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Gold nanoparticle/interferon
conjugates as directed drug
delivery mechanisms
Elizabeth Donoway
Pine Crest School
Miller School of Medicine, University of Miami
Background
• Pancreatic Cancer
• 5-year survival rate ranging from 14% to 1%
• Limited options for cancer treatment
• Low quality of life during treatment and tumorigenesis
• Current Pancreatic Cancer Treatments
• Surgery
• Whipple Procedure
• Chemotherapy
• Radiation Therapy
http://medicdaily.co/new-pancreatic-cancer-drug-trial-showing-promise/
Background
• Gold nanoparticles (GNPs)
• Excellent electrostatic properties
• Small size
• Physiologically compatible
• High binding affinity
• Interferons (IFNs)
• Three types of proteins released by host cells in response to
pathogens, such as viruses, bacteria, and cancer cells
• Are broken down easily if not stabilized
• Type I interferons IFN-α and IFN-β are present in humans
• Signal release of transcription factor p53 (suppresses tumors by
inducing cell apoptosis in mutated tumor cells)
• Cell-type-specific binding sites to existing cells in the body
• Only bind to cells with the IFN-α receptor
• Can only bind to and upregulate p53 in cancer cells because the
IFN-α receptor is a biomarker that is only present on cancer cells
• MIA PaCa-2 Cells
• Model cell line for pancreatic cancer
• Mesothelin overexpression
http://goo.gl/K232Lq
Interferon Induced Cell Apoptosis
Release of
interferon
Binding of interferon
to IFN-α/β receptor
Protein kinase R
(PKR) activation
Upregulation of p53
transcription factor
Activation of PP2A
tumor suppressor
Induced cell
apoptosis and
tumor suppression
Purpose and Hypothesis
• The goal of this research is to create a method of
treatment for pancreatic carcinomas that is more
accurate than current technologies, which targets,
as well as destroys, only malignant cancer cells but
does no harm to existing healthy pancreatic cells.
• By binding interferons IFN-α and IFN-β that induce
cell apoptosis solely in cancer cells to gold
nanoparticles, these stabilized novel drug delivery
mechanisms will be more easily localized to a single
amalgamation of cells and will initiate programmed
cell death in pancreatic carcinoma cells alone.
Materials & Methods
GNP/Interfero
n Conjugation
Introduction
of Treatment
Data
Analysis
Materials & Methods
• Gold nanoparticle formation
• Turkevich method
• Standard method of GNP synthesis
• Determination of Interferon Avidity
• Binding affinity of interferons to MIA PaCa-2 cells
• Interferons IFN-α and IFN-β bind to MIA PaCa-2 cells because they
have the IFN-α receptor on their surface
• Drug Vector Synthesis
• PEGylation of interferons IFN-α and IFN-βand binding with
biotinylated GNPs to create GNP/INF conjugates
• Binding molecules are attached to the interferons and GNPs to
facilitate conjugation
• Cell culture
• MIA PaCa cells cultured at 37.0° C in DMEM media
• Culture split after 48 hours
• Introduction of treatment
• Gold nanoparticle/interferon conjugates introduced directly to
MIA PaCa cell culture (100 mM)
• Controls
• MIA PaCa cells cultured without introduction of treatment
Data Collection Methods
• UV-Vis Spectrometry
• Confirm correct wavelength of GNPs
• Quantify size of particles
• Each wavelength measured corresponds to a certain size
of particle
• DLS Zetasizing
• Analyze zeta potential of GNP colloid
• Zeta potential is an arbitrary value that indicates the
stability of a particle
• Particles with higher zeta potentials do not biodegrade or
interact with physiological substrates
• Nuclear Staining via TUNEL Assay
• Measure cell apoptosis beginning 48 hours after
introduction of treatment and analyze with an optical
microscope to quantify apoptosis
• The TUNEL assay does not stain necrotic tissue; it only
quantifies cell apoptosis. This is integral in assuring that the
particles cause apoptosis and not total tissue death.
