THE IMPACT OF PROCESSING ON THE
BIOPHYSICAL PROPERTIES OF SYNTHETIC
DNA COMPLEXES FOR GENE DELIVERY
A thesis submitted for the degree of Doctor of Philosophy
by
Claire Nicole Mount
DEPARTMENT OF BIOCHEMICAL ENGINEERING
UNIVERSITY COLLEGE LONDON
January 2003
ProQuest Number: U643257
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A bstract
Abstract
Research is progressing fast to find safe and effective methods of delivering genes as
therapeutic agents. A technical barrier that remains relates to the need for large-scale
manufacturing process strategies and process optimisation. The present investigation
provides a means of assessing the impact of the formulation process and material
factors on the physical properties of plasmid-DNA vector. Response surface
methodology (RSM) is combined with experimental techniques to provide new insight
into scaleable processing of these systems.
To assess the influence of process and material factors on the physical stability of gene
complexes two techniques, photon correlation spectrophotometry (PCS) and laser
Doppler velocimetry (LDV) were used to characterise DNA complexes. A model
formulation was used consisting of ctDNA or pDNA MB 113 condensed by poly-L-
lysine (SOKDa) and a lipopolypeptide formulation, LID, prepared through
complexation of DNA with cationic lipid and peptide components.
Preliminary experiments showed several individual factors have important effects on
the physical stability of synthetic delivery systems; including the mean size and charge
of plasmid DNA molecules condensed by cationic agents. These factors include
physico-chemical properties of the buffer such as the pH and ionic strength as well as
conditions used to prepare the complexes, for example the method and intensity of
mixing the components of the complex. Using RSM to analyse experimental data it is
shown that the impact of these factors and the effects of their interactions on the
physical properties of the complexes are time-dependent. More specifically, for
plasmid DNA condensed by poly-L-lysine or cationic lipids, interactions between ionic
strength, pH and DNA concentration play a critical role. W hether poly-L-lysine should
be used as a condensing agent in the final delivery system or the LID formulation can
become clinically and commercially viable remains to be demonstrated. However, the
use of RSM combined with the scaleable experimental approach described here
represent a rapid and cost effect process tool that may be applied to any delivery
Table o f Contents
Table of Contents
Abstract 3
Table of Contents 4
List of Fleures 7
List of Tables 12
Acknowledeements 13
Chanter 1. Aims and Obiectives 14
1.1 Vector Production 14
1.2 Physical Stability 16
1.3 Experimental Design 18
Chanter 2. Literature Survey - Gene Delivery: A Historical Persnective 20
2.1 Gene Delivery 20
2.1.1 Gene Therapy 21
2.1.2 Gene Vaccines 23
2.2 Types of Treatment 27
2.3 Socio-economic Issues 28
2.4 Genetic Material and Disease 30
2.4.1 Cancer 31
2.4.2 Cystic Fibrosis 33
2.5 Plasmid DNA Properties 35
2.6 Administration and Delivery to Target Cells 37
2.6.1 Naked DNA 38
2.6.2 Gene Vectors 39
2.6.3 Therapeutic Action of Non-viral Vectors 40
2.6.4 Viral Vectors 44
2.6.4.1 Retrovirus 45
2.6.4.2 Herpes Simplex Virus 46
2.6.4.3 Adenovirus 47
2.6.4.4 Adeno-Associated Virus 48
2.6.5 Non-viral Vectors 48
2.6.5.1 Polyplexes 51
2.6.5.2 Lipoplexes 54
2.6.5.2.1 Cationic Liposome/DNA Complexes 56
2.6.5.2.2 Anionic and Neutral DNA Complexes 59
2.6.5.3 Lipopolyplexes 60
2.6.6 Targeted Vectors 61
2.6.7 Other Gene Delivery Systems 68
2.7 Non-viral Formulation Limitations 70
Table o f Contents
2.8 Chapter 1. Summary 73
Chapter 3. Materials and Methods____________________________________________________ 74
3.1 Formulation 74
3.2 DNA Preparation 74
3.3 Polylysine Preparation 75
3.4 Integrin Peptide Preparation 75
3.5 Lipofectin Preparation 76
3.6 Charge Ratio 77
3.7 Controlled Mixing 77
3.8 Particle Size and Zeta Potential 79
3.9 Variables Studied 81
3.9.1 Mixing Flow Rate 81
3.9.2 Method of Collection 81
3.9.3 Tubing Characteristics 82
3.9.4 Degree of Mixing 83
3.9.5 Maturation Time 83
3.9.6 Buffer 83
3.9.7 DNA Concentration 83
3.9.8 Statistical Studies 84
3.9.8.1 Six-Factor Statistical Study of a Polyplex Formulation 86
3.9.8.2 Seven-Factor Statistical Study of a Polyplex Formulation 87
3.9.8.3 Seven-Factor Statistical Study of a Lipopolyplex Formulation 88
Chapter 4. Formulation Optimisation; Results and Discussion____________________________89
4.1 DNA Concentration 92
4.2 DNA Concentration, Buffer Conditions and Maturation 97
4.3 Storage Temperature 103
4.4 Chapter 4. Summary 108
Chapter 5. Manufacture of Non-viral DNA Complexes; Results and Discussion_____________109
5.1 Method of Collection 111
5.2 Mixing Flow Rate and Tube Internal Diameter 113
5.3 Mixing Tube Length, Mixing Flow Rate and Tube Internal Diameter 121
5.4 Chapter 5. Summary 129
Chapter 6. Statistical Study of Process Variables: Results and Discussion__________________ 131
6.1 Statistical Investigation of Six Processing and Formulation Factors 136
6.1.1 Screening Experiment: Six Factors 137
6.1.2 Response Surface Design 153
6.2 Statistical Investigation of Seven Processing and Formulation Factors 177
6.2.1 Screening Experiment : S even Factors 178
Table o f Contents
6.3 Chapter 6. Summary 210
Chapter 7. Statistical Study of a Lipopolypeptide Formulation; Results and Discussion______213
7.1 Statistical Investigation of Seven Processing and Formulation Factors 217
7.1.1 Screening Experiment: Seven Factors 218
7.1.2 Response Surface Design 227
7.2 Chapter 7. Summary 242
Conclusions and Recommendations___________________________________________________ 244
Appendices________________________________________________________________________ 249
Appendix 1. Calculation of Charge Ratio 250
Appendix 2. PCS Theory 252
Appendix 3. Controlled Mixing 255
Appendix 4. Measurement of Size and Charge 256
Appendix 5. Calculations for Scale Up 257
Appendix 6. Calculation of Reynolds Numbers 258
Appendix 7. Calculation of Residence Time 260
Appendix 8. Hydrodynamic Length 262
Appendix 9. Factorial Design Methodology 263
9.1 General Sequence for the Design of a Factorial Experiment 263
9.2 General Sequence for the Analysis of a Factorial Experiment 266
Appendix 10. Factorial Experiments: Design Matrices 268
Appendix ll.G lossary 273
