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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Emergence of nosocomial associated opportunistic pathogens in the gut microbiome after antibiotic treatment
|
|---|---|
| Published in |
Antimicrobial Resistance & Infection Control, February 2021
|
| DOI | 10.1186/s13756-021-00903-0 |
| Pubmed ID | |
| Authors |
Isaac Raplee, Lacey Walker, Lei Xu, Anil Surathu, Ashok Chockalingam, Sharron Stewart, Xiaomei Han, Rodney Rouse, Zhihua Li |
| Abstract |
According to the Centers for Disease Control's 2015 Hospital Acquired Infection Hospital Prevalence Survey, 1 in 31 hospital patients was infected with at least one nosocomial pathogen while being treated for unrelated issues. Many studies associate antibiotic administration with nosocomial infection occurrence. However, to our knowledge, there is little to no direct evidence of antibiotic administration selecting for nosocomial opportunistic pathogens. This study aims to confirm gut microbiota shifts in an animal model of antibiotic treatment to determine whether antibiotic use favors pathogenic bacteria. We utilized next-generation sequencing and in-house metagenomic assembly and taxonomic assignment pipelines on the fecal microbiota of a urinary tract infection mouse model with and without antibiotic treatment. Antibiotic therapy decreased the number of detectable species of bacteria by at least 20-fold. Furthermore, the gut microbiota of antibiotic treated mice had a significant increase of opportunistic pathogens that have been implicated in nosocomial infections, like Acinetobacter calcoaceticus/baumannii complex, Chlamydia abortus, Bacteroides fragilis, and Bacteroides thetaiotaomicron. Moreover, antibiotic treatment selected for antibiotic resistant gene enriched subpopulations for many of these opportunistic pathogens. Oral antibiotic therapy may select for common opportunistic pathogens responsible for nosocomial infections. In this study opportunistic pathogens present after antibiotic therapy harbored more antibiotic resistant genes than populations of opportunistic pathogens before treatment. Our results demonstrate the effects of antibiotic therapy on induced dysbiosis and expansion of opportunistic pathogen populations and antibiotic resistant subpopulations of those pathogens. Follow-up studies with larger samples sizes and potentially controlled clinical investigations should be performed to confirm our findings. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 10% |
| Australia | 1 | 10% |
| France | 1 | 10% |
| Panama | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 15% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Master | 4 | 8% |
| Other | 3 | 6% |
| Lecturer | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 24 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 9 | 19% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Medicine and Dentistry | 5 | 10% |
| Agricultural and Biological Sciences | 4 | 8% |
| Mathematics | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 22 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 August 2023.
All research outputs
#6,885,978
of 25,303,733 outputs
Outputs from Antimicrobial Resistance & Infection Control
#633
of 1,447 outputs
Outputs of similar age
#174,582
of 565,345 outputs
Outputs of similar age from Antimicrobial Resistance & Infection Control
#24
of 62 outputs
Altmetric has tracked 25,303,733 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,447 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 565,345 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.