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NEW 3D PRINTED BIOFILM MODELS FOR STUDYING
MULTISPECIES BACTERIAL COMMUNITIES
Mitch Sanders, PHD and Lindsay Poland, MS
Drug & Device Discovery Lab
Your Global Partner for Growth in Healthcare
2
INTRODUCTION
Unlike free-floating planktonic bacteria that are quite
resistant to antibiotics and antimicrobials (such as
chlorhexidine (CHG) and nano crystalline silver), biofilms
are polymicrobial bacterial communities that are more
resistant to mechanical shear, antibiotics, and
antimicrobials.
Biofilms consist of a close network of bacteria that are
tethered together with a slime-like matrix mostly
consisting of exopolysaccharides, proteins, and nucleic acids (referred to as the EPS). This
dense community of bacteria has multiple layers with the top layer shedding active
planktonic-like bacteria while the deeper layers are more senescent (no longer capable of
dividing but still alive, from Latin: senescere, meaning "to grow old”).
3D BIOFILM MODELS
The challenge with testing antimicrobials with planktonic bacteria is that most culture
models do not reflect the complex molecular determinants that mediate quorum
sensing, sporulation, and other adaptive phenotypes that are representative of a true
biofilm. Several labs have made great strides in creating biofilm models using
bioreactors and cartridge-like drip models. In our experience, these models fail to set up
robust biofilms that are as durable as those developed in vivo. Imagine just for a
moment the biofilms and plaque that build up on our teeth while sleeping overnight or
the biofilm that grows on your pet’s water dish in less than 24 hours when you forget to
change the dish. Another example is the biofilm in a chronic wound that is resistant to
most antibiotics and antimicrobials including bleach solution.
In 2013, Connell and colleagues at the University of Texas demonstrated that they could
use a 3D printer to study bacterial communities. We have used this approach at 3DL
with an experimental 3D printer to establish polymicrobial biofilms that are more robust
and reproducible that can be tested both in vitro and in vivo in a modified mouse model.
The 3D printed biofilm models are much more consistent in terms of the amount of
protein and bacteria dispensed that can provide for more uniform replicates that have
less standard deviation of error than those established from the other well-
characterized biofilm models described below.
KEY POINTS
 Every biofilm model
has it pitfalls and
strengths.
 Use at least two
models to validate
the efficacy of your
antimicrobial
therapy.
 3DL can provide
robust biofilm
models to accelerate
your pre-clinical
development.
Figure 1 Atomic Force Microscopy (AFM):
This is an image of a bacterial biofilm of
Staphylococcus aureus, Pseudomonas
aeruginosa, and Streptococcus pyogenes
Figure 2 This 3D Printer is used in
printing complex bacterial
communities. A separate white paper
will be submitted to Wound Repair and
Regeneration demonstrating the
validity of the model. We use a
Makerbot 2x replicator configured
with a high precision (NE 1000) syringe
pump configured with a thermo-kinetic
heat clamp to form bacterial biofilms.
3
CDC BIOREACTOR MODEL
The CDC bioreactor model is a well-established continuous flow model
for forming multi-colony biofilms that was developed by Donlan et al.,
(2004) in the CDC Biofilm Lab. This model is well suited for microscopy
because the coupon material can be punched out of the slides so that
several replicates can be obtained for each sample condition. A typical
reactor has multiple polypropylene coupon holders suspended from
the support lid. Liquid growth media/biocide/etc. is circulated through
the chamber, while the liquid is mixed by a magnetic stir bar to
generate mechanical shear. More recent studies indicate that
coupons made of polyetheretherketone (PEEK) material can set up
more durable bio-films (Williams et al., 2011).
STIRRED CELLS AND DRIP CELLS
Stirred and drip cells are other examples of continuous biofilm models that
were developed to account for the mechanical shear forces that drive the
formation of more stable biofilms developed at Montana State University,
(MSU, Bozeman, MT: Herigstad et al., 2001). The stirred cells have the
benefit of a well-established EPS matrix and biofilm while removing the
preponderance of planktonic bacteria. The Center for Biofilm Engineering
(CBE) at MSU continues to be one of the leading institutes in studying
biofilm models. CBE hosts a variety of symposia and workshops on
biofilms both for industry and academia alike.
