| Literature DB >> 35902639 |
Aye Mya Sithu Shein1,2,3, Paul G Higgins4,5,6, Cameron Hurst4,7, Shuichi Abe8,4, Parichart Hongsing4,9,10, Dhammika Leshan Wannigama11,12,13,14,15,16, Naphat Chantaravisoot17,18, Thammakorn Saethang19, Sirirat Luk-In20, Tingting Liao4,21,22, Sumanee Nilgate1,2, Ubolrat Rirerm1,2, Naris Kueakulpattana1,2, Sukrit Srisakul1,2, Apichaya Aryukarn1,2, Matchima Laowansiri1,2, Lee Yin Hao1,2, Manta Yonpiam1,2, Naveen Kumar Devanga Ragupathi8,4,23,24, Teerasit Techawiwattanaboon1,25, Natharin Ngamwongsatit26, Mohan Amarasiri4,27, Puey Ounjai28, Rosalyn Kupwiwat4,29, Phatthranit Phattharapornjaroen4,30,31, Vishnu Nayak Badavath32, Asada Leelahavanichkul1,33, Anthony Kicic34,35,36,37, Tanittha Chatsuwan38,39.
Abstract
The global prevalence of colistin-resistant Klebsiella pneumoniae (ColRkp) facilitated by chromosomal and plasmid-mediated Ara4N or PEtN-remodeled LPS alterations has steadily increased with increased colistin usage for treating carbapenem-resistant K. pneumoniae (CRkp). Our study demonstrated the rising trend of ColRkp showing extensively and pandrug-resistant characteristics among CRkp, with a prevalence of 28.5%, which was mediated by chromosomal mgrB, pmrB, or phoQ mutations (91.5%), and plasmid-mediated mcr-1.1, mcr-8.1, mcr-8.2 alone or in conjunction with R256G PmrB (8.5%). Several genetic alterations in mgrB (85.1%) with increased expressions of Ara4N-related phoPQ and pmrK were critical for establishing colistin resistance in our isolates. In this study, we discovered the significant associations between extensively drug-resistant bacteria (XDR) and pandrug-resistant bacteria (PDR) ColRkp in terms of moderate, weak or no biofilm-producing abilities, and altered expressions of virulence factors. These ColRkp would therefore be very challenging to treat, emphasizing for innovative therapy to combat these infections. Regardless of the underlying colistin-resistant mechanisms, colistin-EDTA combination therapy in this study produced potent synergistic effects in both in vitro and in vivo murine bacteremia, with no ColRkp regrowth and improved animal survival, implying the significance of colistin-EDTA combination therapy as systemic therapy for unlocking colistin resistance in ColRkp-associated bacteremia.Entities:
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Year: 2022 PMID: 35902639 PMCID: PMC9334626 DOI: 10.1038/s41598-022-17083-5
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Susceptibilities to different antibiotics among planktonic and biofilms of 165 carbapenem-resistant Klebsiella pneumoniae clinical isolates.
| Antimicrobial agents | MIC 50 (mg/L) | MIC 90 (mg/L) | MIC range (mg/L) | MBEC (mg/L) | Susceptibility | ||
|---|---|---|---|---|---|---|---|
| Resistance (n) (%) | Intermediate (n) (%) | Susceptible (n) (%) | |||||
| Ceftazidime | > 512 | > 512 | 32 to > 512 | > 2048 | 165 (100%) | – | – |
| Ciprofloxacin | 512 | > 512 | 2 to > 512 | > 2048 | 165 (100%) | – | – |
| Imipenem | 64 | 256 | 0.25 to > 512 | > 2048 | 156 (94.5%) | 3 (1.8%) | 6 (3.6%) |
| Meropenem | 128 | 256 | 0.125 to > 512 | > 2048 | 149 (90.3%) | 4 (2.4%) | 12 (7.3%) |
| Fosfomycin | 64 | > 512 | 2 to > 512 | > 2048 | 52 (31.5%) | 18 (10.9%) | 95 (57.6%) |
| Amikacin | 16 | > 512 | 1 to > 512 | > 2048 | 39 (23.6%) | 32 (19.4%) | 94 (57.0%) |
| Colistin | 0.5 | 64 | 0.125 to > 512 | > 2048 | 47 (28.50%) | – | 118 (71.50%) |
Mechanisms of colistin resistance with respective MIC, FICI, biofilm biovolume and drug-resistant genes profiles of 47 ColRkp clinical isolates.
