NANOPARTICLES OF PLGA WITH ENCAPSULATED...
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Nanoparticles Of PLGA With Encapsulated InsulinFor Oral Controlled Release For Diabetes Treatment
Item Type text; Electronic Thesis
Authors Abduljawad, Marwan
Publisher The University of Arizona.
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NANOPARTICLES OF PLGA WITH ENCAPSULATED INSULIN FOR ORAL CONTROLLED RELEASE FOR DIABETES TREATMENT
By
Marwan Abduljawad
____________________________
A Thesis Submitted to the Faculty of the
DEPARTMENT OF CHEMICAL AND ENVIRONMENTAL ENGINEERING
In Partial Fulfillment of the Requirements
For the Degree of
MASTER OF SCIENCE CHEMICAL ENGINEERING
In the Graduate College
THE UNIVERSITY OF ARIZONA
2015
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STATEMENT BY AUTHOR
The thesis titled Nanoparticle of the PLGA Encapsulated Insulin for Oral
Controlled Release for Diabetes Treatment prepared by Marwan Abduljawad has been
submitted in partial fulfillment of requirements for a master’s degree at the University
of Arizona and is deposited in the University Library to be made available to borrowers
under rules of the Library.
Brief quotations from this thesis are allowable without special permission,
provided that an accurate acknowledgement of the source is made. Requests for
permission for extended quotation from or reproduction of this manuscript in whole
or in part may be granted by the head of the major department or the Dean of the
Graduate College when in his or her judgment the proposed use of the material is in
the interests of scholarship. In all other instances, however, permission must be
obtained from the author.
SIGNED: Marwan Abduljawad
APPROVAL BY THESIS DIRECTOR
This thesis has been approved on the date shown below:
Defense date
Roberto Guzman 12-10-2015
Professor of Chemical Engineering)
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ACKNOWLEDGMENTS
It is very hard to acknowledge all the people who tried to support me, especially,
my parents and my wife who would not mind to give up everything for me.
I would like to thank King Abdulaziz City for Science and Technology (KACST),
Dr. Turki bin Saud bin Mohammad Al Saud, the President of (KACST), and Dr.
Hamid Almiqren for offering my the scholarship to get my master degree.
I would like also to express my gratitude to Dr. Guzman who puts a lot of effort to
guide me in this field of research and in classes.
Finally, I would like to thank almost everyone who worked with me in our lab
especially Andre, Abdullah, and David.
III
TABLE OF CONTENTS
LIST OF FIGURES ......................................................................................................... 1
CHAPTER 1. INTRODUCTION ...................................................................................... 5
1.1. Nanotechnology in therapeutics ........................................................................... 6
1.2. Nanoparticles in medicine .................................................................................... 6
1.3. Drug delivery ........................................................................................................ 8
1.4. Mathematical modeling of drug release from biodegradable nanoparticles..........12
1.5. Insulin and diabetes ............................................................................................16
1.6. Thesis description ...............................................................................................30
CHAPTER 2. NANOPARTICLES OF PLGA WITH ENCAPSULATED INSULIN FOR
ORAL CONTROLLED RELEASE FOR DIABETES TREATMENT .............................. 31
2.1. Abstract ...............................................................................................................32
2.2. Introduction .........................................................................................................33
2.3. Materials and Methods ........................................................................................34
2.3.1. Materials .......................................................................................................34
2.3.2. Methodology for INP (Insulin Nanoparticles)Preparation ..............................34
2.3.3. Nanoparticles size ........................................................................................36
2.3.4. Insulin release studies ..................................................................................36
2.4. Results and Discussion .......................................................................................38
2.4.1.Insulin release results ....................................................................................38
2.4.2.Imaging and the size of the particles ..............................................................39
IV
2.4.3. Myoglobin release studies ............................................................................40
2.5. Conclusions ........................................................................................................41
CHAPTER 3. NANOPARTICLES OF PLGA WITH ENCAPSULATED
TRYPSIN:KINETICS AND ENZYME ACTIVITY ........................................................... 43
3.1. Abstract ...............................................................................................................44
3.2. Introduction .........................................................................................................45
3.2.1.Model Enzyme-Trypsin ..................................................................................45
3.2.2.Chemistry and function ..................................................................................45
3.2.3.Enzyme encapsulation ...................................................................................46
3.3. Trypsin encapsulation in PLGA nanoparticles .....................................................49
3.3.1. Materials .......................................................................................................49
3.3.2.Methods .........................................................................................................49
3.3.3.Release studies .............................................................................................50