UV-Vis Spectrometry for GNPs
Above: UV-Vis Spectrometry of pure GNPs
(absorption vs. wavelength) **Sample E is a
control
Figure A: UV-Vis Spectrometry of biotinylated
GNPs (absorption vs. wavelength)
Figure B: UV-Vis Spectrometry of
GNP/Interferon conjugates
UV-Vis Spectrometry for GNPs
• Width of the peak indicates particle size
• Pure GNP Data Set:
• Small observed peak width and more specific
wavelength interval corresponds to particles with an initial
diameter of 2 nm
• Biotinylated GNP Data Set:
• Larger observed peak width and broader wavelength
interval than pure GNP data indicates that the biotin
binding molecules were successfully attached to the
GNPs
• GNP/Interferon Data Set:
• Largest observed peak width and broadest wavelength
interval of all data sets (pure GNPs and biotinylated
GNPs) indicates that the PEGylated interferon proteins
IFN-α and IFN-β were successfully conjugated to the
biotinylated gold nanoparticles. This peak size
corresponds to particles with a final diameter of 20 nm,
small enough that the particles will not impede biological
functions and processes
DLS Zetasizing
Sample Zeta Potential
A 69
B 68
C 72
D 68
Average of all samples 69.25
Sample Zeta Potential
A 62
B 64
C 67
D 68
Average of all
samples
65.25
Zeta potential
analysis of pure
gold nanoparticle
colloid
Zeta potential
analysis of
biotinylated gold
nanoparticle
colloid and
PEGylated
interferons IFN-α
and IFN-ß
DLS Zetasizing
• The zeta potential of a colloid indicates its stability and is
based on an arbitrary scale with a baseline 0, which
indicates zero stability of a colloid. Higher zeta potentials
denote more stable compounds.
• 0 to ±5 = Rapid coagulation or flocculation
• ±10 to ±30 = Incipient stability
• ±30 to ±40 = Moderate stability
• ±40 to ±60 = Good stability
• ±61 = Excellent stability
• The pure gold nanoparticle colloids had an average zeta
potential of 69.25. None of the samples had a zeta potential
of less than 68
• The GNP/Interferon conjugate colloids had an average zeta
potential of 65.25, signifying excellent stability after
conjugation. None of the samples had a zeta potential of
less than 62. Some of the stability of the particles was lost
after binding them with the interferons because the proteins
have a minute charge; however, this charge is insignificant
to the overall stability of the conjugates
Transfection of MIA PaCa-2 with
GNP/IFN Conjugates—TUNEL
Assay
Control Sample
No interferon protein
introduced to MIA PaCa-
2 cell culture.
Little to no cell apoptosis
observed in each culture
after 48 hours. All cultures
were stained using TUNEL.
Transfection with IFN-α
and IFN-β
Interferon proteins IFN-α
and IFN-β introduced to
MIA PaCa-2 cell culture.
Cell apoptosis
observed in every culture
transfected after 48
hours.
Transfection with
GNP/IFN-α and IFN-β
Conjugates
Gold nanoparticle/ IFN-α
and IFN-β protein conjugates
introduced to MIA PaCa-2
cell culture. Significant cell
apoptosis observed in every
culture transfected after 48
hours.
Transfection of MIA PaCa-2 with
GNP/IFN Conjugates—TUNEL
Assay
• Brown staining of cells indicates cell apoptosis
• Transfection of the MIA PaCa-2 cell culture with
interferons IFN-α and IFN-β causes cell apoptosis
within the culture; however, since the interferons are
broken down before binding with all of the cells,
apoptosis is less significant than when interferons are
stabilized with GNPs.
• Transfection of the MIA PaCa-2 cell culture with the
GNPs/interferon conjugates induces significant cell
apoptosis within the culture. Since the interferons
are stabilized with the gold nanoparticles, they are
not degraded before binding to the IFN-αreceptors
on the surface of the cells. This allows more time for
the interferons to bind to the IFN-α receptors and
initiate cell apoptosis by upregulating p53 before
the proteins are destroyed.
Results
• Determination of interferon avidity
• Interferons specific to MIA PaCa-2 cells
• Interferons will only bind to cancer cells (which express the IFN-α receptor
on their surfaces), leaving healthy, benign cells untouched and
untargeted by the conjugates because transcription factor p53 is not
upregulated in cells that are not mutated (healthy pancreatic tissue).
