Abstract
AbstractCampylobacter commonly causes foodborne infections and antibiotic resistance is an imminent concern. It is not clear, however, if the human gut ‘resistome’ is affected by Campylobacter during infection. Application of shotgun metagenomics on stools from 26 cases with Campylobacter infections and 44 healthy family members (controls) identified 406 unique antibiotic resistance genes (ARGs) representing 153 genes/operons, 40 mechanisms, and 18 classes. Cases had greater ARG richness (p < 0.0001) and Shannon diversity (p < 0.0001) than controls with distinct compositions (p = 0.000999; PERMANOVA). Cases were defined by multidrug resistance genes and were dominated by Proteobacteria (40.8%), specifically those representing Escherichia (20.9%). Tetracycline resistance genes were most abundant in controls, which were dominated by Bacteroidetes (45.3%) and Firmicutes (44.4%). Hierarchical clustering of cases identified three clusters with distinct resistomes. Case clusters 1 and 3 differed from controls containing more urban and hospitalized patients. Relative to family members of the same household, ARG composition among matched cases was mostly distinct, though some familial controls had similar profiles that could be explained by a shorter time since exposure to the case. Together, these data indicate that Campylobacter infection is associated with an altered resistome composition and increased ARG diversity, raising concerns about the role of infection in the spread of resistance determinants.
Publisher
Springer Science and Business Media LLC
Reference65 articles.
1. Scallan, E. et al. Foodborne illness acquired in the United States-Major pathogens. Emerg. Infect. Dis. 17, 7–15 (2011).
2. Tack, D. M. et al. Preliminary incidence and trends of infections with pathogens transmitted commonly through food: Foodborne Diseases Active Surveillance Network, 10 U.S. sites, 2015–2018. Morb. Mortal. Wkly. Rep. 68, 369–373 (2019).
3. Singh, P. et al. Intestinal microbial communities associated with acute enteric infections and disease recovery. Microbiome 3, 45 (2015).
4. Centers for Disease Control and Prevention. Antibiotic Resistance Threats in the United States, 2019. (2019). https://www.cdc.gov/drugresistance/pdf/threats-report/2019-ar-threats-report-508.pdf.
5. Cosgrove, S. E. The relationship between antimicrobial resistance and patient outcomes: Mortality, length of hospital stay, and health care costs. Clin. Infect. Dis. 42, S82–S89 (2006).
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献