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    This article was downloaded by: [202.67.42.25]On: 03 December 2013, At: 16:59Publisher: Taylor & FrancisInforma Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House37-41 Mortimer Street, London W1T 3JH, UK

    Biofouling: The Journal of Bioadhesion and Biofilm

    Research

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    The specific degree-of-polymerization of A-type

    proanthocyanidin oligomers impacts Streptococcus

    mutans glucan-mediated adhesion and transcriptome

    responses within biofilmsGuoping Feng

    a, Marlise I. Klein

    a, Stacy Gregoire

    a, Ajay P. Singh

    b, Nicholi Vorsa

    bc&

    Hyun Kooad

    aCenter for Oral Biology, University of Rochester Medical Center , Rochester , NY , USA

    b

    Department of Plant Biology and Plant Pathology , Rutgers University , New Brunswick ,NJ , USAcPhilip E. Marucci Center for Blueberry and Cranberry Research and Extension, Rutgers

    University , Chatsworth , NJ , USAdDepartment of Microbiology and Immunology , University of Rochester Medical Center ,

    Rochester , NY , USA

    Published online: 22 May 2013.

    To cite this article:Guoping Feng , Marlise I. Klein , Stacy Gregoire , Ajay P. Singh , Nicholi Vorsa & Hyun Koo (2013) Thespecific degree-of-polymerization of A-type proanthocyanidin oligomers impacts Streptococcus mutans glucan-mediated

    adhesion and transcriptome responses within biofilms, Biofouling: The Journal of Bioadhesion and Biofilm Research, 29:6,

    629-640, DOI: 10.1080/08927014.2013.794456

    To link to this article: http://dx.doi.org/10.1080/08927014.2013.794456

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    The specic degree-of-polymerization of A-type proanthocyanidin oligomers impacts

    Streptococcus mutans glucan-mediated adhesion and transcriptome responses within bio

    lmsGuoping Fenga, Marlise I. Kleina, Stacy Gregoirea, Ajay P. Singhb, Nicholi Vorsab,c and Hyun Kooa,d*

    aCenter for Oral Biology, University of Rochester Medical Center, Rochester, NY, USA; bDepartment of Plant Biology and PlantPathology, Rutgers University, New Brunswick, NJ, USA; cPhilip E. Marucci Center for Blueberry and Cranberry Research andExtension, Rutgers University, Chatsworth, NJ, USA;

    dDepartment of Microbiology and Immunology, University of Rochester Medical

    Center, Rochester, NY, USA

    (Received 15 January 2013;nal version received 28 March 2013)

    Cranberry A-type proanthocyanidins (PACs) have been recognized for their inhibitory activity against bacterial adhesionand biolm-derived infections. However, the precise identication of the specic classes of degree-of-polymerization(DP) conferring PACs bioactivity remains a major challenge owing to the complex chemistry of these avonoids. In thisstudy, chemically characterized cranberries were used in a multistep separation and structure-determination technique toisolate A-type PAC oligomers of dened DP. The inuences of PACs on the 3D architecture of biolms and

    Streptococcus mutans-transcriptome responses within biolms were investigated. Treatment regimens that simulatedtopical exposures experienced clinically (twice-daily, 60 s each) were used over a saliva-coated hydroxyapatite biolmmodel. Biolm accumulation was impaired, while specic genes involved in the adhesion of bacteria, acid stress toler-ance, and glycolysis were affected by the topical treatments (vs the vehicle-control). Genes (rmpC, mepA, sdcBB, andgbpC) associated with sucrose-dependent binding of bacteria were repressed by PACs. PACs of DP 4 and particularlyDP 8 to 13 were the most effective in disrupting bacterial adhesion to glucan-coated apatitic surface (>85% inhibition vsvehicle control), and gene expression (eg rmpC). This study identied putative molecular targets of A-type cranberryPACs in S. mutans while demonstrating that PAC oligomers with a specic DP may be effective in disrupting theassembly of cariogenic biolms.

    Keywords:Streptococcus mutans; biolm; cranberry; proanthocyanidin; adhesion

    Introduction

    Biolms are highly organized and structured microbial

    communities enmeshed in an extracellular matrixcomprised mainly of polysaccharides and proteins

    (Flemming & Wingender 2010). Biolms are the prevail-

    ing microbial lifestyle in natural niches, causing many

    diseases in humans including those occurring in the

    mouth, such as dental caries (OToole et al. 2000;

    Hall-Stoodley et al. 2004). Dental caries is one of the

    most prevalent and costly biolm-dependent oral

    diseases worldwide (Marsh 2003).

    In the mouth, the assembly of cariogenic biolms is a

    prime example of the consequences arising from interac-

    tions between bacteria (and their products) and dietary

    sugars on pellicle-coated tooth surfaces. Within the

    complex oral microbiome, Streptococcus mutans (one of

    the main species responsible for dental caries) is not

    always the most abundant organism. However, it can rap-

    idly orchestrate the formation of cariogenic biolms when

    sucrose becomes available (Paes Leme et al. 2006; Klein

    et al. 2012). S. mutans-derived glucosyltransferases (Gtfs)

    are present in the tooth pellicle and on microbial surfaces,

    producing exopolysaccharides (EPS) in situ (Schilling &

    Bowen 1992; Vacca-Smith & Bowen 1998; Gregoire et al.2011). The EPS formed on surfaces provides binding sites

    for bacteria (particularly for S. mutans) promoting local

    accumulation of microbes while forming a diffusion-limit-

    ing polymeric matrix that protects embedded bacteria

    (Stewart & Franklin 2008; Xiao et al. 2012).

    In parallel, sucrose (and other sugars) is also

    fermented by S. mutans and other acidogenic bacteria

    within the EPS-rich matrix, creating acidic microenviron-

    ments across the biolm and at the attachment surface

    (Xiao et al. 2012). The low pH environment facilitates

    EPS production while acid-tolerant and acidogenic ora

    prosper within biolms, ensuring continued accumulation

    of EPS and acids that promote biolm accretion andlocalized dissolution of the adjacent tooth enamel (Paes

    Leme et al. 2006). Once the biolm is established, the

    resident bacteria become recalcitrant to antimicrobial

    therapies, making them difcult to remove while

    facilitating their virulence expression (Lewis 2001).

