| Literature DB >> 32904734 |
Tamoor Hamid Chaudhry1,2, Bilal Aslam1,2, Muhammad Imran Arshad3, Roman Farooq Alvi2, Saima Muzammil2, Nafeesa Yasmeen4, Muhammad Aamir Aslam3, Mohsin Khurshid2, Muhammad Hidayat Rasool2, Zulqarnain Baloch1.
Abstract
INTRODUCTION: Intense livestock farming practices enforcing the farmers to use antibiotics as food supplements on a routine basis. Aberrant use of antibiotics is associated with the emergence of antibiotics resistance and resistant superbugs. Keeping in view the current scenario, the present study was designed for the first time from Pakistan with a specific aim to estimate the prevalence of the carbapenem-resistant Klebsiella pneumoniae in veterinary settings and the waste in Pakistan.Entities:
Keywords: Klebsiella pneumoniae; Pakistan; carbapenem resistance; veterinary settings
Year: 2020 PMID: 32904734 PMCID: PMC7457595 DOI: 10.2147/IDR.S248091
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Description the Sample Distribution and Their Positive Results
| Sample Source | No of Samples | Confirmed Isolates | Prevalence % |
|---|---|---|---|
| Abattoir wastewater | 28 | 3 | 10.71 |
| Animal farm wastewater | 21 | 3 | 14 |
| Poultry farm wastewater | 16 | 1 | 6.25 |
| Milk Sample | 19 | 2 | 10.52 |
| Fecal samples | 21 | 2 | 9.52 |
| Animal Sludge | 20 | 1 | 5.0 |
| Poultry Sludge | 13 | 1 | 7.69 |
| Total | 138 | 13 | 9.4% |
Table Showing the Primer Sequence, Amplification Conditions and Distribution of Different Antibiotic-Resistance Determinants Among K. pneumoniae Isolates
| Name of the Gene | Primers Sequence | Annealing | Percentage Prevalence | Reference |
|---|---|---|---|---|
| 16SrDNA | F-AGAGTTTGATCTGGCTCAG | 51 | 100 | |
| F-TCAACATTTCCGTGTCG | 42 | 100 | ||
| F-ATGCGTTATATTCGCCTGTG | 47 | 92.30 | ||
| F-CGTTTCCGCTATTACAAACCGTTG | 56 | 84.6 | ||
| F-TGGAAGCCCTGGAGAAAAGT | 60 | 15.3 | ||
| F-ATGGTGACAAAGAGAGTGCA | 56 | 30.7 | ||
| F-GAGAGTGCAACGGATGATG | 56 | 84.6 | ||
| F- GGATATCGTTGGTGGTGCCATA | 60 | 100 | ||
| F-TGCAGAGCCCAGTGTCAGTTT | 52 | 7.6 | ||
| F-GGAATAGAGTGGCTTAATTCTC | 55 | 0 | ||
| F-GATGGTGTTTGGTCGCATA | 52 | 0 | ||
| F-TCGACACACCTTGGTCTGAA | 52 | 0 | ||
| F-TGCCCAATATTATGCACCCGG | 60 | 92.30 | ||
| F-TTGGTGGCATCGATTATCGG | 56 | 84.6 | ||
| F-ATTTCTCACGCCAGGATTTG | 52 | 0 | ||
| F-GATCGTGAAAGCCAGAAAGG | 50 | 53.8 | ||
| F-ACGACATTCGTCAACTGCAA | 52 | 46.1 | ||
| F-GTGAAACCCAACATACCCC | 52 | 30.7 | ||
| F-CCTTATCATGCCAGTCTTGC | 52 | 23.0 | ||
| F-CGGCGTGGGCTACCTGAACG | 67 | 30.7 | ||
| F-GCGCTCAAGGCAGATGGCATT | 67 | 30.7 |
Distribution of MICs of Carbapenem-Resistant Klebsiella pneumoniae (KP) Isolates Belonging to Various Multilocus Sequences Typing (MLST)
| AntImicrobial Agents | MIC* Interpretative Breakpoints (µg/mL) | Isolates MIC (µg/mL) and MLST Types | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kp-1a | Kp-2b | Kp-3g | Kp-4c | Kp-5d | Kp-6e | Kp-7a | Kp-8d | Kp-9a | Kp-10b | Kp-11b | Kp-12e | Kp-13f | ||
