Molecular profiling of antimicrobial resistance and integron association of multidrug-resistant clinical isolates of<i>Shigella</i>species from Faisalabad, Pakistan
Bibliographic record
Abstract
Bacillary dysentery, common in developing countries, is usually caused by Shigella species. A major problem in shigellosis is the rapid emergence of multidrug-resistant strains. This is the first detailed molecular study on drug resistance of Shigella isolates from the Faisalabad region of Pakistan. Ninety-five Shigella isolates obtained after screening of 2500 stool samples were evaluated for in vitro resistance to commonly used antimicrobial agents; the presence or absence of 20 of the most relevant drug resistance genes; and the prevalence of integrons 1, 2, and 3. Shigella flexneri was found to be the most prevalent and most resistant species. Collectively, high resistance was found towards ampicillin (96.84%), tetracycline (93.68%), streptomycin (77.89%), and chloramphenicol (72.63%). Significant emerging resistance was detected towards the modern frontline drugs ciprofloxacin (12.63%), cefradine (17.89%), ceftriaxone (20.00%), cefoperazone (22.10%), and cefixime (28.42%). Prevalence rates for bla(TEM), bla(CTX-M), gyrA, gyrB, qnrS, aadA1, strAB, tetA, tetB, catA, and catP were 78.94%, 12.63%, 20.00%, 21.05%, 21.05%, 67.36%, 42.10%, 12.63%, 53.68%, 33.68%, and 25.26%, respectively. Class 2 integrons (42.10%) were more common in the local isolates. Simultaneous detection of class 1 and 2 integrons in some isolates and a rapidly emerging resistance to modern frontline drugs are the major findings of this study.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".