TY - JOUR T1 - Gut microbiota disturbance during antibiotic therapy: a multi-omic approach JF - Gut JO - Gut SP - 1591 LP - 1601 DO - 10.1136/gutjnl-2012-303184 VL - 62 IS - 11 AU - Ana Elena Pérez-Cobas AU - María José Gosalbes AU - Anette Friedrichs AU - Henrik Knecht AU - Alejandro Artacho AU - Kathleen Eismann AU - Wolfgang Otto AU - David Rojo AU - Rafael Bargiela AU - Martin von Bergen AU - Sven C Neulinger AU - Carolin Däumer AU - Femke-Anouska Heinsen AU - Amparo Latorre AU - Coral Barbas AU - Jana Seifert AU - Vitor Martins dos Santos AU - Stephan J Ott AU - Manuel Ferrer AU - Andrés Moya Y1 - 2013/11/01 UR - http://gut.bmj.com/content/62/11/1591.abstract N2 - Objective Antibiotic (AB) usage strongly affects microbial intestinal metabolism and thereby impacts human health. Understanding this process and the underlying mechanisms remains a major research goal. Accordingly, we conducted the first comparative omic investigation of gut microbial communities in faecal samples taken at multiple time points from an individual subjected to β-lactam therapy. Methods The total (16S rDNA) and active (16S rRNA) microbiota, metagenome, metatranscriptome (mRNAs), metametabolome (high-performance liquid chromatography coupled to electrospray ionisation and quadrupole time-of-flight mass spectrometry) and metaproteome (ultra high performing liquid chromatography coupled to an Orbitrap MS2 instrument [UPLC-LTQ Orbitrap-MS/MS]) of a patient undergoing AB therapy for 14 days were evaluated. Results Apparently oscillatory population dynamics were observed, with an early reduction in Gram-negative organisms (day 6) and an overall collapse in diversity and possible further colonisation by ‘presumptive’ naturally resistant bacteria (day 11), followed by the re-growth of Gram-positive species (day 14). During this process, the maximum imbalance in the active microbial fraction occurred later (day 14) than the greatest change in the total microbial fraction, which reached a minimum biodiversity and richness on day 11; additionally, major metabolic changes occurred at day 6. Gut bacteria respond to ABs early by activating systems to avoid the antimicrobial effects of the drugs, while ‘presumptively’ attenuating their overall energetic metabolic status and the capacity to transport and metabolise bile acid, cholesterol, hormones and vitamins; host–microbial interactions significantly improved after treatment cessation. Conclusions This proof-of-concept study provides an extensive description of gut microbiota responses to follow-up β-lactam therapy. The results demonstrate that ABs targeting specific pathogenic infections and diseases may alter gut microbial ecology and interactions with host metabolism at a much higher level than previously assumed. ER -