| AMP | ≥32 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 |
| PRL | ≥128 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 |
| CXM | ≥4 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 |
| CFM | ≥16 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 |
| CRO | ≥4 | ≥256 | ≥256 | ≥256 | ≥256 | 256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 | ≥256 |
| FEP | ≥16 | ≥256 | 256 | ≥256 | 256 | 256 | ≥256 | 256 | 256 | 256 | 128 | ≥256 | ≥256 | ≥256 |
| MEM | ≥4 | 64 | 128 | 128 | 64 | 32 | 128 | 64 | 64 | 128 | 64 | 128 | 128 | 128 |
| CIP | ≥1 | 8 | 32 | 32 | 1 | 16 | 16 | 1 | 8 | 0.5 | 32 | 0.5 | 16 | 0.5 |
| MH | ≥16 | 16 | 2 | 64 | 16 | 64 | 2 | 16 | 1 | 1 | 2 | 1 | 2 | 16 |
| TE | ≥16 | 32 | 4 | 16 | 16 | 16 | 4 | 32 | 2 | 2 | 2 | 2 | 4 | 16 |
| TGC* | ≥2 | 0.25 | 0.25 | 0.5 | 0.125 | 0.125 | 0.125 | 0.25 | 0.125 | 0.125 | 0.25 | 0.125 | 0.125 | 0.25 |
| CT | ≥4 | 0.5 | 0.5 | 0.25 | 0.5 | 0.5 | 0.25 | 0.25 | 0.125 | 0.125 | 0.5 | 0.125 | 0.25 | 0.5 |
| SXT | ≥4/76 | 16/304 | 2/38 | 64/1216 | 8/152 | 8/152 | 2/38 | 8/152 | 1/19 | 1/19 | 2/38 | 2/38 | 2/38 | 2/38 |
| MLST Types | ST29 | ST11 | ST258 | ST29 | ST29 | ST11 | ST29 | ST11 | ST29 | ST11 | ST29 | ST11 | ST29 | |
Notes: aAbattoir wastewater, bAnimal farm wastewater, cPoultry farm wastewater, dMilk Sample, eFecal samples, fAnimal Sludge, gPoultry Sludge, *EUCAST breakpoint.
Abbreviations: *MIC, minimum inhibitory concentration; Amp, ampicillin; CIP, ciprofloxacin; CT, colistin; CFM, cefixime; CXM, cefuroxime; CRO, ceftriaxone; FEP, cefepime; MEM, meropenem; MH, minocycline; PRL, piperacillin; TE, tetracycline; TGC, tigecycline; SXT, trimethoprim-sulfamethoxazole (1:19).
Co-Existence of Different β-Lactamases and Metallo-β-Lactamases Encoding Genes Among Carbapenem-Resistant Klebsiella pneumoniae (KP) Isolates
| Carbapenem-Resistant | Source | MIC* of Meropenem (µg/mL) | Beta-Lactamases Genes |
|---|---|---|---|
| Kp-1 | Abattoir wastewater | 64 | blaCTXM-1+blaCTXM-9+ blaCTXM-14+blaOXA48+blaNDM |
| Kp-2 | Animal farm wastewater | 128 | blaCTXM-1+blaCTXM-14+ blaOXA48+blaNDM |
| Kp-3 | Poultry Sludge | 128 | blaCTXM-1+blaCTXM-14+ blaOXA48+ blaNDM |
| Kp-4 | Poultry farm wastewater | 64 | blaCTXM-1+blaCTXM-14+ blaOXA48+blaNDM |
| Kp-5 | Milk | 32 | blaCTXM-1+blaCTXM-14+ blaOXA48 |
| Kp-6 | Fecal samples | 128 | blaCTXM-1+blaCTXM-14+ blaOXA48+ blaNDM |
| Kp-7 | Abattoir wastewater | 64 | blaCTXM-2+blaCTXM-9+blaNDM |
| Kp-8 | Milk | 64 | blaCTXM-2+blaCTXM-9+blaNDM |
| Kp-9 | Abattoir wastewater | 128 | blaCTXM-1+blaCTXM-14+ blaOXA48+blaNDM |
| Kp-10 | Animal farm wastewater | 64 | blaCTXM-1+blaCTXM-14+ blaOXA48+ blaNDM |
| Kp-11 | Animal farm wastewater | 128 | blaCTXM-1+blaCTXM-9+ blaCTXM-14+ blaOXA48+ blaNDM+blaKPC |
| Kp-12 | Fecal samples | 128 | blaCTXM-1+blaCTXM-14+ blaOXA48+ blaNDM |
| Kp-13 | Animal Sludge | 128 | blaCTXM-1+blaCTXM-14+ blaOXA48+ blaNDM |
Abbreviation: *MIC, minimum inhibitory concentration.