3.3.4.Enzymatic activity ..........................................................................................50
3.4. Determination of kinetics .....................................................................................51
3.4.1.Materials ........................................................................................................51
3.4.2.Methods .........................................................................................................52
3.5. Results and Discussion .......................................................................................53
3.5.1.Determination of kinetics ................................................................................53
3.5.2.Release study ................................................................................................53
3.6. Conclusions ........................................................................................................57
CHAPTER 4. Conclusions .......................................................................................... 58
REFERENCES ............................................................................................................. 61
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List of figures
Figure 1. Computer-generated image of six insulin molecules assembled in a hexamer (Kyriakou, 1994)………………………………….…………………………16
Figure 2. The insulin secretion mechanism in detail (Novak, 2008)………..……18
Figure 3. The reactions of phosphorylation and dephosphorylation of enzymes, part of almost all biological processes. E=enzyme, P = phosphate (Espinal, 1989)…………………………………………………………………………………….19
Figure 4. The tyrosine kinase receptor indicating the external and internal sites it consists of, as well as the conformational changes undertaken. (Siddle, 1992)…………………………………………………………………………………….20
Figure 5. Total number of injections per day for 300 patients: 40% more than 4. 20.1% 3 injections. 34.7 2 injections. Other, only one injection……………..……22
Figure 6. Survey with diabetes patients prefer to take the insulin orally or by injections. Apparently, 80.5% prefer to take the medicine orally instead of injections………………………………………………………………………………..22
Figure 7. Insulin secretion in B cells and natural mechanism. Insulin is produced at a more or less constant rate regardless of blood glucose levels. And stores inside the gaps to prepare for excretion by the cell output (Novak, 2008)…………………………………………………………………………………….24
Figure 8. Organisms that affected by diabetes (Diabetes association in US)..…25
Figure 9. Statistics about the number of people who has been affected by diabetes around the world (Diabetes association in US)………………….………27
Figure 10. Alternative routes for the delivery of insulin (Owens, 2002).………....28
Figure 11. Summary of the alternative insulin delivery products being developed (Taylor and Shota, 2012).……………………………………………………….……29 Figure 12. Scheme of synthesis of Insulin loaded polymeric nanoparticles using a double emulsification technique…………………...…………………………………35
Figure 13. Insulin release for different concentrations at 37 oC…………………..38
Figure 14. SE SEM images of INP using 4800 FESEM with different magnitude, same working distance 9.0mm and AV was 5 kv. A. 70k B. 80k C.110k………..40
Figure 15. Myoglobin drug release for different concentrations at 37 oC…..……41
2
Figure 16. X-ray crystallographic structure of Trypsin (Kühne,1976)……....…..46
Figure 17. Storage time of a laccase-modified paper is enhanced (Rochefort, 2013)…………………………………………………………………………………….47
Figure 18. Eadie-Hofstee plot…………………………………………………...……51
Figure 19. Table Top Schematic of Lab Workspace…………………..………..…52
Figure 20. Kinetics data for different concentration of trypsin and a constant substrate concentration ………………………………………………………...…….53
Figure 21. Absorbance kinetic activity of released from encapsulated enzyme system ………………….………………………………………………………...…….55
Figure 22. Trypsin release behavior from PLGA nanoparticle…………….……...55
Figure 23. Kinetics of samples that were took after releasing study …………….56
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Abstract
Insulin, a relatively low molecular weight protein has been used for decades in
the treatment of diabetes; it has well-defined properties and delivery
requirements. Due to the current increase of diabetes in the world improved
insulin delivery systems could significantly influence the treatment of diabetes
and the quality of life of the affected people.
The main objective of this work was to encapsulate insulin in polymer
nanoparticles of Poly (DL-Lactic-Co-Glycolic Acid) (PLGA) and poly vinyl alcohol
(PVA). Preliminary results of these functional therapeutic nanoparticles prepared
with PVA and PLGA by using a double emulsion method (water/oil/water) were
obtained in terms of encapsulation efficiency and effective insulin release frm the
nanoparticles. Assessing the bioactivity of insulin once encapsulated and
released is not trivial, thus an indirect protein assay was developed to effectively
and easily assess the activity of proteins going through these processes. Trypsin,
a proteolitic enzyme was used as model protein to investigate the biological
activity of encapsulated and released biomolecules. The activity of trypsin
towards a synthetic substrate, DL-BAPNA was used to measure the enzyme
kinetics and activity before encapsulation, while encapsulated and after the
enzyme was released from the nanoparticles. Results show that the enzyme
maintained substantial activity while encapsulated and after its release It is
anticipated that the biological activity after being released from the nanoparticles
will remain biologically active, however, biological assays remain to be performed
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to corroborate this argument. In addition to release experiments with trypsin and
insulin, other proteins were also studied. In all cases the release form the
nanoparticles at 37 oC exhibited a three stage release process, The release
process will be modeled according to developed mathematical models that
consider initial burst of molecules, degradation of polymer and diffusion of
molecules from the nanoparticles.
