| Literature DB >> 34066054 |
Nicole Zacharias1, Iris Löckener2, Sarah M Essert1, Esther Sib1, Gabriele Bierbaum3, Thomas Kistemann1,4, Christiane Schreiber1.
Abstract
Bacterial infections have been treated effectively by antibiotics since the discovery of penicillin in 1928. A worldwide increase in the use of antibiotics led to the emergence of antibiotic resistant strains in almost all bacterial pathogens, which complicates the treatment of infectious diseases. Antibiotic-resistant bacteria play an important role in increasing the risk associated with the usage of surface waters (e.g., irrigation, recreation) and the spread of the resistance genes. Many studies show that important pathogenic antibiotic-resistant bacteria can enter the environment by the discharge of sewage treatment plants and combined sewage overflow events. Mussels have successfully been used as bio-indicators of heavy metals, chemicals and parasites; they may also be efficient bio-indicators for viruses and bacteria. In this study an influence of the discharge of a sewage treatment plant could be shown in regard to the presence of E. coli in higher concentrations in the mussels downstream the treatment plant. Antibiotic-resistant bacteria, resistant against one or two classes of antibiotics and relevance for human health could be detected in the mussels at different sampling sites of the river Rhine. No multidrug-resistant bacteria could be isolated from the mussels, although they were found in samples of the surrounding water body.Entities:
Keywords: antibiotic resistances; environmental health; food chain; infection risk; multidrug resistance; shellfish
Year: 2021 PMID: 34066054 PMCID: PMC8150577 DOI: 10.3390/antibiotics10050571
Source DB: PubMed Journal: Antibiotics (Basel) ISSN: 2079-6382
Individual mussel soft tissue weight measured without shells and sampled at the three different sampling sites.
| Mussel Species Investigated in the River Rhine | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cu1 | Cu2 | Cu3 | Cu4 | Cu5 | Cu6 | Cu7 | Cu8 | Cu9 | D1 | D2 | D3 | D4 | D5 | |
| weight mussel tissue | 0.6 | 0.4 | 2.3 | 1.0 | 2.8 | 2.1 | 1.3 | 1.2 | 1.3 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 |
| Cd1 | Cd2 | Cd3 | Cd4 | Cd5 | Cd6 | Cd7 | Cd8 | |||||||
| weight mussel tissue | 1.2 | 0.3 | 0.4 | 0.4 | 0.1 | 0.1 | 0.1 | 0.6 | ||||||
Figure 1Concentrations (cfu/10 g mussel soft tissue) of clinically relevant bacteria from mussels, cultivated on different agars: circles = total bacteria count (TBC; Columbia blood agar); squares = Enterobacteriaceae (MacConkey agar); triangles = coliform bacteria (CC agar); diamonds = E. coli (CC agar). Asterisks mark category values of ≥x cfu/10 g mussel tissue, the smallest possible value is shown.
Figure 2Concentrations (cfu/10 g mussel soft tissue) of antibiotic-resistant (3GCR) Gram-negative bacteria, cultivated on CHROMagar ESBL (circles = Pseudomonas spp.; squares = Acinetobacter spp.; triangles = A. calcoaceticus-baumannii complex; diamonds = E. coli), originating from the tissue of the investigated mussels. Asterisks mark category values of ≥x cfu/10 g mussel tissue, the smallest possible value is shown.
Antibiotic-resistant isolates of the bacteria (isolated on the CHROMagar ESBL plates) from different sampling sites and matrices, detection of carbapenemase genes within the isolates and classification of German (3/4MRGN = multi-resistant Gram-negatives with resistance against three or four antibiotic groups tested) and international (XDR = extensively drug-resistant; showing resistance against all but one or two reserve antibiotic classes) multidrug resistance levels.
| Antibiotic Substances | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Species (Number of Isolates) | Piperacillin/ | Cefotaxime | Ceftazidime | Imipenem | Meropenem | Ciprofloxacin | Carbapenemase | 3MRGN | 4MRGN | XDR | |
| 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | ||
| 0 | 1 (100%) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| River water Bonn (upstream STP) | 0 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 0 | 8 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | ||
| River water Bonn (downstream STP) | 1 | 2 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | |
| 0 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | ||
| 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | ||
| 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| River water Cologne | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
| 1 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | ||
| Isolates total | 35 | 3 | 35 | 10 | 0 | 1 | 5 | 1 | 2 | 1 | 0 |
Figure 3Concentrations (cfu/100 mL) of antibiotic-resistant Gram-negative bacteria (E. coli, KEC, Pseudomonas spp., P. aeruginosa, Acinetobacter spp.), cultivated on ESBL CHROMagar, originated from the water of the investigated sampling sites (white bars = Corbicula spp. upstream of the STP; grey bars = Corbicula spp. downstream of the STP; black bars = Dreissena spp.) during the time of mussel harvesting. Asterisks mark category values of ≥x cfu/100 mL river water, the smallest possible value is shown.