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Pathogen reference

Superbugs: which organisms actually earn the name

The word is journalistic, but the organisms behind it are specific and the list is short. Here is what makes each one difficult.

At a glance

Origin
A journalistic label, not a taxonomic one
Core group
The six ESKAPE pathogens
Common thread
Multiple mechanisms stacked in one isolate
Hardest
Carbapenem resistant A. baumannii and CRE

Superbug is a journalistic label rather than a microbiological category, but the organisms it usually points at are specific and the list is short. What they share is not one clever trick; it is several mechanisms stacked in the same isolate, so that the options remaining after the first failure are already gone too.

Which organisms earn the name

In practice the term covers the ESKAPE group, an acronym coined because these organisms escape the effects of common antibacterials:

OrganismGramWhat makes it hard
Enterococcus faeciumPositivevanA operon remodels the peptidoglycan target away from glycopeptides
Staphylococcus aureusPositivemecA gives a low affinity PBP2a, removing the beta-lactam class
Klebsiella pneumoniaeNegativeCarbapenemases plus porin loss, frequently on the same plasmid background
Acinetobacter baumanniiNegativeLow permeability, AdeABC efflux, OXA type carbapenemases, environmental persistence
Pseudomonas aeruginosaNegativeIntrinsic low permeability, multiple RND pumps, inducible AmpC, biofilm formation
Enterobacter speciesNegativeInducible AmpC that selects rapidly under beta-lactam pressure

Others appear in the same conversation for good reasons: drug resistant Neisseria gonorrhoeae, where the remaining options are genuinely few; Mycobacterium tuberculosis, where multidrug and extensively drug resistant strains are a distinct field; and Clostridioides difficile, which is a consequence of antibiotic use rather than a resistance problem in the usual sense.

Why stacking is the real problem

A single mechanism is usually survivable. A carbapenem resistant K. pneumoniae isolate often carries a carbapenemase, a porin change, an extended spectrum beta-lactamase and a plasmid borne quinolone resistance determinant at the same time. Each one alone would leave a route through. Together they close most of them, and the remaining agents are older, more toxic or less well supported by outcome data.

This is also why screening against a single organism is misleading. The useful question is which of a panel a compound holds, and by which mechanism it loses the rest. The antibiotic resistance page sets out the four mechanism classes that do the stacking.

What is left when the usual agents fail

  • Colistin and the polymyxins, reintroduced out of necessity, with real toxicity and now with plasmid borne mcr resistance in circulation.
  • Newer beta-lactam and inhibitor combinations such as ceftazidime-avibactam and meropenem-vaborbactam, covered on the carbapenem resistance page.
  • Cefiderocol, a siderophore cephalosporin that uses iron transport to get itself across the outer membrane, which is a neat answer to the uptake problem.
  • Gram-positive agents including linezolid, daptomycin and the newer glycopeptides, for MRSA and VRE.

What this means for discovery

Three practical consequences for a program:

  1. Activity against a laboratory reference strain says little. Circulating isolates carry the stack.
  2. The mechanism a compound loses to matters more than the MIC it loses at, because it determines whether chemistry can recover the series. Efflux and permeability are workable. Target mutation usually is not.
  3. Uptake beats affinity as a design constraint on Gram-negatives, for the reasons set out under Gram-negative bacteria.

Screen against the panel

The screen below runs the full ESKAPE set. It returns a predicted MIC band per organism, the expected resistance mechanism, and a confidence level that tells you how much published data sits behind each row. It is a computational prediction and it is research use only, which is exactly the right status for a triage step.

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Screen a compound against the ESKAPE panel

The panel below is preselected for this page. Change the compound, run it, and read the matrix. Three screens per session, no account needed.

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Strain panel

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Ready to run Vancomycin ESKAPE panel
Nothing predicted until you run
Strain MIC (µg/mL) Call Resistance risk Conf.
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Nothing here is predicted yet

These are the strains this page preselected, waiting on a compound. Run the screen and every row fills in with an MIC band, an S / I / R call, the mechanism expected to decide it and a confidence out of four.

Strain MIC (µg/mL) Call Resistance risk Conf.

Why

Closest published analogs

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Computational prediction from published literature. Research use only, not a lab measurement and not clinical guidance.

Take it from reading to a read-out

Run a screen on the compound this page made you think about, then create an account when you want to keep the result and bring the series.

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  • Never used for model training
  • Deletable on request
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