SKIN EXPLANT MODELS
UV sterilized porcine skin was developed as a biofilm model by Greg Schultz’s lab demonstrating
that a saline rinse retained 109
bacteria but hydro debridement reduced the bio-burden to 104
CFU/g (Yang et al., 2013). The explant model has shown to be a useful model to set up biofilms
in under 7 days for P. aeruginosa but > 7 days for S. aureus. The porcine skin is a reasonable
surrogate for the mouse model described below given that the data is comparable to the mouse
model but less expensive. Critics of this porcine skin model
suggest that it does not reflect human skin and there is no
immune response. However, Schultz and colleagues have
demonstrated that this model can produce biofilms that
are quite robust and even resistant to treatment with high
concentrations of antimicrobials and even chlorine bleach.
Figure 3 CDC Type Bioreactor: This
continuous flow vessel has room for 6
channels that can be processed
simultaneously and can be used with a
plethora of material types, including
plastics, metals, and ceramics.
Figure 4 A stirred cell bioreactor
allows for the formation of robust
biofilms. This model system has
the ability to run multiple coupons
ille tempore. Other variations
include a rotating disk that uses
centrifugal shear forces to set up
robust biofilms.
Figure 5 Porcine skin is ideal for establishing host
pathogen binding studies, less variable than the in
vivid model.
4
Biofilm Models
Figure 6 Contact Mitchell.sanders@cmc-co.net for pricing inquiries on Biofilm Models.
MOUSE MODELS
Mouse biofilm models allow researchers to study how
biofilms can stall wound healing in normal and diabetic
animals (Zao et al., 2010). However, if you are not
studying wound healing and only studying biofilm
formation, the in vitro models are probably more than
sufficient because they have less variability than the
mouse model system. Because of the inherent variability of
the mouse model it takes 9 mice per group to get statistical
significance. Many of our colleagues feel that this mouse
model is less favorable than the in vitro models because of this variability. Our hypothesis is
that 3D printed biofilms will make the mouse model more robust and more applicable by
reducing the variability and therefore the number of replicates required for this model. We plan
to present these new results at the next Symposium on Advanced Wound Care (SAWC) in the
Fall of 2015.
SUMMARY
There are several models to study biofilms. However, each model has its own pitfalls and strengths. We
recommend that researchers use more than one model to validate their testing protocol with the
antibacterial or antimicrobial combination product. When you think about which lab you should use for
biofilm studies, consider a lab that has at least 20+ years of experience in studying biofilms and
determine if they are capable of generating timely, statistically significant, and high publication quality
data.
Figure 7 The balb/c mouse is commonly used
in biofilm studies. This model is
far less expensive than the partial thickness
porcine infection model or the rabbit urinary
catheter model (not shown), but is more
variable.
Biofilm Models Multispecies Advantages Pitfalls Measurments
CDC Bioreacter ++ Moderate Throughput STD Model/Cumbersome CFU Plating
Rotary Disk ++ Measures Shear Force Cumbersome CFU Plating
Drip Module ++ Robust Biofilms Old Model/Cumbersome CFU Plating/Fl Confocal Microscopy
New 3D Bioprinting +++ Versatile for in vitro & in vivo models New System CFU Plating/Fl Confocal Microscopy
Porcine Skin + Direct interaction with host protiens No Host Response, oversimplified CFU Plating/Fl Confocal Microscopy
Mouse Chronic Infection ++ Closest to Chronic Wound Infection Higher error requires 9 replicates CFU Plating
5
AUTHORS
Mitchell Sanders MS, PhD, is the Managing Director of the Drug and Device Discovery
Lab at CMC Consulting. Mitch has 30+ years of experience in studying bacterial biofilms
and chronic wound infections. With ECI Biotech, Mitchell has produced over 12 peer-
reviewed publications and 24 worldwide patents in medical device and in vitro
diagnostics. Mitchell is an expert in clinical and translational research and is a reviewer
for the Wound Healing Society, CIMIT, MassVentures, MIT, WPI, Tech Sandbox, Piranha
Pond, SBANE and the Venture Forum. Mitchell has an MS and PhD from WPI in
molecular biology and biomedical sciences with 2 Postdocs (biochemistry and pathogen
genetics) at the Whitehead Institute/MIT.
