).
Schlaberg R, Queen K, Simmon K, Tardif K, Stockmann C, Flygare S, Kennedy B, Voelkerding K, Bramley A, Zhang J, Eilbeck K, Yandell M, Jain S, Pavia AT, Tong S, Ampofo K. (2017) Viral Pathogen Detection by Metagenomics and Pan Viral Group PCR in Children with Pneumonia Lacking Identifiable Etiology. J Infect Dis [Epub ahead of print]. [abstract]
Source – Healio.com
Related Posts
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Atlas of the brain’s striatum could guide researchers to new drug treatments
Immune cells offer insights on billion-dollar virus
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Unlocking the past – new method helps gain insights into old tissue
Novel AI model trained on RNA-Seq data accurately detects key gene mutations and predicts biomarkers across 32 cancer types
Transcriptomic aging clock reveals age-related molecular patterns in opioid dependence
RNA sequencing helps predict stem cell transplant benefit in pediatric AML
Protein ‘switch’ determines whether liposarcoma cells will become aggressive
Precursor tRNAs sense temperature changes: heat stress-induced capped pre-tRNAs suppress protein synthesis
Ketamine increases neuroplasticity in female mice but not in males
Somatic mutations linked to vascular damage in progeria
Scientists map dormant cancer cells’ hideouts, opening new targets for treatment
Soluble signals released by neighboring cells direct how the human kidney is built
Genetics influence how cancer arises – and how it evolves
RNA-based testing uncovers extraordinary diversity in mutations driving lung cancer
Study offers new insights into why ex-smokers remain at elevated risk of lung disease
Learning the grammar of gene regulation
New findings could transform new treatment for rare brain tumor astroblastoma
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