| ColRkp isolates | Year of collection | No of isolates (n) (%) | Colistin MIC range (mg/L) | EDTA MIC range (mg/mL) | Mechanisms of colistin resistance | ESBL profile | Carbapenemase profile | Biofilm | Synergy testing | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Biovolume | Interpretation | Colistin (mg/L) + EDTA (mg/mL) | FICI† | Interpretation | ||||||||
| XDR | 2016 | 6 (12.8%) | 8–64 | 3–24 | Disrupted | TEM, CTXM | NDM, OXA48 | 0.6072052 | Strong biofilm producer | 0.25 + 12 | 0.28125 | Synergy |
| 2016 | TEM, CTXM | NDM, OXA48 | 0.7851432 | Strong biofilm producer | 0.15625 | Synergy | ||||||
| 2016 | TEM, CTXM | OXA48 | 0.7547039 | Strong biofilm producer | 0.28125 | Synergy | ||||||
| 2020 | TEM, CTXM | OXA48 | 0.5837053 | Strong biofilm producer | 0.28125 | Synergy | ||||||
| 2020 | SHV, TEM, CTXM | NDM, VIM | 0.6986195 | Strong biofilm producer | 0.3125 | Synergy | ||||||
| 2021 | SHV, TEM, CTXM | OXA48 | 0.2028673 | Weak biofilm producer | 0.1875 | Synergy | ||||||
| 2016 | 5 (10.6%) | 16–64 | 6–24 | Disrupted | TEM, CTXM | NDM, OXA48 | 1.1295769 | Strong biofilm producer | 0.15625 | Synergy | ||
| 2016 | TEM, CTXM | OXA48 | 0.9330016 | Strong biofilm producer | 0.375 | Synergy | ||||||
| XDR | 2021 | 5 (10.6%) | 16–64 | 6–24 | Disrupted | TEM, CTXM | OXA48 | 0.2589766 | Moderate biofilm producer | 0.25 + 12 | 0.28125 | Synergy |
| 2021 | SHV, TEM, OXA, CTXM | NDM | 0.7059172 | Strong biofilm producer | 0.26562 | Synergy | ||||||
| 2021 | SHV, TEM, CTXM | NDM | 0.4435550 | Moderate biofilm producer | 0.125 | Synergy | ||||||
| 2019 | 1 (2.1%) | > 512 | 24 | Disrupted | TEM, CTXM | NDM, OXA48 | 0.1545586 | Weak biofilm producer | - | - | ||
| 2019 | 1 (2.1%) | 32 | 12 | Disrupted | OXA, CTXM | NDM | 3.0136653 | Strong biofilm producer | 0.125 | Synergy | ||
| 2018 | 2 (4.2%) | 16–64 | 6–24 | Disrupted | TEM, CTXM | NDM | 1.5821402 | Strong biofilm producer | 0.51562 | Synergy | ||
| 2021 | TEM, CTXM | NDM | 0.75079400 | Strong biofilm producer | 0.1875 | Synergy | ||||||
| XDR | 2018 | 2 (4.2%) | 8–32 | 6–12 | Disrupted | SHV | NDM | 1.7099703 | Strong biofilm producer | 0.25 + 12 | 0.5125 | Synergy |
| 2021 | SHV | NDM | 0.4536482 | Strong biofilm producer | 0.125 | Synergy | ||||||
| 2019 | 5 (10.6%) | 32–64 | 3–24 | Disruption of promoter region by IS | TEM, CTXM | NDM, OXA48 | 0.9063939 | Strong biofilm producer | 0.28125 | Synergy | ||
| 2020 | SHV, TEM, CTXM | NDM, OXA48, VIM | 1.0445467 | Strong biofilm producer | 0.3125 | Synergy | ||||||
| 2020 | SHV,TEM, CTXM | NDM, OXA48, VIM | 0.3334343 | Moderate biofilm producer | 0.1875 | Synergy | ||||||