Lindsay Poland is a scientist at 3DL who has 10+ years of experience in studying clinical
microbiology and protein biochemistry. Lindsay is an expert in molecular biology and
protein biochemistry of chronic wounds. She has 14 years of experience with almost 11
of them being in the industry with Mitch Sanders at ECI Biotech (Worcester MA)
studying wound repair and regeneration and chronic wound infection.
6
REFERENCES
1. Larkö E, Persson A, Blom K. Effect of superabsorbent dressings in a 3D cellular tissue model of
Pseudomonas aeruginosa biofilm.
2. J Wound Care. 2015 May; 24(5):204-10. doi: 10.12968/jowc.2015.24.5.204.
3. Chang CB, Walking JN, Kim SH, Shum HC, Waits DA. Monodisperse Emulsion Drop Microenvironments for
Bacterial Biofilm Growth. Small. 2015 May 8. doi: 10.1002/smll.201403125. [Epub ahead of print]
PMID:25959709
4. Billings N, Birjiniuk A, Samad TS, Doyle PS, Ribbeck K. Material properties of biofilms-a review of methods
for understanding permeability and mechanics. Rep Prog Phys. 2015 Feb;78(3):036601. doi:
10.1088/0034-4885/78/3/036601. Epub 2015 Feb 26. PMID: 25719969
5. Connell JL, Kim J, Shear JB, Bard AJ, Whiteley M. Real-time monitoring of quorum sensing in 3D-
printed bacterial aggregates using scanning electrochemical microscopy. Proc Natl Acad Sci U S A. 2014
Dec 23;111(51):18255-60. doi: 10.1073/pnas.1421211111. Epub 2014 Dec 8. PMID:25489085
6. Connell JL, Ritschdorff ET, Whiteley M, Shear JB. 3D printing of microscopic bacterial communities. Proc
Natl Acad Sci U S A. 2013 Nov 12;110(46):18380-5. doi: 10.1073/pnas.1309729110. Epub 2013 Oct 7.
7. Tran PL, Hamood AN, de Souza A, Schultz G, Liesenfeld B, Mehta D, Reid TW. A study on the ability of
quaternary ammonium groups attached to a polyurethane foam wound dressing to inhibit bacterial
attachment and biofilm formation. Wound Repair Regen. 2015 Jan;23(1):74-81. doi: 10.1111/wrr.12244.
Epub 2015 Feb 13. PMID: 25469865
8. Yang Q, Phillips PL, Sampson EM, Progulske-Fox A, Jin S, Antonelli P,Schultz GS. Development of a novel ex
vivo porcine skin explant model for the assessment of mature bacterial biofilms. Wound Repair Regen.
2013 Sep-Oct;21(5):704-14. doi: 10.1111/wrr.12074. Epub 2013 Aug 8. PMID: 23927831.
9. Williams DL1, Woodbury KL, Haymond BS, Parker AE, Bloebaum RD. A modified CDC biofilm reactor to
produce mature biofilms on the surface of peek membranes for an in vivo animal model application. Curr
Microbiol. 2011 Jun;62(6):1657-63. doi: 10.1007/s00284-011-9908-2. Epub 2011 Mar 25.
10. Donlan RM, Piede JA, Heyes CD, Sanii L, Murga R, Edmonds P, et al.: Model system for growing and
quantifying Streptococcus pneumoniae biofilms in situ and in real time. Appl Environ Microbiol 2004,
70:4980-4988.