Publications 274
References 295
List o f Figures
List of Figures
Figure 1.1 Production of Plasmid DNA... 19
Figure 2.1 Gene Delivery...28
Figure 2.2 DNA Conformation...36
Figure 2.3 Non-viral DNA Delivery... 43
Figure 2.4 Synthetic Gene Delivery Systems... 50
Figure 2.5 Poly-L-lysine Condensed DNA...53
Figure 2.6 Formation of Lipopolypeptide Particles... 64
Figure 2.7 Antibody Fragments...65
Figure 2.8 Virosome Construction... 67
Figure 3.1 Poly-L-lysine Hydrobromide Chemical Structure...75
Figure 3.2 Hydrophilic Amino Acid Spacer... 76
Figure 3.3 DOTMA Chemical Structure... 76
Figure 3.4 DOPE Chemical Structure...76
Figure 3.5 Twin Syringe Pump Mixing Device... 78
Figure 3.6 Zetasizer 3000... 79
Figure 3.7 Variation in the Method of Collection... 81
Figure 4.1 A typical size distribution of stable DNA complexes... 92
Figure 4.2 Average particle size of ctDNA/PLL 29300 complexes as a function of DNA concentration...94
Figure 4.3 Size profile of ctDNA/PLL 29300 complexes as a function of DNA concentration 95 Figure 4.4 Size profile of pDNA MB 113/PLL 29300 complexes prepared in 20mM HEPES, as a function of pDNA concentration... 98
Figure 4.5 Size profile of pDNA MB 113/PLL 29300 complexes prepared in ultra-pure water, as a function of pDNA concentration...99
Figure 4.6 Typical size distribution profiles for pDNA complexes suspended in HEPES buffer, as a function of time...100
Figure 4.7 Typical size distribution profiles of pDNA complexes suspended in ultra-pure water, as a function of time...101
Figure 4.8 Average particle size of ctDNA/PLL 29300 complexes prepared at a DNA concentration of 50pgml ', as a function of storage temperature... 104
Figure 4.9 Average particle size of ctDNA/PLL 29300 complexes prepared at a DNA concentration of 200pgml ' as a function of storage temperature...105
Figure 4.10 Typical size distribution profiles for complexes prepared at a ctDNA concentration of 200p.gml ‘ and stored at room temperature, as a function of time...106
Figure 4.11 Typical size distribution profiles for complexes prepared at a ctDNA concentration of 200|Ligmr* and stored at 4°C, as a function of time... 107
Figure 5.1 Average particle size of ctDNA/PLL 29300 complexes as a function of collection method and volume...112
Figure 5.2 Average particle size of ctDNA/PLL 29300 complexes prepared using a tube internal diameter of 0.8mm, as a function of mixing flow rate...115
Figure 5.3 Typical size distribution profiles for complexes prepared using a tube internal diameter of 0.8mm as a function of mixing flow rate... 116
Figure 5.4 Average particle size of ctDNA/PLL 29300 complexes prepared using a tube internal diameter of 1.6mm, as a function of mixing flow rate...117
List o f Figures
Figure 5.6 Average particle size of ctDNA/PLL 29300 complexes prepared using a tube internal
diameter of 3.2mm as a function of mixing flow rate... 118
Figure 5.7 Typical size distribution profiles for complexes prepared using a tube internal diameter
of 3.2mm, as a function of mixing flow rate... 118
Figure 5.8 Average zeta potential of ctDNA/PLL complexes prepared using a tube internal
diameter of 0.8mm as a function of mixing flow rate... 119
Figure 5.9 Average zeta potential of ctDNA/PLL complexes prepared using a tube internal
diameter of 1.6mm, as a function of mixing flow rate... 120
Figure 5.10 Average zeta potential of ctDNA/PLL complexes prepared using a tube internal
diameter of 3.2mm, as a function of mixing flow rate... 120
Figure 5.11 Size distribution profiles for DNA complexes prepared at a mixing flow rate of
60mlmin ' using a tube internal diameter of 1.6mm, as a function of mixing tube length... 122
Figure 5.12 Size distribution profiles for DNA complexes prepared at a mixing flow rate of
40mlmin'' using a tube internal diameter of 1.6mm, as a function of mixing tube length... 123
Figure 5.13 Size distribution profiles for DNA complexes prepared at a mixing flow rate of
20mlmin'^ using a tube internal diameter of 1.6mm, as a function of mixing tube length... 124
Figure 5.14 Size distribution profiles for DNA complexes prepared at a mixing flow rate of
20mlmin * using a tube internal diameter of 0.8mm, as a function of mixing tube length... 125
Figure 5.15 Size distribution profiles for DNA complexes prepared at a mixing flow rate of
60mlmin'* using a tube internal diameter of 3.2mm, as a function of mixing tube length... 126
Figure 5.16 Average particle size of ctDNA/PLL 29300 complexes prepared at varied mixing flow
rate and tube internal diameter, as a function of residence time... 127
Figure 6.1 Typical half normal plot generated using Design-Expert5®... 141
Figure 6.2. Effects graph showing the influence of factor E (pH) on the particle size of pDNA/PLL
complexes immediately after preparation... 142
Figure 6.3 Interaction graph showing the effect of an interaction between factors E, pH, and F,
pDNA concentration, on the particle size of pDNA/PLL complexes immediately after preparation...143
Figure 6.4 Effects graph for the effect of factor F, pDNA concentration, on the particle size of
pDNA/PLL complexes one week after preparation... 145
Figure 6.5 Interaction graph showing the effect of an interaction between factors A, mixing flow
rate, and factor B, mixing tube length on the particle size of pDNA/PLL complexes two weeks after preparation... 146
Figure 6.6 Interaction graph showing the effect of an interaction between factor A, mixing flow
rate and factor F, pDNA concentration on the size of pDNA/PLL complexes two weeks after preparation... 147
Figure 6.7 Effect graph showing the effect of pDNA concentration on the zeta potential of
pDNA/PLL complexes measured immediately after mixing... 148
Figure 6.8 Interaction graph demonstrating the effect of an interaction between factor A, mixing
flow rate and factor B, mixing tube length, on the zeta potential of pDNA/PLL
complexes immediately after preparation... 149
Figure 6.9 Interaction graph showing the effect of an interaction between factor D, tube material,
and factor F, pDNA concentration on the zeta potential of pDNA/PLL complexes one week after preparation...151
Figure 6.10 Effect graph showing the influence of factor F, pDNA concentration, on the zeta
potential of pDNA/PLL complexes after two weeks... 151
Figure 6.11 Interaction graph showing the effect of an interaction between factor D, tube material.