| 2019 | TEM, CTXM | NDM, OXA48 | 0.5569316 | Strong biofilm producer | 0.26562 | Synergy | ||||||
| 2021 | TEM, CTXM | NDM, OXA48 | 0.6579625 | Strong biofilm producer | 0.28125 | Synergy | ||||||
| XDR | 2016 | 2 (4.2%) | 16 | 3–24 | Disrupted | SHV, TEM, CTXM | OXA48 | 0.7402832 | Strong biofilm producer | 0.25 + 12 | 0.28125 | Synergy |
| 2021 | TEM, CTXM | OXA48 | 1.1349370 | Strong biofilm producer | 0.26562 | Synergy | ||||||
| 2021 | 2 (4.2%) | 32–64 | 6–24 | Disrupted | SHV, TEM, CTXM | OXA48 | 0.8357722 | Strong biofilm producer | 0.375 | Synergy | ||
| 2021 | SHV, TEM, CTXM | OXA48 | 0.4406312 | Strong biofilm producer | 0.26562 | Synergy | ||||||
| 2020 | 2 (4.2%) | 16–32 | 6–12 | Disrupted | SHV, OXA, TEM | NDM,OXA48 | 0.1867919 | Weak biofilm producer | 0.1875 | Synergy | ||
| 2021 | SHV, OXA, TEM | NDM,OXA48 | 0.5518096 | Strong biofilm producer | 0.28125 | Synergy | ||||||
| 2017 | 6 (12.8%) | 32–64 | 12–24 | Non-functional MgrB due to nonsense point mutation (A7T,AAA > TAA) causing premature internal stop codon in | TEM, CTXM | OXA48 | 0.9271056 | Strong biofilm producer | 0.1875 | Synergy | ||
| 2020 | TEM, CTXM | OXA48 | 0.6856009 | Strong biofilm producer | 0.375 | Synergy | ||||||
| XDR | 2021 | 6 (12.8%) | 32–64 | 12–24 | Non-functional MgrB due to nonsense point mutation (G59A, TGG > TGA) causing premature internal stop codon in | SHV, TEM, CTXM | NDM, OXA48, VIM | 0.4942083 | Strong biofilm producer | 0.25 + 12 | 0.3125 | Synergy |
| 2021 | SHV, TEM, CTXM | NDM, OXA48, VIM | 0.9054448 | Strong biofilm producer | 0.15625 | Synergy | ||||||
| 2019 | Non-functional MgrB due to nonsense point mutation in initial codon of | TEM, CTXM | NDM, OXA48 | 0.0622649 | No biofilm producer | 0.125 | Synergy | |||||
| 2021 | TEM, CTXM | NDM, OXA48 | 1.3065106 | Strong biofilm producer | 0.28125 | Synergy | ||||||
| 2019 | 4 (8.5%) | 16–64 | 3–24 | Loss of | TEM, CTXM | NDM, OXA48 | 1.3887639 | Strong biofilm producer | 0.28125 | Synergy | ||
| 2020 | SHV, TEM, CTXM | NDM, VIM | 0.8322573 | Strong biofilm producer | 0.28125 | Synergy | ||||||
| 2020 | SHV, TEM, CTXM | OXA48 | 0.3045529 | Moderate biofilm producer | 0.28125 | Synergy | ||||||
| XDR | 2020 | 4 (8.5%) | 16–64 | 3–24 | Loss of | SHV, TEM, CTXM | NDM, OXA48, VIM | 0.3832816 | Moderate biofilm producer | 0.25 + 12 | 0.26562 | Synergy |
| 2017 | 2 (4.25%) | 16–64 | 12–24 | Deleterious PmrB (T157P) due to nonsense point mutation (A469C, ACC > CCC) | OXA, CTXM | OXA48 | 1.0952269 | Strong biofilm producer | 0.1875 | Synergy | ||
| 2019 | SHV, TEM, OXA,CTXM | NDM, OXA48 | 1.6059169 | Strong biofilm producer | 0.1875 | Synergy | ||||||