11. Zelver N, Hamilton M, Pitts B, Goeres D, Walker D, Sturman P, Heersink J. Measuring antimicrobial effects
on biofilm bacteria: From laboratory to field in R.J. Doyle, et al. (eds), Biofilms: Methods in Enzymology,
Academic Press, San Diego, CA, 1999, pp.608-628.
12. Herigstad B, Hamilton M, Heersink J. How to optimize the drop plate method for enumerating
bacteria. J Microbiol Meth, 2001; 44(2):121-129
13. Zhao G1, Hochwalt PC, Usui ML, Underwood RA, Singh PK, James GA, Stewart PS, Fleckman P, Olerud JE.
Delayed wound healing in diabetic (db/db) mice with Pseudomonas aeruginosa biofilm challenge: a model
for the study of chronic wounds. Wound Repair Regen. 2010 Sep-Oct;18(5):467-77. doi: 10.1111/j.1524-
475X.2010.00608.x. Epub 2010 Aug 19.
7
ABOUT CMC CONSULTING GROUP
The CMC Group is an international advisory firm providing integrated
transaction services, management and medical affairs consulting and
contract research to companies in the life science industries. This
integration provides clients a seamless interface between strategy and
implementation and incorporates a range of perspectives designed to
optimize engagement outcomes. With offices in the United States, Asia
and throughout the EU, the firm complements global industry knowledge
with rich local market insight.
LOCATIONS
Munich, Germany
Phone: +49 89 41614220
info@cmc-co.net
Boston, USA
Phone: +1 508 7209803
boston@cmc-co.net
Paris, France
Phone: +33 1 44549623
france@cmc-co.net
Amsterdam, Netherlands
Phone: +31 35 6940999
benelux@cmc-co.net
Milan, Italy
Phone: +39 0396260093
italy@cmc-co.net
Barcelona, Spain
Phone: +34 93 4067171
spain@cmc-co.net
Poznan, Poland
Phone: +48 61 66001509
polska@cmc-co.net
Penang, Malaysia
Phone: +60 4 2362566
asia-pacific@cmc-co.net
Shanghai, China
Phone: +86 21 61721632
asia-pacific@cmc-co.net
Your Global Partner for Growth in Healthcare
LEARN MORE
www.cmc-co.net

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New 3d printed biofilm models for studying multispecies bacterial communities

  • 1. © 2015 CMC Consulting Group. All Rights Reserved. NEW 3D PRINTED BIOFILM MODELS FOR STUDYING MULTISPECIES BACTERIAL COMMUNITIES Mitch Sanders, PHD and Lindsay Poland, MS Drug & Device Discovery Lab Your Global Partner for Growth in Healthcare
  • 2. 2 INTRODUCTION Unlike free-floating planktonic bacteria that are quite resistant to antibiotics and antimicrobials (such as chlorhexidine (CHG) and nano crystalline silver), biofilms are polymicrobial bacterial communities that are more resistant to mechanical shear, antibiotics, and antimicrobials. Biofilms consist of a close network of bacteria that are tethered together with a slime-like matrix mostly consisting of exopolysaccharides, proteins, and nucleic acids (referred to as the EPS). This dense community of bacteria has multiple layers with the top layer shedding active planktonic-like bacteria while the deeper layers are more senescent (no longer capable of dividing but still alive, from Latin: senescere, meaning "to grow old”). 3D BIOFILM MODELS The challenge with testing antimicrobials with planktonic bacteria is that most culture models do not reflect the complex molecular determinants that mediate quorum sensing, sporulation, and other adaptive phenotypes that are representative of a true biofilm. Several labs have made great strides in creating biofilm models using bioreactors and cartridge-like drip models. In our experience, these models fail to set up robust biofilms that are as durable as those developed in vivo. Imagine just for a moment the biofilms and plaque that build up on our teeth while sleeping overnight or the biofilm that grows on your pet’s water dish in less than 24 hours when you forget to change the dish. Another example is the biofilm in a chronic wound that is resistant to most antibiotics and antimicrobials including bleach solution. In 2013, Connell and colleagues at the University of Texas demonstrated that they could use a 3D printer to study bacterial communities. We have used this approach at 3DL with an experimental 3D printer to establish polymicrobial biofilms that are more robust and reproducible that can be tested both in vitro and in vivo in a modified mouse model. The 3D printed biofilm models are much more consistent in terms of the amount of protein and bacteria dispensed that can provide for more uniform replicates that have less standard deviation of error than those established from the other well- characterized biofilm models described below. KEY POINTS  Every biofilm model has it pitfalls and strengths.  Use at least two models to validate the efficacy of your antimicrobial therapy.  3DL can provide robust biofilm models to accelerate your pre-clinical development. Figure 1 Atomic Force Microscopy (AFM): This is an image of a bacterial biofilm of Staphylococcus aureus, Pseudomonas aeruginosa, and Streptococcus pyogenes Figure 2 This 3D Printer is used in printing complex bacterial communities. A separate white paper will be submitted to Wound Repair and Regeneration demonstrating the validity of the model. We use a Makerbot 2x replicator configured with a high precision (NE 1000) syringe pump configured with a thermo-kinetic heat clamp to form bacterial biofilms.
