| Literature DB >> 23675371 |
L Cantas1, Syed Q A Shah, L M Cavaco, C M Manaia, F Walsh, M Popowska, H Garelick, H Bürgmann, H Sørum.
Abstract
The discovery and introduction of antimicrobial agents to clinical medicine was one of the greatest medical triumphs of the 20th century that revolutionized the treatment of bacterial infections. However, the gradual emergence of populations of antimicrobial-resistant pathogenic bacteria resulting from use, misuse, and abuse of antimicrobials has today become a major global health concern. Antimicrobial resistance (AMR) genes have been suggested to originate from environmental bacteria, as clinically relevant resistance genes have been detected on the chromosome of environmental bacteria. As only a few new antimicrobials have been developed in the last decade, the further evolution of resistance poses a serious threat to public health. Urgent measures are required not only to minimize the use of antimicrobials for prophylactic and therapeutic purposes but also to look for alternative strategies for the control of bacterial infections. This review examines the global picture of antimicrobial resistance, factors that favor its spread, strategies, and limitations for its control and the need for continuous training of all stake-holders i.e., medical, veterinary, public health, and other relevant professionals as well as human consumers, in the appropriate use of antimicrobial drugs.Entities:
Keywords: antimicrobial resistance; environment; human and veterinary medicine; resistance genes; soil; wastewater
Year: 2013 PMID: 23675371 PMCID: PMC3653125 DOI: 10.3389/fmicb.2013.00096
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
Figure 1Schematic representation of the complexity of the potential bacterial genetic web of communication between the various microbiotas that are impacted by the use of antibiotics in a wide context. The reservoirs where antimicrobials are applied are also suggested as “hot spots” for horizontal gene transfer. The potentially most important genetic links between the microbiotas of the various reservoirs are showed by arrows. Thick arrows show major selective pressures for selection of antibiotic resistance genes, thin arrows show the significant directions of gene flow. Future research may document unique arrows that must be integrated in the web drawn.
Figure 2The change in number of antimicrobial resistance related published research papers in different subdisciplines and covering different environments. The data for the graphs were obtained by searching the ISI web of science for publications with titles matching the query terms (antibioti* OR antimicro*) AND resistan* AND the following specific terms: Hospital, (hospital* OR patient* OR clinic*); Animal, (animal* OR veterinary* OR livestock* OR pig* OR cow* OR chicken* OR poultry); Wastewater, (wastewate* OR sewage); Natural water, (wate* OR lake OR river OR ocean OR sea); Soil, (soil* OR sediment* OR rhizosphere*) (Source: http://apps.isiknowledge.com/). The search was performed on 06/03/2013.
Antimicrobial resistance detection in some important pathogens soon after arrival of the “magic bullets” into the market.
| 1948 | Penicillin | In British civilian hospitals soon after the introduction of penicillin | Barber and Rozwadowska-Dowzenko, | |
| 1948 | Streptomycin | In the community soon after the clinical usage of this antimicrobial | Crofton and Mitchison, | |
| 1950's–1960's | Multiple drugs | Watanabe, | ||
| 1960's | VRE- | Multiple drugs | Levy and Marshall, |
VRE, Vancomycin-Resistant Enterococcus; ESBL, Extended-spectrum β-lactamase; MRSA, methicillin/oxacillin-resistant Staphylococcus aureus; QR, Quinolone resistant; MDR, Multi-drug resistant.
Degradation rates of various antimicrobials in soil.
| Macrolides | 0–50 | 5–30 | Thiele-Bruhn, |
| Sulfonamides | 0–50 | 22–64 | Thiele-Bruhn, |
| Fluoroquinolones | 0–30 | 56–80 | Hektoen et al., |
| Tetracycline | 0–50 | 10–180 | Björklund et al., |
| Aminoglycosides | 0 | 30 | Thiele-Bruhn, |
| β-lactams | 0–50 | 30 | Thiele-Bruhn, |
| Imidasoles | 50 | 14–75 | Thiele-Bruhn, |
| Polypeptides | 12–90 | 2–173 | Thiele-Bruhn, |
This reference does not include the modern macrolides with very long elimination half-lives. For instance, Tulathromycine has an half live (so 50% degraded, not nearly 100%) in soil of 99 days (Pfizer, personal communication 2013).