List o f Figures
and factor F, pDNA concentration on the leta potential of pDNA/PLL complexes after two weeks... 152
Figure 6.12 Perturbation plots showing the effect of the three major factors, mixing flow rate (A),
pH (B) and pDNA concentration (C), on tie responses of pDNA/PLL complexes 155
Figure 6.13 Response surface plots illustrating the effect of varying mixing flow rate and pH on the
particle size of pDNA/PLL complexes immediately after preparation...158
Figure 6.14 Response surface plots illustrating the effect of varying pH and mixing flow rate on the
particle size of pDNA/PLL complexes one week after preparation... 160
Figure 6.15 Response surface plots illustrating the effect of varying the mixing flow rate and pDNA
concentration on the particle size of pDNA/PLL complexes two weeks after
preparation... 163
Figure 6.16 Response surface plots illustrating the effect of varying mixing flow rate and pH on the
zeta potential of pDNA/PLL complexes immediately after complex preparation 165
Figure 6.17 Response surface plots illustrating the effect of varying mixing flow rate and pDNA
concentration on the zeta potential of pDNA/PLL complexes one week after
preparation...167
Figure 6.18 Response surface plots illustrating the effect of varying pH and pDNA concentration on
the zeta potential of pDNA/PLL complexes two weeks after preparation...168
Figure 6.19 Experimental data versus predicted values for the particle size of pDNA/PLL complexes
at time zero as a function of pDNA concentration, pH and mixing flow rate...171
Figure 6.20 Experimental data versus predicted values for the particle size of pDNA/PLL complexes
one week after preparation as a function of pDNA concentration, pH and mixing flow rate... 171
Figure 6.21 Experimental data versus predicted values for the particle size of pDNA/PLL complexes
two weeks after preparation as a function of pDNA concentration, pH and mixing flow rate... 172
Figure 6.22 Experimental data versus predicted values for the zeta potential of pDNA/PLL
complexes at time zero as a function of pDNA concentration, pH and mixing flow rate... 172
Figure 6.23 Experimental data versus predicted values for the zeta potential of pDNA/PLL
complexes one week after preparation as a function of pDNA concentration, pH and mixing flow rate... 173
Figure 6.24 Experimental data versus predicted values for the zeta potential of pDNA/PLL
complexes two week after preparation as a function of pDNA concentration, pH and mixing flow rate... 173
Figure 6.25 Effects graph for the effect of factor G, NaCl concentration, on the particle size of
pDNA/PLL complexes immediately after preparation... 179
Figure 6.26 Interaction graph showing the effect of an interaction between factors A, pDNA
concentration and G, NaCl concentration on the particle size of pDNA/PLL complexes immediately after preparation...180
Figure 6.27 Effect graph showing the influence of factor A, pDNA concentration, on the particle
size of pDNA/PLL complexes thirty minutes after preparation... 181
Figure 6.28 Effect graph showing the influence of factor G, NaCl concentration, on the particle size
of pDNA/PLL complexes thirty minutes after preparation... 182
Figure 6.29 Interaction graph showing the effect of an interaction between factors A, pDNA
concentration and G, NaCl concentration on the zeta potential of pDNA/PLL
complexes... 184
Figure 6.30 Size profile of pDNA/PLL complexes prepared at a pDNA concentration of 200pgm l'\
in 20mM HEPES pH6.5, OmM NaCl, using a mixing flow rate of 60mlmin ', and PharMed tubing with an internal diameter o f 1.6mm and a mixing tube length of 4cm...187
List o f Figures
in 20mM HEPES pH8.5, 150mM NaCl, using a mixing flow rate of 60m lm in'\ and PharMed tubing with an internal diameter of 1.6mm and a mixing tube length of 4cm...187
Figure 6.32 Size profile of pDNA/PLL complexes prepared at a pDNA concentration of 200pgml"\
in 20mM HEPES pH6.5, 150mM NaCl, using a mixing flow rate of 60mlmin ', and PharMed tubing with an internal diameter of 1.6mm and a mixing tube length of 4cm ...188
Figure 6.33 Perturbation plots showing the effect of the four major factors, pDNA concentration
(A), NaCl concentration (B), pH (C) and mixing tube length (D) on the responses of pDNA MB 113/PLL complexes...189
Figure 6.34 Response surface plot illustrating the effect of varying pDNA and NaCl concentration
on the particle size of pDNA/PLL complexes immediately after preparation... 191
Figure 6.35 Response surface plots illustrating the effect of varying mixing tube length and pH on
the particle size of pDNA/PLL complexes immediately after preparation...192
Figure 6.36 Response surface plots illustrating the effect of varying mixing tube length and pH on
the particle size of pDNA/PLL complexes immediately after preparation...194
Figure 6.37 Response surface plot illustrating the effect of varying pDNA and NaCl concentration
on the particle size of pDNA/PLL complexes thirty minutes after preparation... 195
Figure 6.38 Response surface plots illustrating the effect of varying mixing tube length and pH on
the particle size of pDNA/PLL complexes thirty minutes after preparation...197
Figure 6.39 Response surface plot illustrating the effect of varying pDNA and NaCl concentration
on the zeta potential of pDNA/PLL complexes... 198
Figure 6.40 Response surface plots illustrating the effect of varying mixing tube length and pH on
the zeta potential of pDNA/PLL complexes... 200
Figure 6.41 Experimental data versus predicted values for the particle size of pDNA/PLL complexes
at time zero as a function of NaCl concentration, pDNA concentration, pH and mixing tube length...202
Figure 6.42 Experimental data versus predicted values for the particle size of pDNA/PLL complexes
thirty minutes after preparation as a function of NaCl concentration, pDNA
concentration, pH and mixing tube length... 202
Figure 6.43 Experimental data versus predicted values for the zeta potential of pDNA/PLL
complexes as a function of NaCl concentration, pDNA concentration, pH and mixing tube length...203
Figure 7.1 Typical half normal plot generated using Design-Fxpert5®...221
Figure 7.2 Effects graph for the effect of factor G, NaCl concentration, on the size of LID
complexes immediately after preparation at time zero... 222
Figure 7.3 Effects graph for the effect of factor F, Tube Internal Diameter (ID), on the size of LID
complexes thirty minutes after preparation... 223
Figure 7.4 Effects graph for the effect of factor G, NaCl concentration, on the size of LID
complexes thirty minutes after preparation... 224
Figure 7.5 Effects graph for the effect of factor A, pDNA concentration, on the zeta potential of
LID complexes... 225
Figure 7.6 Effects graph for the effect of factor B, pH, on the zeta potential of LID
complexes...225
Figure 7.7 Effects graph for the effect of factor G, NaCl concentration on the zeta potential of LID