    *Corresponding author. Email: [email protected]

    Present address: Department of Food Science, Cornell University, Ithaca, NY 14853, USA.

    Biofouling, 2013

    Vol. 29, No. 6, 629640, http://dx.doi.org/10.1080/08927014.2013.794456

    2013 Taylor & Francis

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    Therefore, interventions that target EPS-mediated

    bacterial binding and biolm assembly could disrupt the

    pathogenesis of dental caries in a highly precise manner.

    Cranberries are widely cultivated and consumed, par-

    ticularly in the USA. Cranberry fruit is a rich source of

    various classes of avonoids including avonols, antho-

    cyanins, and proanthocyanidins (PACs; polymeric

    avan-3-ols), and offers signicant therapeutic potential (Cote

    et al. 2010). Cranberry juice and aqueous extracts have

    been recognized for their anti-adhesion and anti-biolm

    activity against several bacterial pathogens including the

    uropathogenic Escherichia coli and Helicobacter pylori

    (Howell et al. 1998; Burger et al. 2000; Liu et al. 2006;

    Koo, Duarte, et al. 2010). The extracts also affected the

    swarming activity of Pseudomonas aeruginosa (OMay

    & Tufenkji 2011). PACs appear to be the main bioactive

    avonoid. PACs in cranberry are predominantly found in

    oligomeric forms (up to 13 monomeric units) with at

    least one A-type double interavan linkage [epicatechin-

    (4 8, 2O 7)-epicatechin] (Foo et al. 2000a).This double linkage affords conformational rigidity to

    PACs and appears to play a role in their anti-adhesion

    bioactivity (Foo et al. 2000b; Howell et al. 2005). A-type

    PACs are found in high concentrations uniquely in cran-

    berries. A-type PACs appear to be more bioactive than

    B-type PACs, which lack the second interavan linkage,

    and which are found in other tannin-rich foods (Yanagida

    et al. 2000; Foo et al. 2000b; Howell et al. 2005;

    Gregoire et al. 2007).

    Previous studies have shown that PACs-containing

    extract is highly effective in inhibiting the synthesis of

    EPS by surface-adsorbed Gtfs, and impairing the accumu-

    lation of biolms ofS. mutans on apatitic surfaces (Duarteet al. 2006). Recently, it was reported that topical applica-

    tion of an extract containing cranberry PACs reduced the

    incidence of dental caries in vivo (Koo, Duarte, et al.

    2010). Interestingly, the PACs neither affected bacterial

    growth in vitro nor the number of viable populations

    in vivo (Duarte et al. 2006; Koo, Duarte, et al. 2010).

    Although previous studies have shown the anti-adhesion/

    anti-biolm properties of cranberry extracts, the identity of

    the bioactive PACs and their molecular targets against S.

    mutansremain to be elucidated. The isolation of individual

    PAC oligomers from cranberries is challenging due to their

    complex chemistry and multiple degrees-of-polymeriza-

    tion (DP) with similar mass to charge ratios. Yet, it is a

    critical step for further elucidation of the mechanisms of

    action and standardization/characterization of this natural

    product, both of which are key factors for the successful

    development of useful therapies to treat human diseases

    (Schmidt et al. 2007).

    In this study, a chemically characterized cranberry cul-

    tivar which is propagated clonally and consists of a single

    genotype was used. A step-wise chromatographic isola-

    tion method yielded a highly reproducible PACs-enriched

    fraction and individual PACs. It was found that cranberry

    PACs modulate the expression of several virulence factors

    associated with sucrose-dependent adhesion. The bioac-

    tivity of individual PACs on the S. mutans transcriptome

    and bacterial adhesion varied depending on their DP. The

    data provide insights into the potential therapeutic targets

    and the identity of cranberry PACs with high potency,which could be used to design new therapies to be evalu-

    ated in vivo.

    Materials and methods

    Cranberry source and extraction procedures

    The fruit source for the PAC oligomers was from the

    cranberry cultivar Stevens, which was grown and

    harvested from the variety trial at the PE Marucci Center,

    Rutgers University, Chatsworth, NJ. Stevens is well-

    dened genetically (Fajardo et al. 2012), and is a widely

    grown commercial cranberry cultivar with a high avo-

    noid content (Vvedenskaya & Vorsa 2004). Cranberrieswere grown under standard (and monitored) nutritional

    and cultivation conditions. Plants of the cultivar

    Stevens in eld plots were ngerprinted using DNA

    SCAR proling to conrm the genotype and to verify

    that there was no contamination by genetic off-types

    (Polashock & Vorsa 2002).

    Isolation and purication of cranberry A-type PACs

    oligomers

    Fruit was harvested early in the season, prior to fruit

    anthocyanin synthesis, and used for the isolation A-type

    PACs. The cranberry PACs-containing fraction was

    obtained as described previously (Koo, Duarte, et al.2010). The puried fraction contained oligomers (210),

    and polymers 11, 12, and 13, and was devoid of any

    otheravonoid contaminants (eg avonols and anthocya-

    nins). Individual PACs were further isolated and puried

    using a method published previously based on HPLC

    and diol gravity column chromatography (Singh et al.

    2009). The purity of all isolated PAC DP classes was

    >95% (w/w) as determined using liquid chromatography-

    mass spectrometry (LC-MS-MS) and matrix-assisted

    laser desorption/ionization time-of-ight mass spectrome-

    try (MALDI-TOF-MS). The treatment concentrations

    used for the microarray analysis were 1.5 mg ml1 of the

    puried PAC only-fraction, which was selected based on

    a previous study (Koo, Duarte, et al. 2010). For compar-

    ing the bioactivity of the various PAC molecules of dif-

    ferent DP, the treatment concentration was 100M for

    DP 2, DP 3, DP 4, DP 56 (combined 1:1 equimolar),

    DP 89 (combined 1:1), DP 1011 (combined 1:1), and

    DP 1213 (combined 1:1), which was the approximate

    amount present in the PAC extract. All compounds were

    dissolved in 15% ethanol in 2.5 mM potassium phos-

    phate buffer, which was also used as a vehicle control;

    630 G. Fenget al.

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    treatments with 15% ethanol did not affect the viability

    of cells of S. mutans in a biolm when compared to

    untreated controls. The pH of the treatment solutions

    was maintained at 6.5 0.2. Based on stability studies

    (data not shown) the isolated PACs were found to be

    stable at pH 6.5, with enhanced solubility.

