Molecular epidemiology of carbapenemase-producing Klebsiella pneumoniae in Gauteng South Africa
Bibliographic record
Abstract
Klebsiella pneumoniae multidrug-resistant (MDR) high-risk clones drive the spread of antimicrobial resistance (AMR) associated infections, resulting in limited therapeutic options. This study described the genomic characteristics of K. pneumoniae MDR high-risk clones in Gauteng, South Africa. Representative carbapenem-resistant [ K. pneumoniae carbapenemase (KPC)-2, New-Delhi metallo-beta (β)-lactamase (NDM)-1, oxacillinase (OXA)-181, OXA-232, OXA-48, Verona integron-encoded metallo-β-lactamase (VIM)-1] K. pneumoniae isolates (n = 22) obtained from inpatient and outpatient’s urine (n = 9) and inpatients rectal carriage (n = 13) were selected for short-read whole genome sequencing. Klebsiella pneumoniae population include sequence type (ST)-307 (n = 3), ST2497 (n = 5) and ST17 (n = 4). The ST17 strains were exclusively obtained from rectal screening. Ten isolates co-harboured carbapenemase genes including β-lactamase gene encoding KPC-2 + OXA-181, NDM-1 + OXA-48 and NDM-1 + OXA-181. One ST307 isolate (UP-KT-73CKP) co-harboured three carbapenemase genes ( bla NDM-1 + bla OXA-48 + bla OXA-181 ), while all the ST2497 strains co-harboured ( bla NDM-1 + bla OXA-232 ). Phenotypically, hypermucoviscosity was observed in a single ST307 isolate. The ST307 isolate UP-KT-151UKP harboured colibactin genotoxins. The following mobile genetic elements were detected: plasmids [incompatibility group (Inc)-FIB(K), IncX3], and bacteriophages [e.g. Klebsi_ST16_OXA48phi5.4_NC_049450, Klebsi_3LV2017_NC_047817(36)]. The study highlights the importance of local genomic surveillance systems to characterise K. pneumoniae MDR high-risk clones. This data will aid in designing infection and prevention measures for limiting the spread of carbapenemase-producing K. pneumoniae in Gauteng, South Africa.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".