• Observation of wavelength shift
• ~535 λ ~580 λ
• Peak width increase indicates successful formation of GNP/IFN
conjugates.
• Determination of physiological suitability
• ~2 nm without interferons
• ~20 nm conjugated with interferons
• Conjugates remain below the size threshold for cellular suitability
• Size of particles does not impede necessary cellular or biological
functions. Size prevents bioaccumulation of particles, which can be
filtered out of the body via the kidneys
• Formation of highly stable colloid
• Zeta potential of ~65
• Particles will not biodegrade before reaching target site or interact with
physiological substrates.
• Induced Cell Apoptosis
• Stable interferon conjugates directed to cells cause programmed cell
death
Discussion and Application
• GNPs increase the stability of the interferon protein, allowing
it to reach the target site before being deconstructed by
the body
• Interferon-induced upregulation of p53
• Controlled cell-specific apoptosis
• Interferon presence within the body
• Easy disposal of particles
• Physiologically suitable
• Size, stability, binding affinity
• Easily filtered out of the blood by the kidneys
• Cancer treatment
• Pancreatic cancer
• Chemotherapy and Radiation Therapy
• Interact with biological substrates
• Issues with treatment localization
• New Cancer Therapies
• Interferons are easily localized, do not interact with physiological
substrates, and do not interrupt crucial biological processes, making
them interesting and novel options as cures for cancer, especially for
those who are not candidates for other treatments
Future Research
• Genetic analysis of treated MIA PaCa-2 cell culture
and untreated MIA PaCa-2 cell culture
• Compare the effects of the interferon protein on the
genetic code of pancreatic cancer cells
• Assessment of efficacy of GNP/interferon
conjugates compared to that of radiation and
chemotherapy
• Clinical study of biological effects of GNP/IFN drug
delivery mechanism on M. musculus
• Injection of drug vector into tumor site
• Analysis of tumor suppression and effects of GNP
conjugates on mouse physiology
• Additional experimentation of GNP/IFN drug
delivery mechanisms in differentiated cancer cell
lines (HeLa, MCF-7, a549)
Bibliography
1. Meurs et al. “Tumor suppressor function of the interferon-induced double- stranded RNA-
activated protein kinase.” Proc. Natl. Acad. Sci. 90 (1993): 232- 236
2. Sunkara et al. “Tumor suppression with a combination of alpha-difluouromethyl ornithine and
interferon” Science 219 (1983): 851-853
3. Liao et al. “Interferon-inducible protein 16: insight into the interaction with tumor suppressor
p53.” Structure 19 (2011): 418-429
4. Xie et al. “The tumor suppressor interferon regulatory factor 1 interferes with SP1 activation to
repress the human CDK2 promoter.” Journal of Biological Chemistry 278 (2003): 26589-26596
5. Clark et al. “Tumor suppressor IRF-1 mediates retinoid and interferon anticancer signaling to
death ligand TRAIL” EMBO Journal 23 (2004): 3051- 3060
6. Takaoka et al. “Integration of interferon-α/β signalling to p53 responses in tumour suppression
and antiviral defence.” Nature 424 (2003) 516-523
7. Lee et al. “Epigenetic disruption of interferon-γ response through silencing the tumor
suppressor interferon regulatory factor 8 in nasopharyngeal, esophageal and multiple other
carcinomas.” Oncogene 27 (2004): 5267-5276
8. Nakamura et al. “Inhibition of p53 tumor suppressor by
viral interferon regulatory factor.” Journal of Virology 75.16 (2001): 7572-7582
9. Bouker et al. “Interferon regulatory factor-1 (IRF-1) exhibits tumor suppressor activities in breast
cancer associated with caspase activation and induction of apoptosis.” Carcinogenesis 26.9
(2001):1527-1535
10. Guzman et al. “Expression of tumor-suppressor genes interferon regulatory factor 1 and
death-associated protein kinase in primitive acute myelogenous leukemia cells.” Journal of