| 2016 | 1 (2.1%) | 8 | 3 | SHV, TEM, CTXM | – | 0.1704835 | Weak biofilm producer | 0.1875 | Synergy | |||
| 2021 | 2 (4.25%) | 16–32 | 12–24 | SHV, TEM, CTXM | NDM, OXA48 | 1.0103530 | Strong biofilm producer | 0.3125 | Synergy | |||
| XDR | 2021 | SHV, TEM, OXA, CTXM | NDM | 0.5127592 | Strong biofilm producer | 0.25 + 12 | 0.3125 | Synergy | ||||
| PDR | 2019 | 1 (2.1%) | 64 | 24 | Point mutation (G244A, GAA > AAA) cause E82K on the response regulator domain of PhoP which effect on function of PhoP | CTXM | OXA48 | 1.1478433 | Strong biofilm producer | 0.25 + 12 | 0.3125 | Synergy |
| 2020 | 1 (2.1%) | 16 | Loss of | SHV, TEM, CTXM | OXA48 | 0.0703863 | No biofilm producer | 0.28125 | Synergy | |||
| 2021 | 1 (2.1%) | > 512 | 24 | Disrupted | TEM, CTXM | NDM, OXA48 | 0.5559858 | Strong biofilm producer | – | – | ||
| 2020 | 1 (2.1%) | 8 | SHV, TEM, CTXM | NDM, OXA48, VIM | 1.1197109 | Strong biofilm producer | 0.15625 | Synergy | ||||
Figure 1Chromosomal-mediated colistin-resistant mechanisms including (a) mgrB inactivation by different IS within the coding region and the upstream between mgrB start codon and putative promoter region of ColRkp (n = 29), (b) MgrB inactivation by point mutations—A7T MgrB, G3A MgrB, G60A MgrB in ColRkp (n = 6), (c) T157P PmrB in ColRkp (n = 2), (d) E82K PhoP in ColRkp (n = 1), observed in this study.
Figure 2Plasmid-mediated colistin-resistant mechanisms (a) presence of Mcr-1.1 in ColRkp (n = 2), (b) presence of Mcr-8.1 and Mcr-8.2 in ColRkp (n = 1 each), (c) Combined presence of R256G PmrB in ColRkp (n = 2) found in this study.
Figure 3Expressions of LPS modification genes among (a) ColRkp with IS1-like integration in mgrB, (b) ColRkp with G60A mgrB, (c) ColRkp with deleted mgrB, (d) ColRkp with T157P PmrB, (e) ColRkp with E82K PhoP, and (f) ColRkp with combined presence of mcr-8.1 and R256G PmrB.
Figure 4(a) Determination of biofilm production, (b) classification of biofilm producers among XDR and PDR ColRkp clinical isolates.
Figure 5(a) Frequencies of virulence factors combination present among XDR and PDR ColRkp clinical isolates, (b) Relative expression of different virulence factors in ColRkp clinical isolates.
Figure 6Time-kill effects of single and combination of colistin and EDTA on 11 representative PDR and XDR ColRKp clinical isolates with plasmid-mediated and chromosomal mgrB or pmrB or phoP-mediated colistin-resistant mechanisms.
Figure 7Effects of colistin, EDTA and colistin-EDTA combination therapy on (a) bacterial burden in murine peritoneal ColRkp-associated bacteraemia (b) survival of treated mice infected with ColRkp-associated bacteraemia.