    Preparation and treatment of the biolm

    Biolms of S. mutans were formed on saliva coated

    hydroxyapatite (sHA) surfaces (12.7 mm in diameter,

    1 mm in thickness, Clarkson Chromatography Products

    Inc., South Williamsport, PA) as detailed elsewhere

    (Koo, Xiao, et al. 2010). S. mutans UA159 (ATCC

    700610), a cariogenic oral pathogen whose genome has

    been sequenced (Ajdic et al. 2002) was used in this

    study. The biolms were grown in ultra-ltered

    (10 kDaMW cut-off membrane; Prep/Scale, Millipore,

    MA) buffered tryptone-yeast extract broth (UFTYE;

    2.5% tryptone and 1.5% yeast extract with the addition

    of 4.35 g l1

    of potassium phosphate and 1 g l1

    ofMgSO47H2O, pH 7.0) with 1% sucrose at 37C and

    5% CO2. Briey,S. mutans in exponential growth phase

    was inoculated into 2.8 ml of UFTYE + 1% sucrose

    containing sHA discs placed vertically in a custom-made

    holder. Biolms were allowed to form on sHA discs

    without interruption for the rst 20 h. Subsequently, the

    biolms were treated twice with each of the test agents

    or vehicle control, at 10 am (22 h-old) and 4 pm (28 h-

    old), with an additional treatment the following morning

    (10 am; 46h-old). The biolms were exposed to the

    treatments for 60 s, dip-washed in sterile saline solution

    (0.89% w/v NaCl) to remove excess agents, and then

    transferred to fresh culture medium (Koo, Duarte, et al.2010). The biolm was analyzed after 44 h using confo-

    cal microscopy (Olympus FV 1000, Olympus, Tokyo,

    Japan) to examine the effects on the overall 3D architec-

    ture after receiving the initial topical treatments. The

    gene expression prole was determined 4 h after the last

    topical treatment at 46 h (Figure 1), to evaluate the

    impact of PACs on S. mutans within the accumulated

    biolms post-treatment. The time-points represent the

    most active period of the biolm development process in

    this model, and were selected based on recent studies on

    the dynamics of the S. mutans transcriptome during bio-

    lm development and in response to topically applied

    agents (Klein et al. 2010; Falsetta et al. 2012).

    Confocal laser scanning microscopy of biolms

    The overall effect of topical applications of the PACs

    fraction on the 3D architecture, and the amount of EPS

    and bacteria biomass within intact biolms was assessed

    using confocal uorescence imaging (Xiao et al. 2012).

    EPS was labeled via incorporation of the Alexa Fluor

    647 dextran conjugate (MW 10 kDa; absorbance/uores-

    cence emission maxima of 647/668nm), while cells of

    S. mutans were stained with SYTO 9 (485/498 nm)

    (Molecular Probes Inc., Eugene, OR) as detailed else-

    where (Xiao et al. 2012). Imaging was performed using

    an Olympus FV 1000 two-photon laser scanning micro-scope (Olympus, Tokyo, Japan) equipped with a 10

    (0.45 numerical aperture) water immersion objective

    lens. Each biolm was scanned at 5, randomly selected,

    positions on the microscope stage and the confocal

    image series were generated by optical sectioning at each

    of these positions. Three independent experiments were

    conducted. The step size of z-series scanning was 2 m.

    The confocal images were analyzed using software for

    simultaneous visualization and quantication of EPS and

    bacterial cells within intact biolms (Koo, Xiao, et al.

    2010; Xiao et al. 2012). Amira 5.4.1 software (Visage

    Imaging, San Diego, CA) was used to create 3D render-

    ings of each structural component (EPS and bacteria) tovisualize the architecture of the biolm. COMSTAT was

    used to calculate the biomass and average thickness of

    the treated biolms (Heydorn et al. 2000).

    Isolation and purication of RNA from the biolm

    RNA was extracted and puried using standard protocols

    optimized for biolms (Cury & Koo 2007). The RNA

    Figure 1. The experimental design for the treatment and analysis of biolms ofS. mutans.

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    integrity numbers of puried samples used for microarray

    and RT-qPCR were P9 as determined by microcapillary

    electrophoresis and Agilent 2100 Bioanalyzer (Agilent

    Technologies, Santa Clara, CA) (Schroeder et al. 2006).

    Puried RNA samples were stored in RNase-free water at

    80 C. The RNA used as a normalization reference for

    microarray analysis was isolated from planktonicS. mutans UA159 with the same method.

    Microarray experiments: cDNA synthesis, labeling, and

    microarray hybridization

    Whole genomic proling was conducted using S. mutans

    UA159 microarrays (version 3) provided by the J. Craig

    Venter Institute (JCVI). Details about the arrays are

    available at http://pfgrc.jcvi.org/index.php/microarray/array_

    description/Streptococcus_mutans/version3.html . The exper-

    imental RNAs from biolms and the reference RNA were

    used to generate cDNA according to the protocol provided

    by JCVI athttp://pfgrc.jcvi.org/index.php/microarray/pro-

    tocols.html. Puried experimental cDNAs were coupledwith indocarbocyanine (Cy3)-dUTP, while reference

    cDNA was coupled with indodicarbocyanine (Cy5)-dUTP

    (Amersham, GE Healthcare, Little Chalfont, UK). Hybrid-

    izations were carried out at 42 C for 17 h with a Maui

    hybridization system (Biomicro Systems, Salt Lake City,

    UT). The slides were then washed according to JCVI

    protocols and scanned using a GenePix 4000B scanner

    (Molecular Devices, Sunnyvale, CA) at 532 nm (Cy3

    channel) and 635 nm (Cy5 channel).