the American Society of Hemotology 97.7 (2001): 2177-2179
11. Street et al. “Suppression of lymphoma and epithelial malignancies effected by interferon γ.”
J Exp. Med 196.1 (2002) 129-134

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Sigma xi presentation

  • 1. Gold nanoparticle/interferon conjugates as directed drug delivery mechanisms Elizabeth Donoway Pine Crest School Miller School of Medicine, University of Miami
  • 2. Background • Pancreatic Cancer • 5-year survival rate ranging from 14% to 1% • Limited options for cancer treatment • Low quality of life during treatment and tumorigenesis • Current Pancreatic Cancer Treatments • Surgery • Whipple Procedure • Chemotherapy • Radiation Therapy http://medicdaily.co/new-pancreatic-cancer-drug-trial-showing-promise/
  • 3. Background • Gold nanoparticles (GNPs) • Excellent electrostatic properties • Small size • Physiologically compatible • High binding affinity • Interferons (IFNs) • Three types of proteins released by host cells in response to pathogens, such as viruses, bacteria, and cancer cells • Are broken down easily if not stabilized • Type I interferons IFN-α and IFN-β are present in humans • Signal release of transcription factor p53 (suppresses tumors by inducing cell apoptosis in mutated tumor cells) • Cell-type-specific binding sites to existing cells in the body • Only bind to cells with the IFN-α receptor • Can only bind to and upregulate p53 in cancer cells because the IFN-α receptor is a biomarker that is only present on cancer cells • MIA PaCa-2 Cells • Model cell line for pancreatic cancer • Mesothelin overexpression http://goo.gl/K232Lq
  • 4. Interferon Induced Cell Apoptosis Release of interferon Binding of interferon to IFN-α/β receptor Protein kinase R (PKR) activation Upregulation of p53 transcription factor Activation of PP2A tumor suppressor Induced cell apoptosis and tumor suppression
  • 5. Purpose and Hypothesis • The goal of this research is to create a method of treatment for pancreatic carcinomas that is more accurate than current technologies, which targets, as well as destroys, only malignant cancer cells but does no harm to existing healthy pancreatic cells. • By binding interferons IFN-α and IFN-β that induce cell apoptosis solely in cancer cells to gold nanoparticles, these stabilized novel drug delivery mechanisms will be more easily localized to a single amalgamation of cells and will initiate programmed cell death in pancreatic carcinoma cells alone.
  • 6. Materials & Methods GNP/Interfero n Conjugation Introduction of Treatment Data Analysis
  • 7. Materials & Methods • Gold nanoparticle formation • Turkevich method • Standard method of GNP synthesis • Determination of Interferon Avidity • Binding affinity of interferons to MIA PaCa-2 cells • Interferons IFN-α and IFN-β bind to MIA PaCa-2 cells because they have the IFN-α receptor on their surface • Drug Vector Synthesis • PEGylation of interferons IFN-α and IFN-βand binding with biotinylated GNPs to create GNP/INF conjugates • Binding molecules are attached to the interferons and GNPs to facilitate conjugation • Cell culture • MIA PaCa cells cultured at 37.0° C in DMEM media • Culture split after 48 hours • Introduction of treatment • Gold nanoparticle/interferon conjugates introduced directly to MIA PaCa cell culture (100 mM) • Controls • MIA PaCa cells cultured without introduction of treatment
  • 8. Data Collection Methods • UV-Vis Spectrometry • Confirm correct wavelength of GNPs • Quantify size of particles • Each wavelength measured corresponds to a certain size of particle • DLS Zetasizing • Analyze zeta potential of GNP colloid • Zeta potential is an arbitrary value that indicates the stability of a particle • Particles with higher zeta potentials do not biodegrade or interact with physiological substrates • Nuclear Staining via TUNEL Assay • Measure cell apoptosis beginning 48 hours after introduction of treatment and analyze with an optical microscope to quantify apoptosis • The TUNEL assay does not stain necrotic tissue; it only quantifies cell apoptosis. This is integral in assuring that the particles cause apoptosis and not total tissue death.
