Modeling the Impact of Antibiotic Exposure on Human Microbiota

• Published in: Scientific reports Vol. 4; no. 1; p. 4345
• Main Authors: Zhao, Jiangchao, Murray, Susan, LiPuma, John J.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 11.03.2014; Nature Publishing Group
• Subjects: 49/23; 631/326/2565/2134; 692/699/1785; Adolescent; Adult; Anti-Bacterial Agents - therapeutic use; Antibiotics; Biodiversity; Chronic infection; Cystic fibrosis; Cystic Fibrosis - drug therapy; Cystic Fibrosis - genetics; Cystic Fibrosis - microbiology; Cystic Fibrosis Transmembrane Conductance Regulator - genetics; DNA, Bacterial - classification; DNA, Bacterial - genetics; DNA, Bacterial - isolation & purification; Dose-Response Relationship, Drug; Drug Administration Routes; Drug Administration Schedule; Female; Humanities and Social Sciences; Humans; Linear Models; Lung - drug effects; Lung - microbiology; Male; Medical treatment; Metagenome - drug effects; Microbial activity; Microbiota; Microbiota - drug effects; Microbiota - genetics; multidisciplinary; Multivariate Analysis; Mutation; Science; Sex Factors; Sputum - microbiology

Human-associated microbial communities play important roles in health and disease. Antibiotic administration is arguably one of the most important modifiable determinants of the composition of the human microbiota. However, quantitatively modeling antibiotic use to account for its impact on microbia...