    Microarray data analysis

    After the slides were scanned, single-channel images

    were loaded into JCVI Spotnder software (http://www.tm4.org/spotnder.html) and overlaid. A spot grid was

    created according to JCVI specications and then manu-

    ally adjusted to t all spots within the grid. The intensity

    values of each spot were measured and saved into .mev

    les. Data were normalized using LOWESS and standard

    deviation regularization with default settings, followed by

    in-slide replicate analysis using the JCVI microarray data

    analysis software MIDAS (http://www.tm4.org/midas.

    html). Spots that were agged as having either low inten-

    sity values or low signal saturation were discarded auto-

    matically. The statistical analysis was carried out using

    BRB-ArrayTools (version 3.8.1; http://linus.nci.nih.gov/

    BRB-ArrayTools.html) with a cutoffp value of 0.001 for

    class prediction and of 0.001 and 0.01 for class compari-

    son. A total of 4 microarray slides pairs were selected by

    BRB for class comparison analysis. MDV (available from

    LANL Oralgenhttp://www.oralgen.lanl.gov/) was used to

    assign gene names and functional classes to identied

    genes, as described previously (Klein et al. 2010). Genes

    were then sorted in Microsoft Excel to identify those with

    an absolute fold-change P1.6 (up-regulation), or 60.8

    (down-regulation) compared to the vehicle control. The

    transcriptome data were organized into the following

    biological themes: EPS (genes involved in the production

    of the biolm matrix), biolm/adhesion (genes involved

    in the formation of the biolm that do not play a specic

    role in matrix production), glycolytic pathways (genes

    with known functions in sugar metabolism), stress (genes

    with known functions in the stress response, includingoxidative stress and acid tolerance response), regulators

    (genes with known regulatory functions), others (with

    known biological functions but which have an unknown

    role in the formation of a biolm/infection), and genes

    encoding hypothetical proteins (genes lacking an identi-

    ed function). Furthermore, the potency of the transcrip-

    tional change was accounted for by sorting genes

    according to the magnitude of their fold-change (treat-

    ment/vehicle). cDNA microarray data have been depos-

    ited in the NCBI Gene expression omnibus (GEO)

    database (http://www.ncbi.nlm.nih.gov/geo) under GEO

    accession number GSE40172.

    Reverse transcription quantitative PCR (RT-qPCR)

    RT-qPCR was performed to validate and verify further

    the expression of specic genes selected from microarray

    data analysis. cDNAs were synthesized from 1g of

    puried RNA using a BioRad iScript cDNA synthesis

    kit (Bio-Rad Laboratories, Inc., Hercules, CA). RNA

    samples without reverse transcriptase were included as a

    negative control. The resulting cDNA and negative con-

    trols were amplied by a MyiQ qPCR detection system

    with iQ SYBR Green supermix (Bio-Rad Laboratories,

    Inc., CA, USA) and specic primers (Table 1). When

    Taqman probes were available, cDNAs and controls were

    amplied using a Bio-Rad CFX96 system (Bio-RadLaboratories). The 16S rRNA primers/TaqMan probes

    were run separately, and primers/TaqMan probes for

    other specic targets were combined and used in a multi-

    plex setting. For reactions with only one TaqMan probe

    (used for target 16S rRNA), the iQ Supermix (BioRad)

    was used. For multiplex reactions (gtfB, gtfC, gtfD and

    fruA and, dexA and ftf), the iQ Multiplex Powermix

    (BioRad) was employed. Primer and TaqMan probes

    sequences can be found in Table 1. Standard curves were

    used to determine the relative number of cDNA mole-

    cules, which were normalized to the relative number of

    16S rRNA cDNA in each sample, as described previ-

    ously (Yin et al. 2001). 16S rRNA served as a reference

    gene (Klein et al. 2010). These values were used to

    determine the fold-change between each treated sample

    and the vehicle control. The MIQE guidelines (Bustin

    et al. 2009) were followed for quality control of the data

    generated and for data analysis.

    Glucan-mediated bacterial adherence

    The bacterial adherence assay was performed as described

    previously (Koo et al. 2006). The HA surfaces were

    632 G. Fenget al.

    http://pfgrc.jcvi.org/index.php/microarray/array_description/Streptococcus_mutans/version3.htmlhttp://pfgrc.jcvi.org/index.php/microarray/array_description/Streptococcus_mutans/version3.htmlhttp://pfgrc.jcvi.org/index.php/microarray/protocols.htmlhttp://pfgrc.jcvi.org/index.php/microarray/protocols.htmlhttp://www.tm4.org/spotfinder.htmlhttp://www.tm4.org/spotfinder.htmlhttp://www.tm4.org/spotfinder.htmlhttp://www.tm4.org/spotfinder.htmlhttp://www.tm4.org/midas.htmlhttp://www.tm4.org/midas.htmlhttp://linus.nci.nih.gov/BRB-ArrayTools.htmlhttp://linus.nci.nih.gov/BRB-ArrayTools.htmlhttp://www.oralgen.lanl.gov/http://www.ncbi.nlm.nih.gov/geohttp://www.ncbi.nlm.nih.gov/geohttp://www.oralgen.lanl.gov/http://linus.nci.nih.gov/BRB-ArrayTools.htmlhttp://linus.nci.nih.gov/BRB-ArrayTools.htmlhttp://www.tm4.org/midas.htmlhttp://www.tm4.org/midas.htmlhttp://www.tm4.org/spotfinder.htmlhttp://www.tm4.org/spotfinder.htmlhttp://pfgrc.jcvi.org/index.php/microarray/protocols.htmlhttp://pfgrc.jcvi.org/index.php/microarray/protocols.htmlhttp://pfgrc.jcvi.org/index.php/microarray/array_description/Streptococcus_mutans/version3.htmlhttp://pfgrc.jcvi.org/index.php/microarray/array_description/Streptococcus_mutans/version3.html
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    coated with claried human saliva (sHA) and glucans

    were formed in situ by surface-adsorbed GtfC in the pres-

    ence of 100 mM sucrose (Koo et al. 2006) for 4 h. This

    process ensures that sHA is completely coated with

    glucans (glucan-coated sHA) as determined by scanning

    electron and confocal uorescence microscopy. Cells of

    S. mutans (1109 cells ml1) were then treated with the

    aqueous extract of PAC or PAC molecules of DP 213,

    washed and incubated with glucan-coated sHA (Koo et al.

    2006). After incubation for 30 min, the beads were washed

    and the number of adherent bacteria was determined with

    scintillation counts (Schilling & Bowen 1992).

    Statistical analyses

    Exploratory analysis (EDA test) was performed to assess

    the normality of the data sets. For microarray analysis,

    pair-wise comparison was performed to test treatment vs

    vehicle control. Type I error of p < 0.05 for one-way

    analysis of variance was used to reject the null hypothe-

    sis for biolm structural quantitation, RT-qPCR, and

    adhesion assays. SAS version 9.2 (SAS Institute, Cary

    NC) was used for all analyses.