  • 9. UV-Vis Spectrometry for GNPs Above: UV-Vis Spectrometry of pure GNPs (absorption vs. wavelength) **Sample E is a control Figure A: UV-Vis Spectrometry of biotinylated GNPs (absorption vs. wavelength) Figure B: UV-Vis Spectrometry of GNP/Interferon conjugates
  • 10. UV-Vis Spectrometry for GNPs • Width of the peak indicates particle size • Pure GNP Data Set: • Small observed peak width and more specific wavelength interval corresponds to particles with an initial diameter of 2 nm • Biotinylated GNP Data Set: • Larger observed peak width and broader wavelength interval than pure GNP data indicates that the biotin binding molecules were successfully attached to the GNPs • GNP/Interferon Data Set: • Largest observed peak width and broadest wavelength interval of all data sets (pure GNPs and biotinylated GNPs) indicates that the PEGylated interferon proteins IFN-α and IFN-β were successfully conjugated to the biotinylated gold nanoparticles. This peak size corresponds to particles with a final diameter of 20 nm, small enough that the particles will not impede biological functions and processes
  • 11. DLS Zetasizing Sample Zeta Potential A 69 B 68 C 72 D 68 Average of all samples 69.25 Sample Zeta Potential A 62 B 64 C 67 D 68 Average of all samples 65.25 Zeta potential analysis of pure gold nanoparticle colloid Zeta potential analysis of biotinylated gold nanoparticle colloid and PEGylated interferons IFN-α and IFN-ß
  • 12. DLS Zetasizing • The zeta potential of a colloid indicates its stability and is based on an arbitrary scale with a baseline 0, which indicates zero stability of a colloid. Higher zeta potentials denote more stable compounds. • 0 to ±5 = Rapid coagulation or flocculation • ±10 to ±30 = Incipient stability • ±30 to ±40 = Moderate stability • ±40 to ±60 = Good stability • ±61 = Excellent stability • The pure gold nanoparticle colloids had an average zeta potential of 69.25. None of the samples had a zeta potential of less than 68 • The GNP/Interferon conjugate colloids had an average zeta potential of 65.25, signifying excellent stability after conjugation. None of the samples had a zeta potential of less than 62. Some of the stability of the particles was lost after binding them with the interferons because the proteins have a minute charge; however, this charge is insignificant to the overall stability of the conjugates
  • 13. Transfection of MIA PaCa-2 with GNP/IFN Conjugates—TUNEL Assay Control Sample No interferon protein introduced to MIA PaCa- 2 cell culture. Little to no cell apoptosis observed in each culture after 48 hours. All cultures were stained using TUNEL. Transfection with IFN-α and IFN-β Interferon proteins IFN-α and IFN-β introduced to MIA PaCa-2 cell culture. Cell apoptosis observed in every culture transfected after 48 hours. Transfection with GNP/IFN-α and IFN-β Conjugates Gold nanoparticle/ IFN-α and IFN-β protein conjugates introduced to MIA PaCa-2 cell culture. Significant cell apoptosis observed in every culture transfected after 48 hours.
  • 14. Transfection of MIA PaCa-2 with GNP/IFN Conjugates—TUNEL Assay • Brown staining of cells indicates cell apoptosis • Transfection of the MIA PaCa-2 cell culture with interferons IFN-α and IFN-β causes cell apoptosis within the culture; however, since the interferons are broken down before binding with all of the cells, apoptosis is less significant than when interferons are stabilized with GNPs. • Transfection of the MIA PaCa-2 cell culture with the GNPs/interferon conjugates induces significant cell apoptosis within the culture. Since the interferons are stabilized with the gold nanoparticles, they are not degraded before binding to the IFN-αreceptors on the surface of the cells. This allows more time for the interferons to bind to the IFN-α receptors and initiate cell apoptosis by upregulating p53 before the proteins are destroyed.