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CHAPTER 1. INTRODUCTION
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1.1 Nanotechnology in therapeutics
Nanotechnology is considered now a traditional and relevant multidisciplinary
practical field that includes the engineering of nanoobjects or nanotools of <500
nanometers in size (Cuenca et al., 2006). The understanding of nanotechnology
values has been consistently growing and has been accepted as a form of
control in the construction of matter among atoms and molecules at the
nanoscale. This understanding has been used to produce exclusive nanoscale
systems, and to propose new and enhanced materials for many different
applications. One of those applications is the use of nanotechnology in
therapeutics, where one of the most important applications is associated to
diabetes research. The curiosity and importance of the research in nanomedicine
has received immense attention driven by the need to find new and effective
approaches to solve major public health problems, like diabetes, cancer,
cardiovascular and infectious diseases. Nanomedicine is related to the
application of nanodevices and tools in the action and analysis of many different
diseases. The different nanodevices, for example in drug delivery for diabetic
therapy, are designed principally from polymeric systems (Cuenca et al., 2006; Z.
Liu et al., 2010). These materials could be structured to perform a specific activity
or activities, and also to contain explicit characteristics.
1.2 Nanoparticles in medicine
Nano technology has been used in medical fields over decades and as of now it
is called nanomedicine. In 2006, the European Science and Technology
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Observatory showed that more than 150 companies are using nano technology
in nanoscale therapeutics, and around 24 applications have been approved to be
used in clinics with total exceeding sales of $5.4 billion (L. Zhang, 2006).
According to king Abdullah center for science and technology, nanotechnology
helped in medical field to disease prevention, diagnosis and treatment of medical
rules. Nowadays, we live in a nanoparticles medical technology era, where the
progress of nanotechnology, for example, could provide new ways to carry
medicine inside the human body (nano-carriers) and be able to target different
cells in the body. Nanotechnology techniques could image the body's cells as
easily as if we take now a common image. Nanomedicine could use many kinds
of nanoparticles in medical applications so that they work as carriers of drug or
tools for imaging inside the body. In Therapy applications, for example, gold
nanoparticles can be used to destroy cancer cells, the total diameter of these
nanoparticles is about 120 nm, a smaller than the size of the cancer cell by 170
times. Target therapy involves specific ligands attached to gold nanoparticles
such that they attach specifically to cancer cells, and then when exposed to a
NIR laser beam the heated gold produces a temperature increase which leads to
the burning of those cells and death. The advantage of this method is its potential
accuracythus decreasing the risk to damage healthy cells. One promising
medical applications of nanotechnology is to use of polymer nano-fibers to make
prosthetics blood vessels and recently applications have been proposed to
produce prosthesis devices made of nanoscale protein fibers in the central
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nervous system of the human person. Similar polymer nano-fiber are been used
in the treatment of burns and wounds and intervention in the cosmetics industry.
In imaging analysis injection of cadmium selenide nanoparticles (quantum dots)
within the body could accumulate within cancer cells selectively and after
exposure to a target region of ultraviolet light, the particles light up, helping to
determine the site of malignant cells and allowing the possible and effective
removal... Nano scale devices and nanotechnology can potentially offer many
platforms to develop artificial bones and tissues. Nanotechnology could play a
big role in improving tissue engineering and cell therapy for many biomedical
applications. . There are attempts in the literature to use silicon nanocapsules
that could work to stop the body's immune system that recognize foreign cells,
while these capsules could block antibodies produced by the body's immune
system while they launch oa sufficient amount of insulin with the capsules
nanoparticles in the blood.