    Results and discussion

    This study isolated A-type PACs of various DP classes

    from a standardized single cranberry genotype, cultivar

    Stevens, which has a high content of avonoids

    (Vvedenskaya & Vorsa 2004). The Stevens variety has

    also been characterized genetically (Polashock & Vorsa

    2002; Fajardo et al. 2012) and the major avonoid

    classes synthesized during fruit maturation determined

    Table 1. Primers and TaqMan probes used for RT-qPCR.

    GenBank ID Gene Primer sequence (forward and reverse)TaqMan probe sequence and dual-labeledprobes (reporters and quenchers) References

    16S rRNA ACCAGAAAGGGACGGCTAAC CTAACGCAATAAGCACTCCGCCTGG Xiao et al. (2012)TAGCCTTTTACTCCAGACTTTCCTG 5 FAM/3 BHQ-1

    SMU.1004 gtfB AAACAACCGAAGCTGATAC ATTGGCTGCATTGCTATCATCA

    CAATTTCTTTTACATTGGGAAG 5 HEX/3 BHQ-1SMU.1005 gtfC CTCTGACTGCTACTGATACAAG AGCAACATCTCAACCAACCGCC

    CCGAAGTTGTTGTTGGTTTAAC 5 Cal Fluor Red 610/3 BHQ-2SMU.910 gtfD AGCACAAACTTCTGAAGAGC CCTGTGCTTCTTCTGCTTGCTT

    CAGCTTTTGCCTGTGTTAAAG 5 Quasar 670/3 BHQ-2SMU.2042c dexA TATTTTAGAGCAGGGCAATCG ACGCCAGTCATCCTCAACCGCA

    AACCTCCAATAGCAGCATAAC 5 Quasar 705/3 BHQ-2SMU.78 fruA AACAACTGCTGCTGATACTG TCTGGCTGCTGTCTTCTGTTCT

    CTGCGGTTTCTTGAGATGAC 5 FAM/3 BHQ-1SMU.2028c ftf CTGACATAACTACGCCAAAG CGCAATCTTACGAGCCTGTTCTGTT

    TGCTTAAATTAATACCAGCTTC 5 HEX/3 BHQ-1

    SMU.80 hrcA AATTAGGACTCTTAGAGAAGGC NA This studyAACATCCTGTTCGTCCAA

    SMU.270 rmpC TTGGCTTCTTCTTCAATA NA

    TAACCATCAAGGTAACTGSMU.148 adhE GCATCATTGGTGAAGATA NA

    GTTAGTTGTTGGTACGATSMU.2109 mepA CTAGTGAGTGGACATTAG NA

    CTAATAGGTGAGGCTTACSMU.671 citZ CAACGGTAAGTCTATTAGG NA

    TAATGGTCGGTATCTTGGSMU.1396 gbpC CTAAGTATGGCGATCATG NA

    ATATTGGTTGTCCTTAGCSMU.1933c sdcBB TCCTTGGATAGAATAGATAC NA

    AAGGCTGATAAGTATACCSMU.629 sodA ATGACGCACTTGAACCATAT NA

    CTGACGAATATCCGCTGG

    SMU.562 clpE GCGACTATTCATCTATATGC NA Kajfasz et al. (2009)

    GTCCATTTTCAGGATCTG

    SMU.940 patB CTTGTCTTTCATCGGTGTTCATAC NA Falsetta et al. (2012)GGTCGCTCGTTTGATTGTTATTAC

    Note: NA, not applicable. All oligonucleotides were designed using the Beacon designer program (Premier Biosoft, Palo Alto, CA), and were synthe-sized and supplied by Integrated DNA Technologies (Coralville, IA).

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    (Vvedenskaya & Vorsa 2004); enabling the timing of the

    fruit harvest to maximize the extraction and isolation of

    PACs. Such approaches eliminate the confounding

    genetic variation that result in the chemical and bioactiv-

    ity variation commonly associated with natural products

    research, while helping to identify precisely the bioactive

    molecules and the putative targets.

    Topical applications of PACs affect biolm

    accumulation and 3D architecture

    The impact of a chemically characterized and puried

    PACs-containing fraction on EPS-mediated biolm

    assembly was examined. The clinical conditions of typi-

    cal exposure of exogenously introduced therapeutic

    agents in the mouth were simulated by applying the

    extract topically twice daily for brief exposures (60s)

    after the initial formation of the biolm (22 h). The typi-

    cal architecture of the biolm prior to treatment (22 h) is

    shown in Figure S1. [Supplementary material is available

    via a multimedia link on the online article webpage.]The biomass and thickness of both the EPS (red) and

    adherent bacteria (green) in biolms treated with PACs

    were signicantly less than in vehicle-treated biolms

    (Table 2), which resulted in defective accumulation of

    the biolm and altered the 3D architecture (Figure 2).

    Confocal images revealed a marked (albeit not com-

    plete) impairment of EPS-matrix development (Figure 2),

    which contained approximately 3.5 times less EPS with

    reduced thickness vs vehicle-treated biolms (Table 2).

    The data agree well with effective inhibition of glucan

    synthesis by surface-adsorbed GtfB and GtfC by cran-

    berry PACs (Duarte et al. 2006). Such effects can inu-

    ence the pattern of bacterial binding and accumulation toa great extent. Glucans produced on the pellicle by sur-

    face-adsorbed GtfC promote the initial adhesion of bacte-

    ria while the polymers formed by GtfB bound to the

    bacterial surface helps further aggregation, forming cohe-

    sive microcolonies (Xiao et al. 2012). This sucrose-

    dependent mechanism is highly favorable for S. mutans

    as this bacterium expresses multiple glucan-binding

    proteins (Sato et al. 1997; Lynch et al. 2007).

    The uorescence images show that the formation and

    further accumulation of new microcolonies (green) were

    disrupted following treatment with PACs (vs vehicle

    control), probably as a result of a reduction in the

    synthesis of EPS in situ. The deletion of both gtfB and

    gtfC in S. mutans completely impaired the ability of the

    mutant strain to assemble microcolonies even in the

    presence of sucrose (Xiao et al. 2012). However, it is

    possible that bacterial adhesion to EPS may be impaired

    as large areas of EPS were devoid of any attached cellsor cell clusters (Figure 2).

