TY - JOUR
T1 - Respiratory microbiota and lower respiratory tract disease
AU - Lanaspa, Miguel
AU - Bassat, Quique
AU - Medeiros, Marcia Melo
AU - Muñoz-Almagro, Camen
PY - 2017/7/3
Y1 - 2017/7/3
N2 - Introduction: The respiratory airways harbor a complex succession of ecological niches with distinct but related bacterial communities. Particular challenges of respiratory microbiome research have led to limited scientific output compared to other human microbiomes. Areas covered: In this review, we summarize the current state of knowledge of the bacterial respiratory microbiome, with a particular focus on associations between the respiratory microbiome and lower respiratory tract conditions. Expert commentary: There is growing evidence that the respiratory microbiome is associated with lower respiratory infectious diseases and related conditions. Most respiratory microbiome reports are metataxonomic cross-sectional or case-control studies with relatively small sample sizes. Large, prospective projects with metatranscriptomics or metabolomics approach are needed to unravel the effect of the respiratory microbiome on health-related conditions. Moreover, standardization in sampling, library preparation, sequencing techniques and data analysis should be encouraged.
AB - Introduction: The respiratory airways harbor a complex succession of ecological niches with distinct but related bacterial communities. Particular challenges of respiratory microbiome research have led to limited scientific output compared to other human microbiomes. Areas covered: In this review, we summarize the current state of knowledge of the bacterial respiratory microbiome, with a particular focus on associations between the respiratory microbiome and lower respiratory tract conditions. Expert commentary: There is growing evidence that the respiratory microbiome is associated with lower respiratory infectious diseases and related conditions. Most respiratory microbiome reports are metataxonomic cross-sectional or case-control studies with relatively small sample sizes. Large, prospective projects with metatranscriptomics or metabolomics approach are needed to unravel the effect of the respiratory microbiome on health-related conditions. Moreover, standardization in sampling, library preparation, sequencing techniques and data analysis should be encouraged.
KW - 16S rRNA
KW - Asthma
KW - Bronchiolitis
KW - Lower respiratory tract infections
KW - Next-generation sequencing
KW - Pneumonia
KW - Respiratory microbiome
UR - http://www.scopus.com/inward/record.url?scp=85022030623&partnerID=8YFLogxK
U2 - 10.1080/14787210.2017.1349609
DO - 10.1080/14787210.2017.1349609
M3 - Review article
C2 - 28661199
AN - SCOPUS:85022030623
SN - 1478-7210
VL - 15
SP - 703
EP - 711
JO - Expert Review of Anti-Infective Therapy
JF - Expert Review of Anti-Infective Therapy
IS - 7
ER -