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azine-functionalized AgI and AuI complexes were also found to
affect S. mutans and E. coli biofilms.
Recently, we gathered a significant library of metal–NHCs
and azolium salts for biological application. This prompted us
to evaluate their anti-biofilm activity against representative
pathogenic bacteria. The automatized BioFilm Ring Test,
a high-throughput screening tool with high reproducibility
was used to detect molecules with high test scores. The most
relevant results for 89 compounds are presented herein.
For this study we selected various NHC complexes with
group 11 metals (CuI, AgI, and AuI), with a majority being Ag–
NHCs (Figures S1 and S2 in the Supporting Information). Most
of the complexes are heteroleptic neutral complexes of the
general formula [(NHC)MX] (M=Ag, Au, Cu) and cationic
[(NHC)2M+, Xꢀ] complexes (M=Ag, Cu). To evaluate the influ-
ence of the NHC ligand on anti-biofilm activity, various NHC
ligand types derived from imidazolium or imidazolinium salts
were tested, in which the nitrogen atoms are substituted with
aromatic, heterocyclic (triazolyl, pyridyl), aliphatic, or function-
alized groups. The activities of representative metal-complexed
N,N’-diaryl-NHCs substituted with additional polar side chains
(ammonium groups, alcohols) were also assessed. A set of imi-
dazol(in)ium salts previously prepared by our research groups
was also tested in parallel (Supporting Information Figure S3).
All compounds were tested at a final concentration of
Figure 1. a) Principle of the BioFilm Ring Test: images of the wells containing
super-paramagnetic beads after magnetization in the absence and presence
of biofilm. b) Example of a 96-well plate (S. aureus aureus CIP7625) after
magnetization, in which active compounds are visualized by the presence of
the brown spots.
The activity of metal–NHCs on planktonic growth and biofilm
formation was quantified with the BioFilm Control Elements
software tools (BioFilm Control, France). The turbidity of the
solution, estimated from an image acquired before magnetiza-
tion and contrasting liquid addition, gives an indicator of
planktonic growth, coined TURB. In parallel, the variation of
the information content between pre- and post-magnetization
images, which is a result of sub-pixel-aligned image analysis al-
gorithms,[23] gives an indicator of biofilm formation coined BFI
(BioFilm Index). These indices were normalized respectively as
TURBnorm and BFInorm, by applying the normalization transform
[ValsampleꢀValcontrol]/[Valsample +Valcontrol]). Both normalized values
range from +1 to ꢀ1, i.e., from activation to inhibition, respec-
tively, of biofilm formation and planktonic growth.
1 mgmLꢀ1
.
The anti-biofilm activity was evaluated on the following bac-
terial strains: Gram+ Listeria monocytogenes EGDe (food patho-
gen),[20] Staphylococcus aureus (ATCC25923, CIP7625), Staphylo-
coccus epidermis (CIP105777), and Gramꢀ Pseudomonas aerugi-
nosa (CIP104116, CIP76110) and Escherichia coli DH5a. The re-
sults were collected after incubation times of 4, 6, and 8 h. This
corresponds to 21 experiments per molecule.
To get a general view of the ability of the compounds to in-
hibit biofilm formation, we determined an information score
(IS), which indicates the general level of activity of a given
compound against the panel of bacterial strains at different in-
cubation times, regardless of its activity type (anti-biofilm
or bactericidal), and an activity score (AS), which indicates
the specificity of the molecule as an anti-biofilm agent.
The IS and AS values were derived from a global anti-
planktonic score (TURBscore) and a global anti-biofilm score
(BFIscore). For each compound, these values, calculated as
TURBscore =[{Count(TURBnorm >0.4)}ꢀ{Count(TURBnorm<ꢀ0.4)}]/21
and BFIscore =[{Count(BFInorm>0.4)}ꢀ{Count(BFInorm<ꢀ0.4)}]/21,
are the average differences across all 21 experiments between
the count of the number of normalized values >0.4 and that
of the number of normalized values less than ꢀ0.4. The arbi-
trary limit at 0.4 introduced in this calculation enabled the de-
tection of compounds with the most significant activities. An
information score was then expressed as IS= jBFIscore j + j
TURBscore j, and an activity score as AS=BFIscore +TURBscore. Be-
cause TURBscore is negative for compounds with significant anti-
bacterial activity, a negative AS indicates a more pronounced
antibacterial activity, whereas a positive AS demonstrates
a general anti-biofilm specificity for the compound in question.
From IS and AS values, the set of all molecules could be rap-
idly classified according to their general activity (IS) and anti-
biofilm specificity (AS) (Supporting Information Figures S4 and
S5). An initial observation of the results showed that a large
majority of the compounds have visible anti-biofilm or anti-
The standard crystal violet method has been widely used to
evaluate the propensity of a given compound to inhibit biofilm
formation. However, this method is not well adapted for rapid
screening of large libraries, mainly due to accumulation of
non-standardized manipulations (washing, staining, de-stain-
ing, and drying steps), which can lead to high result variations
for the same compound.[21] In addition, the test requires at
least 24–48 h for completion. In the present study, we pre-
ferred the automatized BioFilm Ring Test (BRT), which is much
less time-consuming owing to fewer manipulations after the
initial bacterial inoculation (no washing and staining steps).
Moreover, this method was shown to be highly reproducible.
In short, the BRT is based on the immobilization of well-dis-
persed super-paramagnetic beads by forming bacterial aggre-
gates (biofilm) with sufficient strength to overcome displace-
ment when a magnetic field is applied.[22] In the absence of
a biofilm, aggregation of the magnetic beads into a single
point is easily detectable after magnet contact at the center
bottom of the wells (Figure 1). In contrast, in the presence of
an established biofilm, the well-dispersed beads remain in
place, and no aggregation is observed upon magnetization.
Bead mobility is indicative of the status of biofilm formation,
which can be determined by comparison of the images ob-
tained in the presence or absence of a given test compound.
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ChemMedChem 2014, 9, 1140 – 1144 1141