FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2973443106> ?p ?o ?g. }

• W2973443106 abstract "Abstract Background The selection pressure exercised by antibiotic drugs is an important consideration for the wise stewardship of antimicrobial treatment programs. Treatment decisions are currently based on crude assumptions, and there is an urgent need to develop a more quantitative knowledge base that can enable predictions of the impact of individual antibiotics on the human gut microbiome and resistome. Results Using shotgun metagenomics, we quantified changes in the gut microbiome in two cohorts of hematological patients receiving prophylactic antibiotics; one cohort was treated with ciprofloxacin in a hospital in Tübingen and the other with cotrimoxazole in a hospital in Cologne. Analyzing this rich longitudinal dataset, we found that gut microbiome diversity was reduced in both treatment cohorts to a similar extent, while effects on the gut resistome differed. We observed a sharp increase in the relative abundance of sulfonamide antibiotic resistance genes (ARGs) by 148.1% per cumulative defined daily dose of cotrimoxazole in the Cologne cohort, but not in the Tübingen cohort treated with ciprofloxacin. Through multivariate modeling, we found that factors such as individual baseline microbiome, resistome, and plasmid diversity; liver/kidney function; and concurrent medication, especially virostatic agents, influence resistome alterations. Strikingly, we observed different effects on the plasmidome in the two treatment groups. There was a substantial increase in the abundance of ARG-carrying plasmids in the cohort treated with cotrimoxazole, but not in the cohort treated with ciprofloxacin, indicating that cotrimoxazole might contribute more efficiently to the spread of resistance. Conclusions Our study represents a step forward in developing the capability to predict the effect of individual antimicrobials on the human microbiome and resistome. Our results indicate that to achieve this, integration of the individual baseline microbiome, resistome, and mobilome status as well as additional individual patient factors will be required. Such personalized predictions may in the future increase patient safety and reduce the spread of resistance. Trial registration ClinicalTrials.gov, NCT02058888 . Registered February 10 2014" @default.
• W2973443106 created "2019-09-26" @default.
• W2973443106 creator A5031922965 @default.
• W2973443106 creator A5033018668 @default.
• W2973443106 creator A5033842343 @default.
• W2973443106 creator A5039469115 @default.
• W2973443106 creator A5039666775 @default.
• W2973443106 creator A5041454251 @default.
• W2973443106 creator A5067383538 @default.
• W2973443106 creator A5076324401 @default.
• W2973443106 creator A5082565906 @default.
• W2973443106 date "2019-09-18" @default.
• W2973443106 modified "2023-10-11" @default.
• W2973443106 title "Distinct impact of antibiotics on the gut microbiome and resistome: a longitudinal multicenter cohort study" @default.
• W2973443106 cites W1592445079 @default.
• W2973443106 cites W1603121691 @default.
• W2973443106 cites W1828084056 @default.
• W2973443106 cites W1990524884 @default.
• W2973443106 cites W1995355078 @default.
• W2973443106 cites W2000445173 @default.
• W2973443106 cites W2009119563 @default.
• W2973443106 cites W2045204781 @default.
• W2973443106 cites W2057710367 @default.
• W2973443106 cites W2094943913 @default.
• W2973443106 cites W2096093282 @default.
• W2973443106 cites W2103441770 @default.
• W2973443106 cites W2108234281 @default.
• W2973443106 cites W2109371724 @default.
• W2973443106 cites W2118688136 @default.
• W2973443106 cites W2120902911 @default.
• W2973443106 cites W2131271579 @default.
• W2973443106 cites W2142678478 @default.
• W2973443106 cites W2144852012 @default.
• W2973443106 cites W2152127318 @default.
• W2973443106 cites W2153820933 @default.
• W2973443106 cites W2154179335 @default.
• W2973443106 cites W2170747616 @default.
• W2973443106 cites W2194591433 @default.
• W2973443106 cites W2331300001 @default.
• W2973443106 cites W2337747100 @default.
• W2973443106 cites W2344543878 @default.
• W2973443106 cites W2346932889 @default.
• W2973443106 cites W2437677506 @default.
• W2973443106 cites W2500271699 @default.
• W2973443106 cites W2532281536 @default.
• W2973443106 cites W2582320162 @default.
• W2973443106 cites W2589011865 @default.
• W2973443106 cites W2739852532 @default.
• W2973443106 cites W2766408450 @default.
• W2973443106 cites W2782623083 @default.
• W2973443106 cites W2792021903 @default.
• W2973443106 cites W2800091294 @default.
• W2973443106 cites W2884737885 @default.
• W2973443106 cites W2973443106 @default.
• W2973443106 doi "https://doi.org/10.1186/s12915-019-0692-y" @default.
• W2973443106 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6749691" @default.
• W2973443106 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31533707" @default.
• W2973443106 hasPublicationYear "2019" @default.
• W2973443106 type Work @default.
• W2973443106 sameAs 2973443106 @default.
• W2973443106 citedByCount "87" @default.
• W2973443106 countsByYear W29734431062019 @default.
• W2973443106 countsByYear W29734431062020 @default.
• W2973443106 countsByYear W29734431062021 @default.
• W2973443106 countsByYear W29734431062022 @default.
• W2973443106 countsByYear W29734431062023 @default.
• W2973443106 crossrefType "journal-article" @default.
• W2973443106 hasAuthorship W2973443106A5031922965 @default.
• W2973443106 hasAuthorship W2973443106A5033018668 @default.
• W2973443106 hasAuthorship W2973443106A5033842343 @default.
• W2973443106 hasAuthorship W2973443106A5039469115 @default.
• W2973443106 hasAuthorship W2973443106A5039666775 @default.
• W2973443106 hasAuthorship W2973443106A5041454251 @default.
• W2973443106 hasAuthorship W2973443106A5067383538 @default.
• W2973443106 hasAuthorship W2973443106A5076324401 @default.
• W2973443106 hasAuthorship W2973443106A5082565906 @default.
• W2973443106 hasBestOaLocation W29734431061 @default.
• W2973443106 hasConcept C104317684 @default.
• W2973443106 hasConcept C126322002 @default.
• W2973443106 hasConcept C143121216 @default.
• W2973443106 hasConcept C15151743 @default.
• W2973443106 hasConcept C201903717 @default.
• W2973443106 hasConcept C2776650774 @default.
• W2973443106 hasConcept C2776666601 @default.
• W2973443106 hasConcept C2778512257 @default.
• W2973443106 hasConcept C501593827 @default.
• W2973443106 hasConcept C54355233 @default.
• W2973443106 hasConcept C60644358 @default.
• W2973443106 hasConcept C71924100 @default.
• W2973443106 hasConcept C72563966 @default.
• W2973443106 hasConcept C86803240 @default.
• W2973443106 hasConcept C89423630 @default.
• W2973443106 hasConcept C94665300 @default.
• W2973443106 hasConceptScore W2973443106C104317684 @default.
• W2973443106 hasConceptScore W2973443106C126322002 @default.
• W2973443106 hasConceptScore W2973443106C143121216 @default.
• W2973443106 hasConceptScore W2973443106C15151743 @default.
• W2973443106 hasConceptScore W2973443106C201903717 @default.
• W2973443106 hasConceptScore W2973443106C2776650774 @default.
• W2973443106 hasConceptScore W2973443106C2776666601 @default.

• next