complexes...226
Figure 7.8 Size profile of LID complexes prepared at a pDNA concentration of 10^gm l'\ in 20mM
HEPES pH6, OmM NaCl, using tubing with an internal diameter of 0.8mm... 228
Figure 7.9 Size profile of LID complexes prepared at a pDNA concentration of I50|lgml ', in
20mM HEPES pH6, I50mM NaCl, using tubing with an internal diameter of
3.2mm... 229
List o f Figures
Figure 7.10 Perturbation plots showing the effect of the four major factors, pDNA concentration
(A), NaCl concentration (B), pH (C) and tube internal diameter (D) on the responses of LID complexes...231
Figure 7.11 Response surface plot illustrating the effect of varying pDNA and NaCl concentration
on the particle size of LID complexes immediately after preparation at time zero 233
Figure 7.12 Response surface plot illustrating the effect of varying pDNA and NaCl concentration
on the particle size of LID complexes thirty minutes after preparation...234
Figure 7.13 Response surface plot illustrating the effect of varying pDNA and NaCl concentration
on the zeta potential of LID complexes... 236
Figure 7.14 Experimental data versus predicted values for the particle size of LID complexes at time
zero... 237
Figure 7.15 Experimental data versus predicted values for the particle size of LID complexes thirty
minutes after preparation...238
Figure 7.16 Experimental data versus predicted values for the zeta potential of LID
List o f Tables
List of Tables
Table 3.1 Comparison of Tubing Material... 82
Table 3.2 Six Factor Half-Factorial Experiment: Factors and Levels...86
Table 3.3 Three Factor RSM Experiment: Factors and Levels...86
Table 3.4 Seven Factor Quarter-Factorial Experiment: Factors and Levels... 87
Table 3.5 Four Factor RSM Experiment: Factors and Levels...87
Table 3.6 Seven Factor 1/16-Factorial Experiment: Factors and Levels... 88
Table 3.7 Four Factor RSM Experiment: Factors and Levels...88
Table 6.1 Design-Expert 5® Statistical Analysis Tables... 138
Table 6.2 Three-Factor RSM: Numerical Optimisation... 175
Table 6.3 Four-Factor RSM: Numerical Optimisation... 205
Table 7.1 Design-Expert 5® Statistical Analysis Tables...219
Table 7.2 Four-Factor RSM: Numerical Optimisation... 239
Table A l.l Some Physical Properties of Formulation Materials... 250
Table AlO.l Factorial Experiment 1 - Screen: Six-Factors...268
Table A10.2 Factorial Experiment 2 - D-Optimal RSM Design: Three-Factors...269
Table A10.3 Factorial Experiment 3 - Screen: Seven-Factors... 270
Table A 10.4 Factorial Experiment 4 - D-Optimal RSM Design: Four-Factors...271
Table A10.5 Factorial Experiment 5 - Screen: Seven-Factors... 272
Table A10.6 Factorial Experiment 6 - D-Optimal RSM Design: Four-Factors... 272
A bstract
Acknowledgments
I would like to thank my supervisor Professor Parviz Shamlou for his invaluable
guidance and advice and for the great enthusiasm for the development of the project.
Additionally my supervisor Dr. Ahmed Yasin of GlaxoSmithKline (GSK) has
provided important help and advice for which I am grateful.
I gratefully acknowledge the support of GlaxoSmithKline and the Biotechnology and
Biological Sciences Research Council.
I also wish to thank Andrew Scott (GSK) and Professor Tom Feam (UCL) for their
assistance with statistical design techniques.
I wish to acknowledge LiKim Lee for all the help and endless patience she gave
throughout my time at UCL. Also, I would like to thank Supti Sarkar for her friendship
and help.
I would like to thank all the people who have made the past few years enjoyable
including everyone in the department of Biochemical Engineering, particularly those in
the Colonnades Office and Foster Court. But the biggest thanks goes to Jobin, Nicky
and Tone for the many entertaining lunch and coffee breaks and essential after school
activities.
Finally a very big and very special thank you to the people who have helped me
personally, including Kirstie, my brother Jon, Jobin, Nicky, Tone and Raju, without
whom I would not have made it through. Most of all I would like to thank my parents,
Julie and Len, who, without exception, have been there with huge amounts of love and
Chapter 1. Aims and Objectives
This project has focused on two main areas of research, processing and physical
stability of plasmid DNA complexes, in order to aid the development of clinically
effective non-viral gene delivery products. The genomics revolution is providing an
increasing range of information on genes and their relationship to diseases rendering
more and more disease amenable to gene delivery (Mountain, 2000). In response gene
delivery research is advancing rapidly from concept to clinic. However a great deal of
work is still required to overcome the real concerns over the ability of DNA to be
delivered intact to the nuclei of target cells (BBSRC business, July 2000). It is believed
that colloidal properties of DNA complexes plays a key role in the capacity to deliver
genes to cells and has an impact on gene expression. It is therefore important to
understand the complex interaction of factors that control these properties in order that
they may be manipulated to create the gene delivery system with desired
characteristics (Smyth Templeton and Lasic, 1999). The aim of this investigation is to
study the impact of formulation processing and scale-up on the physical stability of
gene complexes using statistical design techniques.
1.1 Vector Production
If non-viral gene delivery proves to be clinically effective the enormous potential of
non-viral vectors will only be realised if they can be manufactured in a commercially
acceptable form that is amenable to scale up (Anchordoquy et a l, 2001, Bally et a l.
Chapter 1.________________________________________________________________ Aim s and Obiectives
1999; Davis, 2002; Marquet et a l, 1995). Biophysical characteristics of non-viral
DNA formulations, such as particle size and zeta potential are known to affect gene
delivery efficiency but attempts to relate attributes of the vector formulations has
proved very difficult as changes in one component often effects more than one
biophysical attribute of the resultant vector (Anchordoquy et a l, 2001; Bally et a l,
1999). For gene delivery products to be successful the vectors will need to retain
constant physical and chemical properties when manufactured at scale. The interaction
of formulation variables complicates manufacturing scale up and current non-viral
vectors are therefore made in relatively small batches by mixing a solution of DNA
with a suspension of complexing agent (lipid or polymer). This small-scale method of
preparation results in highly heterogeneous suspensions of particles that possess a wide
range of charge ratios and particle sizes (Anchordoquy et a l, 2001). For the long term
success of non-viral gene delivery techniques it is essential that scalable techniques for
the manufacture of stable and predictable products be developed.