    The development of microcolonies enmeshed in the

    EPS is critical for the expression of biolm virulence.

    These structures act as diffusion-limiting barriers facili-

    tating the creation of highly acidic microenvironments at

    the attachment surface (Xiao et al. 2012), which may

    promote demineralization of the adjacent tooth-enamel.

    The few sparsely distributed microcolonies remaining in

    the biolms treated with PACs appear to be larger (with

    a higher EPS to bacteria ratio) than those in the

    vehicle-treated biolms (and vs biolms pre-treated at

    22 h; Figure S1), suggesting that microcolony develop-

    ment was not completely inhibited. However, it is alsoapparent that there is much less EPS surrounding these

    microcolonies, particularly in the outer layers (Figure 2).

    Such biolm architecture, with large areas devoid of

    microcolonies, would be less capable of maintaining an

    acidic pH at the attachment surface (Xiao et al. 2012).

    Whether the remaining microcolonies can cause enamel

    demineralization awaits further evaluation.

    Previous studies have shown that extracts containing

    PACs have no effect on the growth and viability of

    S. mutans (Koo, Duarte, et al. 2010) and Candida

    albicans (Feldman et al. 2012). However, it is possible

    that PACs could affect the expression of EPS synthesiz-

    ing Gtfs or the EPS-mediated bacterial adhesion factors,which are critical for the assembly of microcolonies.

    Gene expression byS. mutans within biolms post

    treatment with PACs

    Microarrays and multiplex RT-qPCR were used to charac-

    terize how topical application of PACs inuences the S.

    mutans transcriptome within the biolm. RT-qPCR was

    necessary to assess the transcriptional proles of EPS-

    associated genes (gtfBCD, ftf, dexA, and fruA), as micro-

    arrays have low condence at detecting mRNA levels,

    particularly if genes are repressed (Klein et al. 2010). One

    Table 2. Biomass and average thickness values of bacterial cells and EPS in PACs-treated biolms.

    Treatment

    Biomass (m3 m2) Average thickness (m)

    Bacteria EPS Bacteria EPS

    Vehicle control 28.93 3.61a 68.18 7.92a 98.93 13.3a 101.2 10.53a

    PACs 4.31 2.68b 19.88 7.23b 5.89 3.98b 20.82 8.51b

    Note: Biolms were treated topically with vehicle control and PACs-containing fraction. Values labeled with a different letter in each column are statis-tically different (p < 0.0001,n = 3).

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    Figure 2. Representative 3D rendered images of biolms of S. mutans following topical treatment with the vehicle control (A), andwith the cranberry PACs-containing fraction (B). The EPS channel is in red, bacterial cells are in green. Scale bars = 100m.

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    hundred and nineteen genes whose expression was differ-

    entially regulated in response to PACs were detected. To

    evaluate the data generated from microarray and RT-qPCR

    analyses, genes were organized into categories relevant to

    the formation of biolms of S. mutans, tness and viru-

    lence expression (see Materials and methods).

    On balance there were far more repressed thaninduced genes (Figure 3), suggesting that upon exposure

    to cranberry PACs, genes associated with many cellular

    activities during biolm development were down-regu-

    lated rather than up-regulated. The expression levels of

    selected genes detected by microarray analysis were vali-

    dated by RT-qPCR (Table 3). The microarray data

    showed that a large number of genes affected by PACs

    have an unknown function related to the formation of

    biolm or expression of virulence. It is currently being

    investigated whether these genes have any signicant

    role in the development of biolms of S. mutans. For

    example, patB (SMU.940) expression was highly affected

    following treatment with PACs. Recently, a knockoutmutant of patB from S. mutans UA159 has been gener-

    ated; initial analysis suggests that the gene deletion does

    not cause a defect in growth, but that the formation of

    biolm is reduced in the mutant strain with reduced

    amounts of EPS (vs the parental strain) (Falsetta et al.

    2012). Although further characterization is needed, it

    appears that patB may be involved with EPS synthesis

    during the formation of a biolm. It is possible thatpatB

    may be induced to compensate for the lack of EPS in

    the biolms treated with PACs.

    PACs affects expression of sucrose-dependent adhesionfactors but not the expression of EPS-related enzymes

    The EPS (glucans) produced from sucrose by Gtfs, pres-

    ent on tooth pellicle and bacterial surfaces, act as bind-

    ing sites (Schilling & Bowen 1992) promoting specic

    and enhanced adhesion by S. mutans through membrane-

    associated glucan-binding proteins and other co-factors

    (Banas & Vickerman 2003). This study examined

    whether PACs disrupt the transcription of relevant genes

    associated with these sucrose-dependent processes.

    The data show that a major group of sucrose-depen-

    dent adhesion factors are repressed after treatment with

    PACs (Table 3). These factors include gbpC, rmpC,mepA and sdcBB, which play important roles in bacterial

    adherence and subsequent formation of biolms of

    S. mutans in the presence of sucrose. The gene gbpC

    encodes glucan-binding protein C which has been identi-

    Table 3. Selected genes from PACs-treated biolms revealed as being differentially expressed (vs vehicle control) by microarrayanalysis.

    GenBank ID Gene Functional category Microarray RT-qPCR

    SMU.1396 gbpC Biolm/adhesion 0.81 0.83

    SMU.270 rmpC Biolm/adhesion 0.68 0.64

    SMU.2109 mepA Biolm/adhesion 0.72 0.70

    SMU.1933c sdcBB Biolm/adhesion 0.74 0.69

    SMU.148 adhE Glycolytic pathway 0.7 0.72

    SMU.671 citZ Glycolytic pathway 0.67 0.75

    SMU.80 hrcA Stress (acid) 0.76 0.89SMU.629 sodA Stress (oxidative) 1.6 1.56

    SMU.562 clpE Stress (acid) 1.75 1.56

    SMU.940 patB Other 1.7 2.78

    Note: These genes were selected for RT-qPCR validation. Biolms were treated topically with vehicle control and PACs-containing fraction. Valuesmarked with an asterisk () are signicantly different from biolms treated with vehicle control (p < 0.05,n =3).