  • 3. 3 CDC BIOREACTOR MODEL The CDC bioreactor model is a well-established continuous flow model for forming multi-colony biofilms that was developed by Donlan et al., (2004) in the CDC Biofilm Lab. This model is well suited for microscopy because the coupon material can be punched out of the slides so that several replicates can be obtained for each sample condition. A typical reactor has multiple polypropylene coupon holders suspended from the support lid. Liquid growth media/biocide/etc. is circulated through the chamber, while the liquid is mixed by a magnetic stir bar to generate mechanical shear. More recent studies indicate that coupons made of polyetheretherketone (PEEK) material can set up more durable bio-films (Williams et al., 2011). STIRRED CELLS AND DRIP CELLS Stirred and drip cells are other examples of continuous biofilm models that were developed to account for the mechanical shear forces that drive the formation of more stable biofilms developed at Montana State University, (MSU, Bozeman, MT: Herigstad et al., 2001). The stirred cells have the benefit of a well-established EPS matrix and biofilm while removing the preponderance of planktonic bacteria. The Center for Biofilm Engineering (CBE) at MSU continues to be one of the leading institutes in studying biofilm models. CBE hosts a variety of symposia and workshops on biofilms both for industry and academia alike. SKIN EXPLANT MODELS UV sterilized porcine skin was developed as a biofilm model by Greg Schultz’s lab demonstrating that a saline rinse retained 109 bacteria but hydro debridement reduced the bio-burden to 104 CFU/g (Yang et al., 2013). The explant model has shown to be a useful model to set up biofilms in under 7 days for P. aeruginosa but > 7 days for S. aureus. The porcine skin is a reasonable surrogate for the mouse model described below given that the data is comparable to the mouse model but less expensive. Critics of this porcine skin model suggest that it does not reflect human skin and there is no immune response. However, Schultz and colleagues have demonstrated that this model can produce biofilms that are quite robust and even resistant to treatment with high concentrations of antimicrobials and even chlorine bleach. Figure 3 CDC Type Bioreactor: This continuous flow vessel has room for 6 channels that can be processed simultaneously and can be used with a plethora of material types, including plastics, metals, and ceramics. Figure 4 A stirred cell bioreactor allows for the formation of robust biofilms. This model system has the ability to run multiple coupons ille tempore. Other variations include a rotating disk that uses centrifugal shear forces to set up robust biofilms. Figure 5 Porcine skin is ideal for establishing host pathogen binding studies, less variable than the in vivid model.
