| Literature DB >> 36009947 |
Renata Urban-Chmiel1, Agnieszka Marek1, Dagmara Stępień-Pyśniak1, Kinga Wieczorek2, Marta Dec1, Anna Nowaczek1, Jacek Osek2.
Abstract
BACKGROUND: A global problem of multi-drug resistance (MDR) among bacteria is the cause of hundreds of thousands of deaths every year. In response to the significant increase of MDR bacteria, legislative measures have widely been taken to limit or eliminate the use of antibiotics, including in the form of feed additives for livestock, but also in metaphylaxis and its treatment, which was the subject of EU Regulation in 2019/6. Numerous studies have documented that bacteria use both phenotypis and gentic strategies enabling a natural defence against antibiotics and the induction of mechanisms in increasing resistance to the used antibacterial chemicals. The mechanisms presented in this review developed by the bacteria have a significant impact on reducing the ability to combat bacterial infections in humans and animals. Moreover, the high prevalence of multi-resistant strains in the environment and the ease of transmission of drug-resistance genes between the different bacterial species including commensal flora and pathogenic like foodborne pathogens (E. coli, Campylobacter spp., Enterococcus spp., Salmonella spp., Listeria spp., Staphylococcus spp.) favor the rapid spread of multi-resistance among bacteria in humans and animals. Given the global threat posed by the widespread phenomenon of multi-drug resistance among bacteria which are dangerous for humans and animals, the subject of this study is the presentation of the mechanisms of resistance in most frequent bacteria called as "foodborne pathoges" isolated from human and animals. In order to present the significance of the global problem related to multi-drug resistance among selected pathogens, especially those danger to humans, the publication also presents statistical data on the percentage range of occurrence of drug resistance among selected bacteria in various regions of the world. In addition to the phenotypic characteristics of pathogen resistance, this review also presents detailed information on the detection of drug resistance genes for specific groups of antibiotics. It should be emphasized that the manuscript also presents the results of own research i.e., Campylobacter spp., E. coli or Enetrococcus spp. This subject and the presentation of data on the risks of drug resistance among bacteria will contribute to initiating research in implementing the prevention of drug resistance and the development of alternatives for antimicrobials methods of controlling bacteria.Entities:
Keywords: antibiotic resistance; antimicrobials; bacteria; resistance genes
Year: 2022 PMID: 36009947 PMCID: PMC9404765 DOI: 10.3390/antibiotics11081079
Source DB: PubMed Journal: Antibiotics (Basel) ISSN: 2079-6382
Examples of prevalence of antimicrobial-resistant Campylobacter spp. isolated from various sources.
| Resistance to Antimicrobials (Resistance Genes) | Source of Isolates | Percentage of Isolates with Resistance Genes | References |
|---|---|---|---|
| Fluoroquinolones ( | Humans | 13.8 (Burkina Faso); 20.1 (Australia); 50.0 (Ethiopia); 55.8–85.7 (BE); 72.2–100 (Lithuania); 77.4 (Peru); 85.2 (PL); 89.4 (China) | Sangaré et al. [ |
| Animals and food | 0–60.0 (China); 3.7–8.0 (USA); 25.0–100 (Ethiopia); 36.4–100 (Tunisia); 47.6–100 (Lithuania); 60.0–96.1 (Poland); 65.0–95.3 (Germany); 71.0 (Kenya) | Tang et al. [ | |
| Macrolides ( | Humans | 0 (Lithuania); 0.6 (Poland); 1.8 (Australia); 2.0–28.6 (Belgium); 5.3 (Peru); 10.3 (Burkina Faso); 24.0 (China); 80.0 (Ethiopia) | Sangaré et al. [ |
| Animals and food | 0–1.4 (Lithuania); 0–70.0 (China); 0–74.4 (Poland); 0–64.5 (Germany); 1.5–2.8 (USA); 25.0–100 (Ethiopia); 25.8–51.6 (Kenya); 90.9–100 (Tunisia) | Tang et al. [ | |
| Tetracyclines ( | Humans | 10.3 (Burkina Faso); 15.6 (Australia); 49.7–85.7 (Belgium); 55.5–100 (Lithuania); 55.8 (Peru); 70.0 (Ethiopia); 70.3 (Poland); 93.3 (China) | Sangaré et al. [ |
| Animals and food | 0–64.0 (China); 3.8–77.0 (Poland);14.0–66.7 (Lithuania); 32.5–92.1 (Germany); 55.6–100 (Ethiopia); 57.9–78.1 (Poland); 65.3–81.6 (USA); 71.0 (Kenya); 100 (Tunisia) | Tang et al. [ |
The examples of the prevalence of antibiotic resistance gens in E. coli strains isolated from the environment and different animal species.