    Figure 3. Functional categories affected by treatment with PACs. Number of repressed (left panel) and induced (right panel) genesofS. mutans in biolms exposed to PACs-containing fraction (n = 4). Genes are grouped into specic functional categories (biologicalthemes) as listed in the center of the graph. Genes whose fold of change in expression was 60.8 orP1.6 (p < 0.05) are included.

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    ed as a critical contributor to the development of bio-

    lms of S. mutans and the maintenance of 3D biolm

    architecture (Sato et al. 1997; Lynch et al. 2007). MepA,

    rmpC, and sdcBB were identied as membrane-associ-

    ated sucrose-dependent adhesion factors in addition to

    the Gbp family (Tao & Tanzer 2002). Insertional inacti-

    vation of these genes resulted in a de

    ciency in bacterialadhesion in vitro and colonization of tooth surface

    in vivo in the presence of sucrose, despite normal Gtf

    production and activity. This is the rst report showing

    the molecular impact of cranberry PACs on the expres-

    sion of biolm-related adhesion factors by S. mutans.

    In contrast, this study did not nd signicant

    differences in the expression of genes associated with

    EPS synthesis (gtfBCD and ftf) and degradation (dexA

    and fruA) between the vehicle control and PACs treat-

    ments (Figure S2). Therefore, the overall reduction of

    EPS synthesis may be due primarily to inhibitory effects

    of the PACs directly on the enzymatic activity of GtfB

    and GtfC as reported by previous studies (Duarte et al.2006; Gregoire et al. 2007; Koo, Duarte, et al. 2010)

    and not the repression of transcription.

    The extracellular effects on glucan synthesis com-

    bined with transcriptional repression of sucrose-mediated

    adhesion provide a fundamental interpretation of previ-

    ous data showing that crude extracts of cranberry reduce

    bacterial adherence to glucan-coated apatitic surfaces

    and formation of biolms without antibacterial activity

    (Duarte et al. 2006; Koo et al. 2006; Gregoire et al.

    2007; Koo, Duarte, et al. 2010).

    PACs affects expression of other relevant genes

    associated with the virulence of biolmsAnother group of repressed genes were identied, that

    are linked with glycolysis and the acid stress response in

    S. mutans (Table 3). The expression of adhE and citZ

    was down-regulated by the PACs fraction. The genes

    ahdE and citZ encode alcohol-acetaldehyde dehydroge-

    nase and citrate synthase, which are important metabo-

    lism-related enzymes in the glycolytic pathways. AdhE

    catalyzes the reaction of converting acetyl-CoA to etha-

    nol and CoA (Kessler et al. 1992). The cit operon

    encodes proteins for the citrate pathway and for the syn-

    thesis of the glutamate in minimal medium where the

    organic nitrogen source is limited (Cvitkovitch et al.

    1997). The gene citZ was also found to be a stress-

    responsive gene to osmolarity (Chia et al. 2001). The

    gene hrcA also appears to be repressed after exposure to

    the PACs fraction (albeit it was not conrmed via

    RT-qPCR). HrcA is a transcriptional regulator of dnaK

    and groE, which encode important chaperones that play

    critical roles in helping S. mutans to cope with acidic

    stress (Jayaraman et al. 1997; Lemos et al. 2001, 2007).

    Conversely, clpEand sodAwere induced by treatment

    with the PACs. ClpE belongs to the Clp system which

    consists of proteases for degrading or chaperoning incor-

    rectly folded proteins under acidic conditions (Kajfasz

    et al. 2009). Gene sodA encodes superoxide dismutase

    which provides protection against oxidative stress (Nakay-

    ama 1992). The up-regulation of these genes may suggest

    mobilization of some of the stress response factors in

    order for the cells in the bio

    lms treated with PACs, whichare less protected by EPS, to cope with environmental

    stresses. Collectively, these transcriptional changes may

    explain why treatment with PACs reduced (albeit moder-

    ately) the acid production and acid tolerance of biolms of

    S. mutans(Duarte et al. 2006; Gregoire et al. 2007).

    Bioactivity of isolated cranberry PACs with varying DP

    The major disruptive effects caused by topical applica-

    tions of cranberry PACs fraction appear to be on the

    assembly of the EPS-matrix and EPS-mediated processes

    involved in the adhesion of S. mutans and the develop-

    ment of a biolm. Several sucrose-dependent adhesion

    factors were repressed following topical exposure toPACs. However, the cranberry PACs contained in the

    fraction are a mixture of molecules with variable DP.

    The PACs range in DP from 2 to 13 epicatechin units.

    Therefore, the individual bioactivity and the role of the

    DP on S. mutans binding to glucan-coated surfaces and

    on gene expression in biolms were assessed.

    Glucan-mediated bacterial adhesion

    The inuence of compounds of varying DP on bacterial

    binding to glucan-coated apatitic surfaces was investi-

    gated. Specic PAC oligomers with DP >8 were potent

    Figure 4. The adhesion of cells of S. mutans to a glucan-coated apatitic surface. Bacterial cells were treated withisolated PAC molecules of DP 213. The percentage binding ofbacteria was calculated relative to vehicle control treated cells(control= 100%). Values with 3 and 4 asterisks are signicantlydifferent from the control at a level ofp < 0.001 andp < 0.0001,respectively (n = 3). All the values among different DPs aresignicantly different from each other (p < 0.05), exceptbetween DP 89 and DP 1213 (p > 0.05).

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    inhibitors of the adhesion of S. mutans (as high as 85%

    inhibition, Figure 4). Generally, the bioactivity of PACs

    increase with higher numbers of epicatechin units in the

    molecule, but this relationship is not linear. There is an

    increased effectiveness from DP 2 to 4 and DP 5 to DP

    13. However, a clear distinction in bioactivity was

    observed for molecules of higher DP (DP >8) whencompared to smaller oligomers (DP 2 to DP4) (Figure 4).

    The inhibitory activity from highest to lowest effect (vs

    vehicle control) was DP 1011 (85.9%, percentage of

    inhibition), DP 89 (65.7%), DP 1213 (58.3%), DP 4

    (28.7%), and DP 3 (15.7%). None of the isolated PACs

    caused bacterial aggregation (as observed under phase-

    contrast microscope) and precipitation.