The investigation detailed in this report examined a scaleable technique of
manufacturing stable non-viral gene delivery products. The whole process of
producing a gene delivery product involves many steps and this investigation focuses
on formulation, the final stage of the process (Figure 1.1). To circumvent the problems
created when using the small-scale laboratory based method of preparation, which
employs simple manual techniques of mixing, and avoid the concerns with respect to
the order of addition of components a semi-automated twin syringe pump mixing
device was used to prepare the DNA complexes (Figure 3.5) (Lee and Huang, 1997;
Zelphati et a l, 1998). The impact of scale up of the automated mixing method to
produce industrial scale quantities of DNA complexes was studied by varying key
processing variables such as flow rate, flow characteristics and residence time. The
results of this investigation demonstrated the capacity of a scaleable automated method
Chapter 1._________________________________________________________________Aim s and Obiectives
1.2 Physical Stability
Following manufacture it is imperative that the biological properties and gene delivery
efficiency of non-viral vectors can be preserved. This requires a thorough
understanding of the factors affecting these properties (Anchordoquy et a l, 2001;
Florence and Hussain, 2001). For in vivo studies and clinical trials it is essential that
the complexes are homogeneous and do not aggregate at high concentrations, but to
achieve this has proved problematic (Davis, 2002). As yet no non-viral gene delivery
system has demonstrated therapeutic levels of gene expression in human clinical trials
and significant variations in product quality and gene delivery efficiency has
highlighted the need for further research. The main focus has been on the improvement
of transfection efficiency, however, this has meant that crucial pharmaceutical aspects,
such as stability, have been ignored. If preparations become unstable after production
the quality control and the transfection rates, which are known to plague clinical gene
therapy trials, will be adversely affected. It is well known that aqueous suspensions of
non-viral vectors have a tendency to aggregate over time, particularly under conditions
of interest such as physiological conditions, making the ideal vector characteristics
very difficult to achieve (Anchordoquy et a l, 2001; Lee et a l, 2001). Post
administration aggregation in the patient may also be a problem due to the interaction
of complexes, particularly cationic lipid/DNA particles, with blood components such
as albumin. Such interactions may reduce the zeta potential of the complexes, hence
reducing the charge repulsion between particles (Li et a l, 1999; Pouton and Seymour,
1998). There are a number of formulation variables known to aggravate the problem of
instability including the type of cationic lipid used, the type and quality of additional
lipids used to prepare the formulation, composition of diluents and buffer used, method
and rate of mixing, temperature at mixing, DNA purity and the length of time after
complex formation (Bally et a l, 1999).
The aggregation problems clearly affects the quality of gene delivery formulations and
the significant variations in product quality and gene delivery efficiency have
stimulated interest in developing stable synthetic vectors that resist aggregation
(Anchordoquy et a l, 2001). Although recent formulations claim to have improved
stability the shelf life is typically measured in hours or days rather than the eighteen
Chapter 1.________________________________________________________________ Aim s and Obiectives
months to two-year time frame required for marketable pharaiaceutical products
(Anchordoquy et a l, 2001). To circumvent the aggregation problem a number of
solutions have been under development but aggregation is extremely difficult to
control and as yet no method has provided DNA complexes with the level of
consistency required to achieve long term stability (Bally et a l, 1999). Surfactants are
often added to enhance the stability and prevent aggregation of DNA complexes.
However the addition of excipients can complicate the characterisation, toxicity and
manufacture of the delivery system (Zelphati et a l, 1998). A number of methods have
been developed to prevent the interactions among the components within a suspension
that lead to aggregation. For example Hong and Colleagues and Eastman and co
workers used PEG-lipid conjugates to sterically stabilise the particles in aqueous
suspensions thereby preventing aggregation (Barratt, 1999). If done properly, sterically
stabilised particles can be formed at concentrations exceeding milligram quantities of
DNA per millilitre (Davis, 2002). While aggregation was reduced the technique has
not been widely employed due to the fact that steric stability is also known to lower
transfection activity as it curtails interactions with cells and interferes with cellular
processing. Finally, the free uncomplexed liposomes and DNA typically contained in a
bulk suspension of DNA complexes also have a negative impact on the stability of the
complexes. The stability of non-viral DNA complexes can therefore be increased if the
complexes are isolated from the bulk suspension. However, the present separation
techniques, such as sucrose gradient electrophoresis, are non-seal able (Anchordoquy et
a l, 2001). The current methods available to prevent aggregation clearly have
disadvantages and alternative methods of minimising aggregation with minimal
interference with the constituents of the complex itself are therefore being sought.
The physical stability of nanoparticle suspensions is crucial to the success of the
synthetic gene delivery approach (Florence and Hussain, 2001). The numerous factors
affecting stability of DNA delivery products compounds the problem of isolating the
key factors that could be used to control or circumvent the aggregation problem and
the aim of this investigation was to identify factors and assess their interactions. Of the
formulation variables previously investigated, the method of mixing the plasmid DNA
Chapter 1._________________________________________________________________Aim s and Objectives
expression in vitro and also affects lipoplex structure and stability (Ferrari et al.,
2001). Alternative methods of forming lipid-based DNA carriers in a more controlled
manner are therefore currently under development and have been used in this
investigation (Wasan et a l, 1999). A semi-automated method of preparing non-viral
DNA complexes was employed in the present investigation whilst varying both
processing variables, such as flow rate and mixing tube dimensions, and formulation
variables, such as buffer pH and DNA concentration. The degree of interaction
between the variables and the affect on the aggregative characteristics of the DNA
complexes were assessed on the basis of particle size and zeta potentials. The results of
the investigation highlighted the factors that have a significant effect on the stability of
non-viral DNA complexes, the level of interaction between the factors and allow the
identification of the optimum conditions required for the production of stable and
defined complexes.
1.3 Experimental Design
The aim of this investigation, the definition of critical parameters involved in the
production of physically stable gene delivery complexes, was achieved through the
variation of a number of factors involved in the formulation and processing of non-
viral gene delivery complexes followed by the characterisation of the resultant
complexes. The investigation utilised both classical and statistical experimental design
techniques. The classical “one factor at a tim e” (OFaT) techniques were used to gain a
basic understanding of the potentially influential factors. Subsequently this process
knowledge was used in the construction of the more complex factorial and response
surface designs. The statistical techniques were used in order to provide guidelines as
to the reliability and validity of the results and thereby add objectivity to the decision
making procedure involved in process optimisation.
Chapter 1. Aims and Obiectives
Figure 1.1 - Position o f this investigation in relation to other aspects o f the process fo r the production o f plasmid DNA fo r gene therapy
Plate - slock culture o f E. co ll
transformed with plasmid
IS
Shake
flask Fermenter C entrifuge
N on-viral drug delivery system preparation:
prepare D N A and co m p lex in g agent solu tion s, set charge ratio, set pH environm ent, control m ixin g using syringe pump d evice
Ultra-pure Plasm id
C hrom atography C entrifuge
R
W
Lysis
I
0
Chapter 2. Literature Survey
-Gene Delivery: A Historical Perspective
To date very little published information on key issues related to the bioprocessing and
manufacture of gene delivery products exists. At present much research is
concentrating on scientific issues related to gene therapy. W hat follows is therefore a
historical overview of gene delivery.
2.1 Gene Delivery
Gene delivery, one of the most exciting, controversial and highly publicised areas in
biotechnology has a remarkable history and potentially an important future. The
techniques involve the transfer of foreign genes into cells of a recipient organism in
order to induce a therapeutic effect (FDA, 2000). As long ago as the mid 1950’s gene
delivery was demonstrated when cells were shown to be capable of taking up foreign
nucleic acid extracted from viruses, and express it as if it were their own (Feigner,
1997). Since, these findings have provided the incentive for scientists to harness the
potential of this technology. In the last decade gene delivery has become a major field
of research, aimed at improving the efficiency of delivery in order that it may be used
for medical and therapeutic purposes. The future of gene delivery lies in two main
areas of research, gene therapy and gene vaccines, both of which hold great promise
for patients worldwide (Feigner, 1997). The use of genetic material for treatment is
Chapter!.____________________________________________________________________Literature Survey
theoretically a relatively simple concept and with current research, building on the vast
research that has taken place over more than a decade, gene delivery techniques have
the potential to revolutionise the management of inherited and acquired disease thereby
becoming valuable medical products for the future (Geddes and Alton, 1995; Tseng
and Huang, 1998).