  • 15. Results • Determination of interferon avidity • Interferons specific to MIA PaCa-2 cells • Interferons will only bind to cancer cells (which express the IFN-α receptor on their surfaces), leaving healthy, benign cells untouched and untargeted by the conjugates because transcription factor p53 is not upregulated in cells that are not mutated (healthy pancreatic tissue). • Observation of wavelength shift • ~535 λ ~580 λ • Peak width increase indicates successful formation of GNP/IFN conjugates. • Determination of physiological suitability • ~2 nm without interferons • ~20 nm conjugated with interferons • Conjugates remain below the size threshold for cellular suitability • Size of particles does not impede necessary cellular or biological functions. Size prevents bioaccumulation of particles, which can be filtered out of the body via the kidneys • Formation of highly stable colloid • Zeta potential of ~65 • Particles will not biodegrade before reaching target site or interact with physiological substrates. • Induced Cell Apoptosis • Stable interferon conjugates directed to cells cause programmed cell death
  • 16. Discussion and Application • GNPs increase the stability of the interferon protein, allowing it to reach the target site before being deconstructed by the body • Interferon-induced upregulation of p53 • Controlled cell-specific apoptosis • Interferon presence within the body • Easy disposal of particles • Physiologically suitable • Size, stability, binding affinity • Easily filtered out of the blood by the kidneys • Cancer treatment • Pancreatic cancer • Chemotherapy and Radiation Therapy • Interact with biological substrates • Issues with treatment localization • New Cancer Therapies • Interferons are easily localized, do not interact with physiological substrates, and do not interrupt crucial biological processes, making them interesting and novel options as cures for cancer, especially for those who are not candidates for other treatments
  • 17. Future Research • Genetic analysis of treated MIA PaCa-2 cell culture and untreated MIA PaCa-2 cell culture • Compare the effects of the interferon protein on the genetic code of pancreatic cancer cells • Assessment of efficacy of GNP/interferon conjugates compared to that of radiation and chemotherapy • Clinical study of biological effects of GNP/IFN drug delivery mechanism on M. musculus • Injection of drug vector into tumor site • Analysis of tumor suppression and effects of GNP conjugates on mouse physiology • Additional experimentation of GNP/IFN drug delivery mechanisms in differentiated cancer cell lines (HeLa, MCF-7, a549)
  • 18. Bibliography 1. Meurs et al. “Tumor suppressor function of the interferon-induced double- stranded RNA- activated protein kinase.” Proc. Natl. Acad. Sci. 90 (1993): 232- 236 2. Sunkara et al. “Tumor suppression with a combination of alpha-difluouromethyl ornithine and interferon” Science 219 (1983): 851-853 3. Liao et al. “Interferon-inducible protein 16: insight into the interaction with tumor suppressor p53.” Structure 19 (2011): 418-429 4. Xie et al. “The tumor suppressor interferon regulatory factor 1 interferes with SP1 activation to repress the human CDK2 promoter.” Journal of Biological Chemistry 278 (2003): 26589-26596 5. Clark et al. “Tumor suppressor IRF-1 mediates retinoid and interferon anticancer signaling to death ligand TRAIL” EMBO Journal 23 (2004): 3051- 3060 6. Takaoka et al. “Integration of interferon-α/β signalling to p53 responses in tumour suppression and antiviral defence.” Nature 424 (2003) 516-523 7. Lee et al. “Epigenetic disruption of interferon-γ response through silencing the tumor suppressor interferon regulatory factor 8 in nasopharyngeal, esophageal and multiple other carcinomas.” Oncogene 27 (2004): 5267-5276 8. Nakamura et al. “Inhibition of p53 tumor suppressor by viral interferon regulatory factor.” Journal of Virology 75.16 (2001): 7572-7582 9. Bouker et al. “Interferon regulatory factor-1 (IRF-1) exhibits tumor suppressor activities in breast cancer associated with caspase activation and induction of apoptosis.” Carcinogenesis 26.9 (2001):1527-1535 10. Guzman et al. “Expression of tumor-suppressor genes interferon regulatory factor 1 and death-associated protein kinase in primitive acute myelogenous leukemia cells.” Journal of the American Society of Hemotology 97.7 (2001): 2177-2179 11. Street et al. “Suppression of lymphoma and epithelial malignancies effected by interferon γ.” J Exp. Med 196.1 (2002) 129-134