| Antibiotic Resistance Genes | Source of Isolation of the Strains and Percentage (%) of Positive Isolates Showing the Presence of Resistance Genes | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Humans | Ruminants | Pigs | Poultry, Wild Birds | Companion Animals (Cats, Dogs, Horses, Pet Birds) | Food | Environment | References | |||
|
| Beta-lactamases |
| 96.6 | 46.5 | - | 34.65–48.9 | 10.1 | - | Bahramian et al. [ | |
|
| 58.6 | 56.5–97.1 | 86 | 24–57.97 | 17–95.28 | 0.8–18 | - | |||
|
| - | 16.0 | 21 | 27.5 | 16.55 | 1.2–2.0 | - | |||
|
| - | - | 5 | - | 7.09–14.02 | - | 15.5 | |||
|
| 72.4 | 88.4 | - | - | 35.9–9.45 | 2.6–14.7 | - | |||
|
| 20.7 | - | - | - | ||||||
|
| 37.9 | - | - | - | - | - | - | |||
|
| 72 | 16.7 | - | 10.2 | - | - | - | |||
|
| 28 | - | - | 23.7 | - | - | - | |||
|
| 4–51.7 | - | - | 31.8–19.8 | 2.36 | - | - | |||
|
| 22.4 | - | - | - | - | - | 4.4 | |||
| Tetracyclines |
| 32.2 | 76.7–51.1 | 25–57.7 | 12.5–52.4 | 38.8–18 | 26.8–23.8 | - | Jahantigh et al. [ | |
|
| 55.9 | 23.3–44.6 | 80–38.7 | 41.3 | 61.1–71 | 23.2–4.05 | - | |||
|
| 7.2 | 5.4 | 25–5.1 | 1.7 | - | 4.3 | - | |||
|
| 1.3 | - | 2.9 | 0.8 | - | 0.4 | - | |||
|
| - | - | - | - | - | - | ||||
|
| 6.5 | - | - | - | - | - | ||||
|
| 6.6 | 2.9 | - | - | - | - | ||||
| Quinolones |
| - | - | 2.0 | - | 17.32 | - | 0.4 | Chen et al. [ | |
|
| 0.3 | - | - | 1.3 | 93.70 | - | 1.1 | |||
|
| 2.6 | - | 8.6 | 1.3 | 8.66 | - | 4.2 | |||
|
| 3.6 | - | 4.5 | 1.3 | - | - | 2.6 | |||
|
| 5.2 | - | 51.0 | 19.8 | 20.2 | |||||
| 70.7 | 80 | - | - | 1 | - | - | Cirit et al. [ | |||
| 13.3 | 75 | 20 | - | 0.7 | ||||||
| 76.9 | - | - | - | - | - | - | ||||
|
| - | 5.3 | 2.6 | - | 0.9 | - | - | |||
|
| 61.2/63.8 | 76.7 | 52.6/54.7 | - | 2/3 | 18.4 | 28 | |||
|
| 59.2 | 71.7 | - | 20 | 1 | 4.95 | 10.4 | |||
|
| 3.1 | - | - | - | 1 | - | 0.5 | |||
|
| 7.6 | - | 79 | 18.7 | 2 | 4.05 | 6.6 | |||
|
| - | - | 19 | - | 1 | - | 1.7 | |||
| 61.8 | 63.3 | 17.4–40.1 | 31.1–70.6 | 25.8 | 9.4–12.3 | - | ||||
| 3.3 | - | 7.6–2.2 | - | - | 0.9–1.35 | - | ||||
| - | 76.3 | 20 | - | 40.3 | - | - | ||||
| - | 15.8 | 47 | - | - | - | - | ||||
| - | - | 30 | - | - | - | - | ||||