  • 4. 4 Biofilm Models Figure 6 Contact Mitchell.sanders@cmc-co.net for pricing inquiries on Biofilm Models. MOUSE MODELS Mouse biofilm models allow researchers to study how biofilms can stall wound healing in normal and diabetic animals (Zao et al., 2010). However, if you are not studying wound healing and only studying biofilm formation, the in vitro models are probably more than sufficient because they have less variability than the mouse model system. Because of the inherent variability of the mouse model it takes 9 mice per group to get statistical significance. Many of our colleagues feel that this mouse model is less favorable than the in vitro models because of this variability. Our hypothesis is that 3D printed biofilms will make the mouse model more robust and more applicable by reducing the variability and therefore the number of replicates required for this model. We plan to present these new results at the next Symposium on Advanced Wound Care (SAWC) in the Fall of 2015. SUMMARY There are several models to study biofilms. However, each model has its own pitfalls and strengths. We recommend that researchers use more than one model to validate their testing protocol with the antibacterial or antimicrobial combination product. When you think about which lab you should use for biofilm studies, consider a lab that has at least 20+ years of experience in studying biofilms and determine if they are capable of generating timely, statistically significant, and high publication quality data. Figure 7 The balb/c mouse is commonly used in biofilm studies. This model is far less expensive than the partial thickness porcine infection model or the rabbit urinary catheter model (not shown), but is more variable. Biofilm Models Multispecies Advantages Pitfalls Measurments CDC Bioreacter ++ Moderate Throughput STD Model/Cumbersome CFU Plating Rotary Disk ++ Measures Shear Force Cumbersome CFU Plating Drip Module ++ Robust Biofilms Old Model/Cumbersome CFU Plating/Fl Confocal Microscopy New 3D Bioprinting +++ Versatile for in vitro & in vivo models New System CFU Plating/Fl Confocal Microscopy Porcine Skin + Direct interaction with host protiens No Host Response, oversimplified CFU Plating/Fl Confocal Microscopy Mouse Chronic Infection ++ Closest to Chronic Wound Infection Higher error requires 9 replicates CFU Plating
  • 5. 5 AUTHORS Mitchell Sanders MS, PhD, is the Managing Director of the Drug and Device Discovery Lab at CMC Consulting. Mitch has 30+ years of experience in studying bacterial biofilms and chronic wound infections. With ECI Biotech, Mitchell has produced over 12 peer- reviewed publications and 24 worldwide patents in medical device and in vitro diagnostics. Mitchell is an expert in clinical and translational research and is a reviewer for the Wound Healing Society, CIMIT, MassVentures, MIT, WPI, Tech Sandbox, Piranha Pond, SBANE and the Venture Forum. Mitchell has an MS and PhD from WPI in molecular biology and biomedical sciences with 2 Postdocs (biochemistry and pathogen genetics) at the Whitehead Institute/MIT. Lindsay Poland is a scientist at 3DL who has 10+ years of experience in studying clinical microbiology and protein biochemistry. Lindsay is an expert in molecular biology and protein biochemistry of chronic wounds. She has 14 years of experience with almost 11 of them being in the industry with Mitch Sanders at ECI Biotech (Worcester MA) studying wound repair and regeneration and chronic wound infection.