2.1.1 Gene Therapy
After a decade of research gene therapy, whilst still in its infancy, has become a robust
scientific discipline, which, once reaching the market place promises to revolutionise
and reshape medicine in the same way as antibiotics have (Anchordoquy et a i, 2001;
Geddes and Alton, 1998; http://ims-global/insight, 2000; http://southflorida, 1998).
While traditional treatments for intractable genetic diseases prolong life and alleviate
suffering by curing the symptoms gene therapy aims to reduce or completely eliminate
a disease from the patient (Bally et a i 1999; FDA, 2000). The treatment relies on the
introduction of a ‘drug’ in the form of genetic material into human cells in order to
correct the deficiencies at the molecular level of DNA (Bally et a l, 1999; Brown,
1995; Deshmukh and Huang, 1995; Marquet et a l, 1995; Pappas, 1996; Pack et a l,
2000). The genetic material can be delivered to restore a defective biological function
or homeostatic mechanism. Alternatively, antisense DNA can be applied, which could
inactivate a gene or other peptides and nucleotides to treat diseases such as cancer.
The technology of DNA delivery has the advantage of being a broad platform
technology that has the potential to impact all diseases presently affecting humans,
ranging from inherited genetic diseases such as cystic fibrosis (CF), inflammatory
diseases, vascular disease, neurological disorders and cancer to acquired diseases such
as AIDS (Anchordoquy et a l, 2001; Bally et a l, 1999; Deshmukh and Huang, 1995;
Pappas, 1996; Pack et a l, 2000). The technology therefore offers hope of substantial
improvements in the therapeutic ratio and cure rates for diseases presently considered
untreatable or poorly managed (Mountain, 2000).
There are two types of gene therapy, somatic and germ line, however, due to ethical
Chapter!.____________________________________________________________________Literature Survey
therapy involves the manipulation of an individual’s genetic material, adding
therapeutic copies of the defective gene to the bodies’ somatic cells. Following
expression of the inserted wild type gene the correct function of the cell restored
(Pappa et a l, 1996; Stribley et a l, 2002). However, somatic cell therapy does not cure
the disease from the population. Germ line therapy involves the same principal of
manipulation as somatic cell therapy although the target cells are those of the germ line
i.e. the cells that eventually produces gametes. Progeny of the treated individual will
therefore inherit any correction that results from the treatment thereby preventing
propagation of the disease. Germ line gene therapy has shown success in both plant
and animal models, however, at present the manipulation of germ line cells in this way
is illegal in many countries due to unresolved ethical issues regarding the unknown
consequences and potential risks of genetic engineering to future generations (Stribley
et a l, 2002). Germ line therapy, while having the potential to eradicate genetic disease
from the population is not feasible at present and somatic cell therapy is therefore the
focus of current research.
Once gene therapy technology is finalised it will provide doctors with powerful tools
with which to fight a range of conditions. The worldwide gene therapy market is
estimated to be worth $3.6 Billion by 2005 (http://southflorida, 1998). The gene
therapy industry has however suffered many setbacks during its history, which have
hindered its success. The most significant of these setbacks has been the struggle to
improve the effectiveness of the technology in order to efficiently introduce and ensure
expression of the genetic material in the targeted cells (Bally et a l, 1999;
http://www.imms-globa.com/insight, 2000). The majority of clinical trials have been
small phase FIX studies aimed at demonstrating safety, transfer of genes plus
information to guide dose selection for phase II and III efficacy studies (Mountain,
2000). Some trials are ongoing such as those for chronic granulomatous disease, brain
cancer and non-inherited diseases such as AIDS (Pappas, 1996). At present however
most of the research has not reached clinical trials and many that do tend to uncover
additional problems mainly concerning the delivery of the genetic material into the
defective cells (Crystal, 1995; Deshmukh and Huang, 1995; W olfert et a l, 1996).
While great progress has been made gene therapy research has a long way to go before
Chapter!.____________________________________________________________________Literature Survey
the technology is fully developed and any manufacturers of gene therapy products will
be required to test their products extensively to meet regulatory agency requirements
for safety, purity and potency before they will be put on the market (FDA, 2000; Smith
and Doherty, 2000).
2.1.2 Gene Vaccines
Vaccination is one of the great success stories of m odem medicine and vaccine
development, just entering the third generation of technology, has a long history
(Babiuk, 1999; Brower, 1998; Spack and Sorgi, 2001). The original vaccines,
consisting of live attenuated pathogens, were invented as long ago as AD 900. These
vaccines, however, were only capable of mobilising the Cytotoxic T-Lymphocytes
(CTL’s) and carried risk of infection. Further research led to the development of
vaccines produced from killed (attenuated) pathogens or purified polymeric
components. While many of these vaccines are still in use worldwide there remain
many pathogens that are still resistant to current vaccine approaches and an increasing
number of once treatable pathogens are now becoming resistant (Brower, 1998; Spack
and Sorgi, 2001). The main reason is that although these second generation vaccines
are able to produce an antibody response many are not capable of provoking the
cellular immunity that is often required for effective protection against some pathogens
(Smith and Klinman, 2001; Spack and Sorgi, 2001; Wahren, 1996). Genetic vaccines,
the third and most recent generation of technology, were discovered during
experiments using replication defective retroviral vectors when it was realised that
through the direct injection of antigen expressing DNA a small number of infected
cells (10^^ to 10^) could raise a protective immune response (Robinson, 2000). The
discovery led to testing of proviral DNA used to produce infectious retroviral vectors
in the influenza model for the antibody to act as vaccine in chickens and resulted in the
first demonstration of protective immunisation by a DNA vaccine (Robinson, 2000;
Scheerlink, 2001). The field of DNA vaccines was then established in the 1980’s and
early 1990’s surrounded by hype and optimism (Page and Cudmore, 2001). Since,
numerous other animal and human studies have been carried out to show that DNA
immunisation does induce potent cell mediated protective immune responses and in
Chapter!.____________________________________________________________________Literature Survey
2002; Cohen, 1998; Perrie et a l, 2001; Robinson, 2000). The clinical studies also
suggest DNA vaccines are well tolerated reporting only mild to moderate local adverse
effects in human volunteers (Smith and Klinman, 2001). Since the early reports that
demonstrated the potential feasibility of the approach there has been an explosion of
research on DNA vaccines for both humans and species of veterinary interest and is
expected to provide significant improvements in the technology (Krishnan, 2000).
