Pathogen transcriptional profile in nasopharyngeal aspirates of children with acute respiratory tract infection
Highlights • nCounter enables detection of pathogen transcripts in NPA with low RNA input. • nCounter detects, in a single reaction, the presence of multiple pathogens in NPA. • nCounter displayed a good agreement with Real-Time PCR for RSV.
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Published in | Journal of clinical virology Vol. 69; pp. 190 - 196 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
01.08.2015
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Abstract | Highlights • nCounter enables detection of pathogen transcripts in NPA with low RNA input. • nCounter detects, in a single reaction, the presence of multiple pathogens in NPA. • nCounter displayed a good agreement with Real-Time PCR for RSV. |
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AbstractList | •
nCounter enables detection of pathogen transcripts in NPA with low RNA input.
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nCounter detects, in a single reaction, the presence of multiple pathogens in NPA.
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nCounter displayed a good agreement with Real-Time PCR for RSV. BACKGROUNDAcute respiratory tract infections (ARI) present a significant morbidity and pose a global health burden. Patients are frequently treated with antibiotics although ARI are most commonly caused by virus, strengthening the need for improved diagnostic methods. OBJECTIVESDetect viral and bacterial RNA in nasopharyngeal aspirates (NPA) from children aged 6-23 months with ARI using nCounter. STUDY DESIGNA custom-designed nCounter probeset containing viral and bacterial targets was tested in NPA of ARI patients. RESULTSInitially, spiked control viral RNAs were detectable in ≥6.25 ng input RNA, indicating absence of inhibitors in NPA. nCounter applied to a larger NPA sample (n=61) enabled the multiplex detection of different pathogens: RNA viruses Parainfluenza virus (PIV 1-3) and RSV A-B in 21%, Human metapneumovirus (hMPV) in 5%, Bocavirus (BoV), CoV, Influenza virus (IV) A in 3% and, Rhinovirus (RV) in 2% of samples, respectively. RSV A-B was confirmed by Real Time PCR (86.2-96.9% agreement). DNA virus (AV) was detected at RNA level, reflecting viral replication, in 10% of samples. Bacterial transcripts from Staphylococcus aureus, Haemophilus influenzae, Streptococcus pneumoniae, Moraxella catarrhalis, Mycoplasma pneumoniae and Chlamydophila pneumoniae were detected in 77, 69, 26, 8, 3 and 2% of samples, respectively. CONCLUSIONnCounter is robust and sensitive for the simultaneous detection of viral (both RNA and DNA) and bacterial transcripts in NPA with low RNA input (<10 ng). This medium-throughput technique will increase our understanding of ARI pathogenesis and may provide an evidence-based approach for the targeted and rational use of antibiotics in pediatric ARI. Highlights • nCounter enables detection of pathogen transcripts in NPA with low RNA input. • nCounter detects, in a single reaction, the presence of multiple pathogens in NPA. • nCounter displayed a good agreement with Real-Time PCR for RSV. •nCounter enables detection of pathogen transcripts in NPA with low RNA input.•nCounter detects, in a single reaction, the presence of multiple pathogens in NPA.•nCounter displayed a good agreement with Real-Time PCR for RSV. Acute respiratory tract infections (ARI) present a significant morbidity and pose a global health burden. Patients are frequently treated with antibiotics although ARI are most commonly caused by virus, strengthening the need for improved diagnostic methods. Detect viral and bacterial RNA in nasopharyngeal aspirates (NPA) from children aged 6–23 months with ARI using nCounter. A custom-designed nCounter probeset containing viral and bacterial targets was tested in NPA of ARI patients. Initially, spiked control viral RNAs were detectable in ≥6.25ng input RNA, indicating absence of inhibitors in NPA. nCounter applied to a larger NPA sample (n=61) enabled the multiplex detection of different pathogens: RNA viruses Parainfluenza virus (PIV 1–3) and RSV A-B in 21%, Human metapneumovirus (hMPV) in 5%, Bocavirus (BoV), CoV, Influenza virus (IV) A in 3% and, Rhinovirus (RV) in 2% of samples, respectively. RSV A-B was confirmed by Real Time PCR (86.2–96.9% agreement). DNA virus (AV) was detected at RNA level, reflecting viral replication, in 10% of samples. Bacterial transcripts from Staphylococcus aureus, Haemophilus influenzae, Streptococcus pneumoniae, Moraxella catarrhalis, Mycoplasma pneumoniae and Chlamydophila pneumoniae were detected in 77, 69, 26, 8, 3 and 2% of samples, respectively. nCounter is robust and sensitive for the simultaneous detection of viral (both RNA and DNA) and bacterial transcripts in NPA with low RNA input (<10ng). This medium-throughput technique will increase our understanding of ARI pathogenesis and may provide an evidence-based approach for the targeted and rational use of antibiotics in pediatric ARI. Acute respiratory tract infections (ARI) present a significant morbidity and pose a global health burden. Patients are frequently treated with antibiotics although ARI are most commonly caused by virus, strengthening the need for improved diagnostic methods. Detect viral and bacterial RNA in nasopharyngeal aspirates (NPA) from children aged 6-23 months with ARI using nCounter. A custom-designed nCounter probeset containing viral and bacterial targets was tested in NPA of ARI patients. Initially, spiked control viral RNAs were detectable in ≥6.25 ng input RNA, indicating absence of inhibitors in NPA. nCounter