| - | - | - | - | 0.3 | - | - | ||||
| Polymyxins |
| - | 11.5 | 4.45–20.6 | 25.0 | 2.36 | 14.9 | - | Khine et.al. [ | |
|
| - | - | 20.8 | - | - | - | - | |||
|
| - | - | 0.43 | - | - | - | - | |||
| Phenicoles |
| 79 | 85.1–47.4 | - | 61.7 | 73.5 | - | - | Maynard et al. [ | |
|
| 11.4 | 1.5–50 | - | - | 9.7 | - | - | |||
|
| - | 10.4–18.4 | - | 72 | 4.8 | - | - | |||
Prevalence of specific genes of resistance to selected antibiotics in Listeria spp.
| Antibiotic Resistance Genes | Source of Isolation of the Strains and Percentage (%) of Positive Isolates Showing the Presence of Resistance Genes | References | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Dairy Farms | Environment | Water Environment | Raw Fish | Food Products, Dairy, Poultry and Pigs | Poultry Farm and Slaugterhouses | Humans | ||||
|
| Beta-lactamases |
| 37 | - | 11.6 | - | - | - | Srinivasan et al. [ | |
|
| - | 0 | 63 | 14 | - | 0 | 0 | |||
|
| - | 10 | 75 | - | - | - | - | |||
|
| - | 5 | 10 | - | - | - | - | |||
| Tetracyclines |
| 32 | 0 | 85.2 | 23 | - | 35.7 | 0 | Srinivasan et al. [ | |
|
| 19 | 38 | 3.3 | |||||||
|
| 17 | 63 | 25 | 7.86 | 72 | |||||
|
| - | 4–18 | 70.37 | 25.6 | 52.6 | 14.3 | 70 | |||
|
| 8 | 8 | ||||||||
|
| 9.1 | |||||||||
| Quinolones |
| 34 | 9 | 0 | - | 0 | - | Srinivasan et al. [ | ||
|
| 51.9 | 50 | ||||||||
|
| ||||||||||
| Sulphonamides |
| 16 | 11 | - | - | - | - | 27.3 | Kayode et al. [ | |
|
| 16 | 3.33 | 38.24 | 0 | 0 | 0 | 13.6 | |||
|
| - | 13.33 | 41.18 | - | - | - | - | |||
| Aminoglicosides |
| 18.2 | Oswaldi et al. [ | |||||||
|
| - | 12.5 | 20 | - | - | - | - | |||
|
| - | - | 43.33 | - | - | - | - | |||
| Lincosamides |
| 100 | 100 | 72–97 | ||||||
|
| 100 | 13 | 100 | |||||||
| Macrolides |
| - | 42 | - | - | 4 | 14.3 | 83.3 | Haubert et al. [ | |
| Glicopeptides |
| - | 0 | 0 | 4.65 | 0 | - | - | Jamali et al. [ | |
| Phenicoles |
| 66 | 4 | 0 | - | - | - | 0 | Srinivasan et al. [ | |
|
| - | - | 53.3 | - | - | - | - | |||
ermB—erythromycin; fosX—phosphomycin; vgaD—lincosamides, ant6—streptomycin; tet—tetracyclines, doxycycline, tetracycline, and minocycline; (-)—not detected.