The DNA vaccination technology involves the inoculation of a purified preparation of
plasmid DNA expression vector alone or with a delivery system. The bacterial plasmid
construct contains a pathogen gene(s) encoding immunogenic protein(s) plus gene(s)
to aid expression of foreign DNA within the host. Following vaccination with a gene
vaccine, the plasmid DNA is taken up by the host cells and pathogen proteins are
expressed and processed. After processing the pathogen proteins are then presented in
the context of self M ajor Histocompatibility Complex (MHC) class I and class II
molecules eliding an immune response thereby generating immunity to one or more
diseases (Gurunathan et a l , 2000; Krishnan, 2000; Prazeres et a l, 1999; Robinson,
2000; Smith and Klinman, 2001; Tacket et a l, 1999; Wahren and Brytting, 1997;
Zoon, 1996).
Genetic vaccination, although a relatively new technology, has already demonstrated
superiority over conventional vaccination in several respects including improved
safety, customisable, wider applicability and cost effective (Prud’homme et a l, 2001;
Robinson, 2000; Spack and Sorgi, 2001). Although DNA vaccines share many of the
advantages of live or attenuated viral and bacterial vaccines they do not have the safety
concerns. For instance plasmid DNA vaccines are not able to revert to a virulent form
and cause severe infection and the antigen is produced within the patients cells, which
provides the advantage of presenting the proteins in the same way as in a natural
infection but without the vaccine being infectious (Babiuk, 1999; Caldwell, 1997;
Doepel, 2001; Fomsgaard, 1999; Spack and Sorgi, 2001; Wahren, 1996; Wahren and
Brytting, 1997). Plasmid DNA constructs can be tailored to include only essential
DNA in order to produce an immune response focused only on the antigens necessary
for generating a safe, effective and specific immune response (Caldwell, 1997;
Chapter2.____________________________________________________________________Literature Survey
Fomsgaard, 1999; Page and Cudmore, 2001; Robinson, 2000; Wahren and Brytting,
1997). The ease with which pDNA constructs can be made should also permit tailoring
of the plasmid to provide the possibility for multi disease targeting, addressing several
diseases in one vaccine shot, which is particularly attractive to developing countries.
Such techniques should also permit the enhancement of the vaccine capabilities by the
conjunction of genes that encode various cytokines including chemokines or co
stimulatory molecules that will enhance the action of the therapeutic genes (Brower,
1998; Babiuk, 1999; Prud’homme et a l , 2001; W ahren, 1996; Wahren and Brytting,
1997). DNA vaccines also have major immunological advantages over previous
vaccine generations and can therefore be applied to a wider selection of pathogens.
Most currently available vaccines induce antibody responses capable of mediating
long-term protection, however, some diseases such as HIV, leishmaniasis and
tuberculosis require vaccines that are capable of also inducing cell mediated immunity.
In the past 5-lOyears DNA vaccination has been shown to be eapable of producing
long-lived humoral and cellular immune responses in vivo in a variety of models
(Brower, 1998; Caldwell, 1997; Feigner, 1997; Gurunathan et a l, 2000; Page and
Cudmore, 2001; Packet et a i, 1999). DNA vaccines, by mimicking viral infection, are
able to access the MHC class I and class II processing and presentation pathway
(Robinson, 2000; Spack and Sorgi, 2001). The ability to use generic methods for
vaecine production in terms of the construction of plasmid DNA using recombinant
DNA technology as well as growth and purification of plasmid DNA also makes
manufacturing relatively easy and cost effective compared to vaeeines containing
attenuated virus, recombinant subunits or peptides (Babiuk, 1999; Cohen, 1998;
Robinson, 2000; Spaek and Sorgi, 2001; Wahren, 1996). The stability of DNA over a
wide range of temperatures and the fact that some formulations ean be lyophilised,
eliminating the need for continuous cold storage also reduees the cost through storage
and increasing the acceptable storage time thereby also making the vaccines more
accessible for developing countries (Evans et a l, 2000; Robinson, 2000; Spack and
Sorgi, 2001; Wahren, 1996).
With all of the potential advantages o f genetic vaccines seientists have begun working
Chapter!.____________________________________________________________________Literature Survey
gene vaccines against many other conditions using both prophylactic and therapeutic
approaches. Current targets include vaccination against dangerous diseases such as
AIDS, tuberculosis, rabies, herpes and malaria, m ost of which are entering clinical
trials, as well as autoimmune conditions such as multiple sclerosis and juvenile
diabetes and even some cancers (Caldwell, 1997; Cohen, 1998; Collins, 2001; Doepel,
2001; Fomsgaard, 1999; Girard et a i, 1999; Hawkins et a i, 2002; Smith and Klinman,
2001; Spack and Sorgi, 2001; Wahren and Brytting, 1997; Zoon, 1996).
Although gene vaccines are advantageous compared with previous vaccine
generations, and have proven to be effective in many clinical trials, research is not yet
complete due to issues that need to be addressed concerning vaccine potency and
safety issues (Tollefsen et a l, 2002). Originally gene vaccines were developed as
naked DNA preparations, however, researchers have shown this would require an
excessive quantity of genetic material to achieve a significant response. Consequently
vaccine research is now focusing on a combination of DNA with adjuvants, lipids or
polymers in order to boost the effect of the DNA, protect it from degradation and
therefore reduce the quantity of DNA required (Brower, 1998; Oregonadis et a l, 1997;
Ferrie et a l, 2001). A novel technology, expression libraries, has also been designed to
facilitate the rapid identification of microbe antigens that induce protective immunity
when delivered as DNA vaccines whilst avoiding those that might cause unwanted
effects. This is expected to increase the pace of new candidate antigens that can be
tested (Krishnan, 2000; Wahren, 1996). Despite these improvements the present
potency of DNA vaccines is an issue with several phase I human clinical studies
reporting little or no immune responses (Selby et a l, 2000). Emerging infections such
as those caused by immunodeficiency viruses and remerging diseases such as drug
resistant forms of tuberculosis, pose new threats for vaccine development in first world
countries which are even more pronounced in the third world where effective vaccines
are often unavailable or cost-prohibitive (Caldwell, 1997; Fomsgaard, 1999; Robinson,
2000). A number of safety considerations will also need to be resolved before the use
of DNA vaccines becomes wide spread. For instance if combination of genes from one
virus or parasite or with mixtures involving genes from different microbes are used it
will be mandatory that they do not interfere with each other in an unpredictable way.
Chapter!.____________________________________________________________________Literature Survey
There are also concerns with respect to integration into the patients genome and the
preferred approach is to keep the genetic content other than the gene itself to a
minimum in order to diminish the potential risks of integration (Wahren, 1996). The
direct introduction of DNA into animal tissues has many of possibilities for
immunotherapeutic interventions, and while significant progress has been achieved, it
is clear that the potency of DNA vaccines must be increased in order to harness the
advantages these vaccines clearly posses and to achieve successful application of this
technology to humans (Scheerlink, 2001; Selby et a l , 2000; Wahren and Brytting,
1997).