    The failure of DP 56 to inhibit adhesion is particu-

    larly intriguing, especially considering the overall trend

    of increased effectiveness with higher DP. Oligomers can

    exist in various conformations as to whether units are

    linked by C(4)C(8) vs C(4)C(6) bonds, and the loca-

    tion of the double A-type linkage. Additional studiesshall identify the linkages of DP 56 oligomers relative

    to those of DP 34 and DP >6 to determine potential

    differences in the structure/conformation of these DP

    classes, which could be linked with bioactivity.

    Gene expression

    The genes rmpC and hrcA were selected based on the

    microarray analysis, and relevance to sucrose-dependent

    biolm formation and aciduricity (Jayaraman et al. 1997;

    Tao & Tanzer 2002). The results from RT-qPCR analysis

    followed a similar trend of inhibition as observed with

    bacterial adhesion assays. There is trend of increasedeffectiveness between DP 2 and 4, and from DP 5 to 13

    (albeit mostly incremental) (Figure 5). For the PACs with

    a DP ranging from 2 to 4 epicatechin units, the reduction

    in the expression of rmpC and hrcA appeared to be

    correlated with increasing DP, with DP 4 being the most

    effective (Figure 5). The PACs with a DP 5 to 1011 dis-

    played similar activities. There was a signicant increase

    in repression following treatment with the DP 1213

    class. The expression prole of these two genes indicated

    that DP 4 and DP 1213 were the most effective cran-

    berry PACs in modulating the expression of selected

    genes ofS. mutans in biolms. It is also apparent that the

    specic isolated PACs are more active than the PACsfraction in disrupting the gene expression of S. mutans

    (particularly hrcA). The extract contains a mixture of

    active and less-active PACs, which may affect the overall

    bioactivity (vs individual compounds). In addition, the

    isolated PACs were devoid of any signicant effects on

    the viability of cells ofS. mutansin biolms (Figure S3).

    Collectively, the data show some evidence of the

    structure-activity relationship of cranberry PAC mole-

    cules. There is a trend of increased bioactivity with

    higher DP (number of epicatechin units), particularly in

    glucan-mediated bacterial adhesion. But this relationship

    appears to be present in two DP ranges: DP 2 to 4 and

    DP 5 to 13. In each range, DP 4 and DP 1213 (or DP

    1011 for adhesion assay) were the most effective mole-

    cules. PACs are well recognized for their interactions

    with proteins (Bennick 2002; Jobstl et al. 2004). Procy-

    anidin dimers linked through a C(4)C(8) interavanoid

    bond were reported to have greater tannin specic bind-

    ing activity than dimers with C(4)C(6) linkage (de

    Freitas & Mateus 2001). Besides having the A-type

    interavanoid linkage, cranberry trimers were all identi-

    ed to have the C(4)C(8) linkage (Foo et al. 2000b).

    Larger and more complex polyphenols (DP >8) interact

    more strongly and have greater protein-binding activity

    than smaller oligomers (Baxter et al. 1997).It is plausible that the oligomers of differing DP in

    this study exert their effect by more than one mecha-

    nism. The effect on adhesion could be an outcome of the

    effect on gene expression as well as the direct interaction

    of PACs with glucan-producing enzymes (Gtfs) and with

    glucan-binding proteins associated with the surface of

    S. mutans (Gbps). The DP 34 classes may exert most

    of the activity on gene expression, whereas DP >8

    involves direct proteinPAC interactions. It is possible

    Figure 5. The expression of S. mutans genes rmpC and hrcAin biolms treated topically with isolated PAC molecules of DP2 to 13. The values marked with 1, 2, 3, and 4 asterisks aresignicantly different from the control at a level of p < 0.05,p < 0.01, p < 0.001, and p < 0.0001, respectively. For rmpC, thevalue for DP 2 is signicantly different from all others at a

    level of p < 0.05. The values for DP 3, DP 4, DP 5

    6, DP 8

    9and DP 1011 are signicantly different from DP 2 and DP1213 (p < 0.05) but not from each other (p > 0.05). The valuefor DP 1213 is signicantly different from all others at a levelof p < 0.05. For hrcA, the value for DP 2 is signicantlydifferent from DP 3, DP 4, and DP 1213 (p < 0.05). The valuefor DP 3 is signicantly different from DP2 to DP 1213(p < 0.05). The value for DP 4 is signicantly different fromDP 2, DP 56, DP 89, DP 1011 and DP 1213 (p < 0.05).The values for DP 56, DP 89, and DP 1011 aresignicantly different from DP 2, DP 4, and DP 1213(p < 0.05) but not from DP 3 or from each other (p > 0.05).

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    that the reduced effect on adhesion with the DP 56

    class is that it has lesser impact on both of these mecha-

    nisms. The exact reason why these compounds have

    such a structure-activity relationship is unclear. It could

    be a result of the interplay between the DP with other

    factors, including the molecular structure itself (eg the

    position of A-type double linkage), the location of C(4)

    C(6)/C(4)(8) linkages and the size of the molecules,

    which may cause strong steric hindrance. How these fac-

    tors interact with each other and inuence bioactivity

    needs to be investigated in future studies.

    Overall, the mechanisms of action by which topical

    applications of fractions containing A-type PACs disrupt

    the accumulation of biolms are intriguing, as the expres-

    sion of several sucrose-dependent bacterial adhesion fac-

    tors were repressed while those associated with EPS-

    synthesis were unaffected. However, PACs can inhibit

    the activity of EPS-producing enzymes extracellularly

    (Duarte et al. 2006; Koo, Duarte, et al. 2010). Further-

    more, the expression of specic genes associated withacid stress and glycolysis was also repressed. Further

    analysis with puried compounds revealed that oligomers

    with DP 4 and DP 8 to 13 were the most active in dis-

    rupting EPS (glucan)-mediated bacterial adhesion and

    gene expression, while dimers and those with DP 56

    were generally inactive. The identication of the com-

    pounds of highest bioactivity could facilitate the effective

    design of anti-biolm therapies based on cranberry PACs,

    while providing the basis for additional structure-activity

    studies to further elucidate the mechanisms of action of

    these promising non-bacteriocidal biolm inhibitors.

    AcknowledgmentsThis work was supported by a NIH grant (5R01DE016139).The authors thank the Multiphoton Core Facility of theUniversity of Rochester Medical Center, for their technicalassistance. A.P.S. and N.V. are thankful to Sneha Shah andSusan Butterworth for their help in isolation of PACs.

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