applied to a larger NPA sample (n=61) enabled the multiplex detection of different pathogens: RNA viruses Parainfluenza virus (PIV 1-3) and RSV A-B in 21%, Human metapneumovirus (hMPV) in 5%, Bocavirus (BoV), CoV, Influenza virus (IV) A in 3% and, Rhinovirus (RV) in 2% of samples, respectively. RSV A-B was confirmed by Real Time PCR (86.2-96.9% agreement). DNA virus (AV) was detected at RNA level, reflecting viral replication, in 10% of samples. Bacterial transcripts from Staphylococcus aureus, Haemophilus influenzae, Streptococcus pneumoniae, Moraxella catarrhalis, Mycoplasma pneumoniae and Chlamydophila pneumoniae were detected in 77, 69, 26, 8, 3 and 2% of samples, respectively. nCounter is robust and sensitive for the simultaneous detection of viral (both RNA and DNA) and bacterial transcripts in NPA with low RNA input (<10 ng). This medium-throughput technique will increase our understanding of ARI pathogenesis and may provide an evidence-based approach for the targeted and rational use of antibiotics in pediatric ARI. Background Acute respiratory tract infections (ARI) present a significant morbidity and pose a global health burden. Patients are frequently treated with antibiotics although ARI are most commonly caused by virus, strengthening the need for improved diagnostic methods. Objectives Detect viral and bacterial RNA in nasopharyngeal aspirates (NPA) from children aged 6-23 months with ARI using nCounter. Study design A custom-designed nCounter probeset containing viral and bacterial targets was tested in NPA of ARI patients. Results Initially, spiked control viral RNAs were detectable in greater than or equal to 6.25ng input RNA, indicating absence of inhibitors in NPA. nCounter applied to a larger NPA sample (n =61) enabled the multiplex detection of different pathogens: RNA viruses Parainfluenza virus (PIV 1-3) and RSV A-B in 21%, Human metapneumovirus (hMPV) in 5%, Bocavirus (BoV), CoV, Influenza virus (IV) A in 3% and, Rhinovirus (RV) in 2% of samples, respectively. RSV A-B was confirmed by Real Time PCR (86.2-96.9% agreement). DNA virus (AV) was detected at RNA level, reflecting viral replication, in 10% of samples. Bacterial transcripts from Staphylococcus aureus, Haemophilus influenzae, Streptococcus pneumoniae, Moraxella catarrhalis, Mycoplasma pneumoniae and Chlamydophila pneumoniae were detected in 77, 69, 26, 8, 3 and 2% of samples, respectively. Conclusion nCounter is robust and sensitive for the simultaneous detection of viral (both RNA and DNA) and bacterial transcripts in NPA with low RNA input (<10ng). This medium-throughput technique will increase our understanding of ARI pathogenesis and may provide an evidence-based approach for the targeted and rational use of antibiotics in pediatric ARI. |
Author | Barral, Aldina Fukutani, Kiyoshi F Nascimento-Carvalho, Cristiana M Dierckx, Tim Van Ranst, Marc Bouzas, Maiara L Oliveira, Juliana R Khouri, Ricardo Van Weyenbergh, Johan de Oliveira, Camila I Houspie, Lieselot Van der Gucht, Winke Wollants, Elke |
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CitedBy_id | crossref_primary_10_1016_j_cmi_2016_11_001 crossref_primary_10_1080_23744235_2018_1463451 crossref_primary_10_1128_mBio_01235_16 crossref_primary_10_1007_s42770_020_00229_w crossref_primary_10_1126_scitranslmed_aad9922 crossref_primary_10_1038_s41467_021_26500_8 crossref_primary_10_1016_j_jcv_2018_07_003 crossref_primary_10_1016_j_vaccine_2017_06_048 crossref_primary_10_1080_21505594_2018_1504561 crossref_primary_10_3389_fmicb_2018_02475 |
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Keywords | ARI Diagnostics RSV nCounter |
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Snippet | Highlights • nCounter enables detection of pathogen transcripts in NPA with low RNA input. • nCounter detects, in a single reaction, the presence of multiple... •nCounter enables detection of pathogen transcripts in NPA with low RNA input.•nCounter detects, in a single reaction, the presence of multiple pathogens in... Acute respiratory tract infections (ARI) present a significant morbidity and pose a global health burden. Patients are frequently treated with antibiotics... BACKGROUNDAcute respiratory tract infections (ARI) present a significant morbidity and pose a global health burden. Patients are frequently treated with... Background Acute respiratory tract infections (ARI) present a significant morbidity and pose a global health burden. Patients are frequently treated with... • nCounter enables detection of pathogen transcripts in NPA with low RNA input. • nCounter detects, in a single reaction, the presence of multiple pathogens in... |
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SubjectTerms | Allergy and Immunology ARI Bacteria - classification Bacteria - genetics Bacteria - isolation & purification Bacterial Infections - diagnosis Chlamydophila pneumoniae Diagnostics Gene Expression Profiling - methods Haemophilus influenzae Human metapneumovirus Humans Infant Infectious Disease Influenza virus Moraxella catarrhalis Multiplex Polymerase Chain Reaction - methods Mycoplasma pneumoniae Nasopharynx - microbiology nCounter Parainfluenza virus Phylogeny Respiratory Tract Infections - diagnosis Respiratory Tract Infections - microbiology Rhinovirus RNA, Bacterial - analysis RNA, Viral - analysis RSV Sensitivity and Specificity Staphylococcus aureus Streptococcus pneumoniae Virus Diseases - diagnosis Viruses - classification Viruses - genetics Viruses - isolation & purification |
Title | Pathogen transcriptional profile in nasopharyngeal aspirates of children with acute respiratory tract infection |
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