2.2 Types of Treatment
A gene delivery treatment requires the therapeutic gene(s) to be inserted into the target
cells of the patient and can occur by one of two modes, ex vivo or in vivo. The ex vivo
technique involves the removal of cells from the patient followed by transfection of the
cells before réintroduction (Figure 2.1) (Marquet et a l, 1997a). This technique results
in very efficient gene transfer and created the opportunity for cell propagation
generating higher cell densities. However ex vivo delivery is largely patient specific
due to cell immunogenicity, the effectiveness depends on permanent introduction of
the recombinant genes into the target cell and cell manipulation adds manufacturing
and quality control problems thereby making the technique costly. In vivo delivery
involves administration of genetic material directly into the patients body. Delivery is
therefore not patient specific, which makes it less efficient, but reduces costs, logistics
and infrastructure requirements compared to ex vivo delivery (Figure 2.1) (Marquet et
a l, 1997a; Mountain, 2000; Stribley et a l, 2002). The use of either technique must be
decided on a case-by-case basis depending on the purpose of the recombinant gene,
nature of the target cell or organ and the choice of vector (Stribley et a l, 2002).
Overall, for healthcare purposes the significance of the disadvantages associated with
the ex vivo delivery mode often outweighs those of the in vivo technique and has
Cliapter2. Literature Sun>ev
Figure 2.1 Gene Delivery
Modification o f the genetic material o f living cells, either:
ex vivo (indirect) in vivo (direct)
Non-viral
Viral
gene
0
Non-viral
2.3 Socio-economic Issues
T he success o f gen e delivery relies not only on the d ev e lo p m e n t o f efficient, none
toxic delivery system s but also on public perception. In recent years the public
backlash against industries, such as that a im ed at the d ev e lo p m e n t o f genetically
m o dified foods by the agricultural industry, has d em o n stra te d the strong public interest
in genetic en g in ee rin g and highlighted the nee d to ensure the public are kept well
inform ed o f potential benefits, risks and protection m easu res that are in place for all
future d ev e lo p m e n ts in areas o f genetic research (h ttp ://w w w .im s-g lo b al.c o m /in sig h t,
2000). A lthough the perceived advantages o f gene delivery therapeutics o ver c u n e n t
pharm a ceutica ls are undisputable, so far gene delivery has not d elivered the prom ised
results (F riedm ann, 1996; M o u n tain , 2000).
T he perceiv ed advantages o f gene therapy o v e r conventional small m olecules or
biologies include the c o n e c tio n o f the genetic ca u se o f the disease, selective treatment
o f affected (diseased) cells and tissues and the long term treatm ent after a single
application. As public ac ceptance o f gene thera py is a large d e te im in a n t to its success
the p ro m in en t co verage of the first death o f a patient in gene perception clinical trials
C la ir e N i c o l e M o u n t
Chapter!.____________________________________________________________________Literature Survey
came as a huge blow to public support, giving disparity between theory and practice,
and heightened public concern as to the safety of such treatments (http://www.ims-
global.com/insight, 2000; Rubanyi, 2001). The patient died on a clinical trial in 1998
due to an adverse immune reaction to a high dose of adenoviral vectors used to
administer genes encoding ornithine transcarbamaylase (http://www.ims-
global.com/insight, 2000; Stribley et a l, 2002). Fatalities such as this underscore the
risks involved in pioneering new approaches in medicine and highlight the requirement
for comprehensive new approaches in medicine and the requirement for
comprehensive regulatory guidelines and stringent review procedures for clinical
protocols (Rubanyi, 2001). To keep the faith of the public it is important to clearly
demonstrate the successful use of gene delivery techniques. A number of qualities
related to the application of gene delivery, however, also merit concern (Rubanyi,
2001). The distribution and persistence of DNA sequences contained within gene
transfer products create concern due to the potential for the sequences in the vector to
be expressed in non-target cells/tissues and in particular the potential for inadvertent
gonadal distribution and germ line integration (Sims, 2001). The fear of sequence
integration also creates concern due to the potential for induction of cancer mutation if
sequences integrate within oncosupressor genes (Robinson, 2000). Additional concerns
related to gene vaccines inparticular include the potential to induce immune tolerance
to vaccine antigens, the induction of antibodies to vaccine DNA or autoimmunity. The
success of Alain Fischer early in 2000 finally demonstrated the tremendous potential
of gene therapy when two infants with SCID-X were successfully treated. Bone
marrow stem cells with a normal copy of the cytokine receptor y chain were
transfected. Following treatment the patients were finally able to leave protective
isolation, discontinue treatment and grow and develop normally (Page and Cudmore,
2001; Stribley et a i, 2002). The major outcome of studies including thousands of
patients who have received gene therapy to date was that gene transfer was safe in the
vast majority of cases. Any side effects observed in these studies have, in most cases,
been manageable, with the exception of the one well publicised case, and it is hoped
that the examination of DNA sequences identified in the Human Genome Project
(HOP) will uncover further genes involved in diseases that could form the basis of
Chapter2.____________________________________________________________________Literature Survey
et a l, 2001). However at present the overwhelming technical obstacles remaining from
the last decade of research hinders success.
With hundreds of clinical studies involving more than 3000 patients much controversy
exists regarding how many patients have benefited from gene therapy (Mhashilkar et
a l, 2001). The current sentiment is that we now merely understand the critical
strengths and weaknesses of a first generation technology. It seems that too many
enthusiasts in the field of gene delivery promised too much in the early studies and
when they failed to deliver scepticism has set in (Friedmann, 1996). It has become
clear that a credible partnership between the public and scientists is needed not only to
deal with the current issues of the field but also to establish a basis on which to face
those of the future when gene therapy experiments move into uncharted and
contentious areas (Mhashilkar et a l, 2001). To date, however, few of the concerns
have been realised in preclinical or clinical trials (Robinson, 2000).
2.4 Genetic Material and Disease
DNA, the genetic material of 99% of natural entities, excluding some RNA viruses, is
the building block from which each individual is created. Each individual possesses a
unique genetic code or genotype consisting of DNA sequences from the gene pool and
codes for the proteins that drive the bodies biochemical reactions and in combination
with the environment dictate the phenotype of the individual (http://www.southflorida,
1998). The unique genetic code of certain individuals can however have detrimental
effects on the phenotype when key sequences are defective or mutated as a result of
inheritance or spontaneous/induced mutation in the individual lifetime and result in
either incorrect processing or a complete lack of protein production, disease and even
death. In man alone there are more than 40,000 recognised diseases that involve a
genetic component, more than 3000 of these are now known to result from a single
gene defect and many more caused by multiple gene defects, including inherited/non
inherited cancer and inherited illnesses such as cystic fibrosis, diabetes, haemophilia
and muscular dystrophy (Hug and Sleight, 1991; Lee et a l, 1997; Pack et a l, 2000;
Stribley et a l , 2002). As the understanding of the biochemical nature of the human
population has developed, with the aid of the Human Genome Project, it has led to a