  • 6. 6 REFERENCES 1. Larkö E, Persson A, Blom K. Effect of superabsorbent dressings in a 3D cellular tissue model of Pseudomonas aeruginosa biofilm. 2. J Wound Care. 2015 May; 24(5):204-10. doi: 10.12968/jowc.2015.24.5.204. 3. Chang CB, Walking JN, Kim SH, Shum HC, Waits DA. Monodisperse Emulsion Drop Microenvironments for Bacterial Biofilm Growth. Small. 2015 May 8. doi: 10.1002/smll.201403125. [Epub ahead of print] PMID:25959709 4. Billings N, Birjiniuk A, Samad TS, Doyle PS, Ribbeck K. Material properties of biofilms-a review of methods for understanding permeability and mechanics. Rep Prog Phys. 2015 Feb;78(3):036601. doi: 10.1088/0034-4885/78/3/036601. Epub 2015 Feb 26. PMID: 25719969 5. Connell JL, Kim J, Shear JB, Bard AJ, Whiteley M. Real-time monitoring of quorum sensing in 3D- printed bacterial aggregates using scanning electrochemical microscopy. Proc Natl Acad Sci U S A. 2014 Dec 23;111(51):18255-60. doi: 10.1073/pnas.1421211111. Epub 2014 Dec 8. PMID:25489085 6. Connell JL, Ritschdorff ET, Whiteley M, Shear JB. 3D printing of microscopic bacterial communities. Proc Natl Acad Sci U S A. 2013 Nov 12;110(46):18380-5. doi: 10.1073/pnas.1309729110. Epub 2013 Oct 7. 7. Tran PL, Hamood AN, de Souza A, Schultz G, Liesenfeld B, Mehta D, Reid TW. A study on the ability of quaternary ammonium groups attached to a polyurethane foam wound dressing to inhibit bacterial attachment and biofilm formation. Wound Repair Regen. 2015 Jan;23(1):74-81. doi: 10.1111/wrr.12244. Epub 2015 Feb 13. PMID: 25469865 8. Yang Q, Phillips PL, Sampson EM, Progulske-Fox A, Jin S, Antonelli P,Schultz GS. Development of a novel ex vivo porcine skin explant model for the assessment of mature bacterial biofilms. Wound Repair Regen. 2013 Sep-Oct;21(5):704-14. doi: 10.1111/wrr.12074. Epub 2013 Aug 8. PMID: 23927831. 9. Williams DL1, Woodbury KL, Haymond BS, Parker AE, Bloebaum RD. A modified CDC biofilm reactor to produce mature biofilms on the surface of peek membranes for an in vivo animal model application. Curr Microbiol. 2011 Jun;62(6):1657-63. doi: 10.1007/s00284-011-9908-2. Epub 2011 Mar 25. 10. Donlan RM, Piede JA, Heyes CD, Sanii L, Murga R, Edmonds P, et al.: Model system for growing and quantifying Streptococcus pneumoniae biofilms in situ and in real time. Appl Environ Microbiol 2004, 70:4980-4988. 11. Zelver N, Hamilton M, Pitts B, Goeres D, Walker D, Sturman P, Heersink J. Measuring antimicrobial effects on biofilm bacteria: From laboratory to field in R.J. Doyle, et al. (eds), Biofilms: Methods in Enzymology, Academic Press, San Diego, CA, 1999, pp.608-628. 12. Herigstad B, Hamilton M, Heersink J. How to optimize the drop plate method for enumerating bacteria. J Microbiol Meth, 2001; 44(2):121-129 13. Zhao G1, Hochwalt PC, Usui ML, Underwood RA, Singh PK, James GA, Stewart PS, Fleckman P, Olerud JE. Delayed wound healing in diabetic (db/db) mice with Pseudomonas aeruginosa biofilm challenge: a model for the study of chronic wounds. Wound Repair Regen. 2010 Sep-Oct;18(5):467-77. doi: 10.1111/j.1524- 475X.2010.00608.x. Epub 2010 Aug 19.
  • 7. 7 ABOUT CMC CONSULTING GROUP The CMC Group is an international advisory firm providing integrated transaction services, management and medical affairs consulting and contract research to companies in the life science industries. This integration provides clients a seamless interface between strategy and implementation and incorporates a range of perspectives designed to optimize engagement outcomes. With offices in the United States, Asia and throughout the EU, the firm complements global industry knowledge with rich local market insight. LOCATIONS Munich, Germany Phone: +49 89 41614220 info@cmc-co.net Boston, USA Phone: +1 508 7209803 boston@cmc-co.net Paris, France Phone: +33 1 44549623 france@cmc-co.net Amsterdam, Netherlands Phone: +31 35 6940999 benelux@cmc-co.net Milan, Italy Phone: +39 0396260093 italy@cmc-co.net Barcelona, Spain Phone: +34 93 4067171 spain@cmc-co.net Poznan, Poland Phone: +48 61 66001509 polska@cmc-co.net Penang, Malaysia Phone: +60 4 2362566 asia-pacific@cmc-co.net Shanghai, China Phone: +86 21 61721632 asia-pacific@cmc-co.net Your Global Partner for Growth in Healthcare LEARN MORE www.cmc-co.net