| Literature DB >> 34979901 |
Alex Leite Pereira1, Pâmela Maria de Oliveira2, Célio Faria-Junior3, Everton Giovanni Alves3, Glaura Regina de Castro E Caldo Lima3, Thaís Alves da Costa Lamounier2, Rodrigo Haddad2, Wildo Navegantes de Araújo2.
Abstract
BACKGROUND: Aquatic matrices impacted by sewage may shelter carbapenem-resistant (CR) Gram-negative bacilli (GNB) harboring resistance genes of public health concern. In this study, sewage treatment plants (STPs) servicing well-defined catchment areas were surveyed for the presence of CR-GNB bearing carbapenemase genes (blaKPC or blaNDM).Entities:
Keywords: Carbapenem resistance; Sewage treatment; Surveillance
Mesh:
Substances:
Year: 2022 PMID: 34979901 PMCID: PMC8725513 DOI: 10.1186/s12866-021-02400-1
Source DB: PubMed Journal: BMC Microbiol ISSN: 1471-2180 Impact factor: 3.605
Characteristics of sewage treatment plants and profile of activities in their attendance regions
| Sewage Treatment Plant (STP) | Profile of the regions serviced by the STPs | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Flow of treated sewage (L/s) | Treatment Processa | Treatment accomplished | N. of sewer connectionsb | Total number of hospitalsc | N. of district hospitals | N. of hospitalizations (Jan-Ago 2017)c | Agricultural employment in the local economy (%)d | Areas (m | |
| 80 | UASB+HRAP+OLF + PP | Tertiary | 21,818 | 1 | 1 (1) | 3010 | 0.6 | 0 | |
| 41 | AP + FP | Secondary | 14,373 | 1 | 1 (1) | 2738 | 11.1 | 0 | |
| 190 | UASB+AR + CLARIFIER | Tertiary | 45,254 | 2 | 1 (1) | 8500 | 1.5 | 179,000 | |
| 767 | UASB+UNITANK | Tertiary | 277,076 | 8 | 2 (0) | 21,624 | 0.2 | 540,000 | |
| 450 | BNR + AS+CP | Tertiary | 63,412 | 6 | 3 (0) | 13,430 | 0.8 | 0 | |
| 100 | UASB+HRAP+OLF | Tertiary | 33,919 | 1 | 1 (1) | 5607 | 8.3 | 0 | |
| 155 | UASB+FP + MP | Secondary | 35,899 | 1 | 1 (1) | 6149 | 9.0 | 0 | |
| 189 | UASB+AR + FP | Secondary | 53,949 | 0 | 0 (0) | 0 | 2.5 | 0 | |
| 46 | BNR + AS | Tertiary | 13,079 | 0 | 0 (0) | 0 | 0.3 | 0 | |
| 512 | UASB+FP + HRAP +PP + CP | Tertiary | 74,881 | 1 | 1 (0) | 5936 | 0.8 | 540,000 | |
| 126 | UASB+FP + HRAP+PP + CP | Tertiary | 22,595 | 1 | 0 (0) | 258 | 0.6 | 0 | |
| 77 | AC + CLARIFIER | Secondary | 26,003 | 1 | 1 (1) | 4561 | 1.3 | 32,000 | |
| 1330 | BNR + AS+CP | Tertiary | 187,421 | 16 | 3 (1) | 29,103 | 0.5 | 0 | |
| 19 | UASB+FP + MP | Secondary | 4401 | 0 | 0 (0) | 0 | 0.0 | 12,000 | |
aAbbreviations: UASB Up-flow Anaerobic Sludge Blanket, HRAP High-Rate Algal Pond, OLF Overland Flow, PP Polishing Pond, AP Anaerobic Pond, FP Facultative Pond, AR Aerated Reactor, BNR Biological Nutrient Removal, AS Activated Sludge, CP Chemical Polishing, MP Maturation Pond
bDirective Plan for Waters and Sewers of the Brazilian Federal District, 2010. (Source: Companhia de Saneamento Básico do Distrito Federal, CAESB)
cMinistry of Health - Unified Health System (SUS) - Hospital Information System (SIH/SUS) (Accessed: May 22, 2019)
dParticipation of agriculture in formal employment contracts by regions serviced by STP (Source: Companhia de Planejamento do Distrito Federal -CODEPLAN−/Gerência de Demografia, Estatística e Geoinformação -GEDEG. Accessed: January 30, 2019)
eIntensive management livestock farms operating within 3 km from the STPs (Source: Google Maps. Accessed: January 30, 2019)
Fig. 1Taxonomic profile of (A) carbapenem-resistant and (B) blaKPC-or-NDM-positive isolates recovered from sewage and water samples. A Carbapenem-resistant isolates recovered from downstream water and sewage samples form a more diverse set of strains in comparison with the isolates from upstream water samples. Enterobacteria, especially the Klebsiella-Enterobacter group, are overrepresented among carbapenem-resistant isolates recovered from sewage and downstream samples. In contrast, carbapenem-resistant isolates from upstream water samples are mostly represented by intrinsically resistant, saprophyte species. B Strains harboring blaKPC or blaNDM genes (blaKPC-or-NDM) were not recovered from upstream water samples. Klebsiella-Enterobacter group predominates among blaKPC-or-NDM strains recovered from downstream water and sewage samples and is followed by blaKPC-or-NDMAeromonas strains
Fig. 2Study setting showing sewage treatment plants (STP) in Brasília, Brazil, and the distribution of blaKPC-or-NDM-positive GNB recovered from raw sewage (RS) and (B) from water bodies downstream (DW) from STPs. The insert at the bottom right displays the geographic position of the city of Brasília (red pin) located on a plateau in the central-western region of Brazil. Sewage treatment plants (blue pins), hospitals (red signals and dots) and intensive management livestock farms (black dots) are indicated. The proportional distribution among the surveyed STPs of 64 blaKPC-or-NDM strains recovered from raw sewage (A) and 27 blaKPC-or-NDM strains recovered from DW samples (B) is shown
Fig. 3Frequency analysis of blaKPC-or-NDM isolates recovered from STPs (raw sewage). Frequencies were distributed among categorized groups of STPs considering regional attendance profiles: A volume (L/s) of inflow sewage in the STPs; B sewer connections serviced by STPs; C the total number of hospitals D occurrence of tertiary-level district hospitals within 3 Km from the STPs; E the number of hospitalizations in areas serviced by STPs; F built area (m2) for pig/poultry farming within 3 Km from the STPs; and G participation of agricultural employment in areas serviced by STPs. Levels of significance for the distribution analysis (Fisher’s Exact Test) and for the linear relationship analysis (Cochran-Mantel-Haenszel test) are displayed in each graph
Fig. 4Effect of the accomplished level of sewage treatment in containing blaKPC-or-NDM strains. Frequencies of blaKPC-or-NDM strains recovered from raw sewage and treated sewage samples were compared considering the level of treatment (secondary or tertiary) accomplished by STPs