1.3 Drug Delivery
The delivery of drugs and other therapeutic compounds is a subject of extensive
attention because of the different applications in health-related issues. The
universal market for progressive drug delivery systems is projected to approach
$175.6 billion by 2016, this is a rise of $44 billion over the 2010 market (Santini,
2013). The objective of drug delivery is to provide the accurate amount of drug in
the right place, at the right time and for the right length. Although a development
in the suitability of drug administration is wanted, it cannot come at the expense
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of security or efficacy (Santini, 2013). The approaches of drug delivery are
diverse, from oral, transdermal, pulmonary, implantable, etc. From all the
approaches of drug delivery, nanoformulations are the ones that have received
more consideration in the last years. Appropriately engineered nanoformulations
as drug transporters (nanocarriers) can rise the contact of cells/tissues/tumors to
therapeutic agents. This can result in improved action effects by prolonging
circulation times, protecting entrapped drugs from degradation, and enhancing
tumor acceptance through the enhanced penetrability and retention effect as well
as receptor-mediated endocytosis. Several therapeutic agents such as
chemotherapy, antiangiogenic, or gene therapy agents can be simultaneously
encapsulated and transported by nanocarriers to tumor sites to enhance the
effectiveness of therapy and as such have received generalized attention (Peer
et al., 2007; Shi et al., 2010). These nanosystems could be tuned to offer several
advantages over free drugs, for example, they could protect the drug from
undesired interactions with other organic tissues, as well as target exact tissues,
increasing the desired contacts. In addition, by using nanosystems for drug
delivery, the drug release from the matrix could be effectively controlled to deliver
only needed amount of drug (Danhier et al., 2012; Makadia and S. J. Siegel,
2011; Mu and Feng, 2003; Peer et al., 2007). The nanosystems should also meet
numerous features, for example, they should be made from biocompatible and
biodegradable resources and processing should not be a difficult task (Mu and
Feng, 2003; Peer et al., 2007). Polymeric nanoparticles are defined as nanoscale
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drug delivery platforms exemplified by biodegradable polymers, dendrimers, and
micelles (Zolnik et al., 2010). Several polymers can be used to produce
polymeric nanoparticles include: poly(amides), poly(amino acids), poly(esters),
poly(ortho esters), poly(urethanes), and poly(acrylamides), etc. (Jain, 2000). A
summary of pharmaceutically used polymers with respect to their
physicochemical features and factors moving drug delivery capabilities, as well
as the essential drug delivery systems are stated in the literature (Jain, 2000;
Khandare and Haag, 2010; Liechty et al., 2010; Moghimi et al., 2001; Parveen
and Sahoo, 2008). Among the materials used in drug delivery, one of the most
effective is the poly(ester): poly-d,l-lactide-co-glycolide (PLGA), which shows
immense potential as a drug delivery carrier and as support for tissue
engineering (Danhier et al., 2012; Makadia and S. J. Siegel, 2011). PLGA is one
of the most used biodegradable polymers for the development of nanomedicines
because it undergoes hydrolysis in the body to produce the biodegradable
metabolite monomers, lactic acid and glycolic acid, which at the same time are
biodegraded to CO2 and water (Danhier et al., 2012; Jain, 2000; Kumari et al.,
2010). Depending of the ratio of these monomers, PLGA will show different
biodegradation rates, structural and mechanical properties (Danhier et al., 2012;
Jain, 2000). Another benefit of PLGA is that it covers a large number of
reachable carboxyl groups that allow their easy functionalization with other
molecules prior and after nanoparticle preparation. Additionally, PLGA is an
accepted polymer by the Food and Drug Administration (FDA), and the European
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Medicine Agency (EMA) and as such is already used in a host of therapeutic
devices due to their biodegradability and biocompatibility (Danhier et al., 2012;
Parveen and Sahoo, 2008).
PLGA nanoparticles have been prepared by several methods, the most common
procedure is the emulsification–solvent evaporation technique (Danhier et al.,
2012; Grazia Cascone et al., 2002; Jain, 2000; J. Yang et al., 2007). However,
other approaches are also applied, like emulsification-solvent diffusion (Hideki
Murakami et al., 2000; Sahana et al., 2008), nanoprecipitation (Chorny et al.,
2002; Dhar et al., 2008), etc. Practically, any hydrophobic or hydrophilic drug
could be measured for encapsulation into polymeric nanoparticles. The
encapsulation of cytotoxic chemotherapeutic agents in biodegradable PLGA
nanoparticles may offer advantages over other delivery systems, including
liposomes (Jason Park et al., 2009). Several anticancer drugs and other different
compounds have been encapsulated into PLGA nanoparticles using these
methods for the synthesis of nanoparticles. For example, paclitaxel, doxorubicin,
5-fluorouracil, 9-nitrocamptothecin, cisplatin, triptorelin, dexamethasone, etc.,
have been successfully encapsulated on PLGA nanoparticles (Kumari et al.,
2010).
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1.4 Mathematical modeling of drug release from biodegradable
nanoparticles
The drug release from biodegradable nanoparticles is a difficult problem that
contains many issues, for instance the temperature, the size and shape, the
molecular weight, pH, the dissolution of oligomers inside the matrix, the drug
solubility, amount and location of the drug, drug-drug interactions, polymer-drug
interactions, etc. For example, the trial release of doxorubicin at different
temperatures from poly(N-isopropylacrylamide-acrylamide-allylamine)-coated
magnetic nanoparticles showed that temperature shows a important part by
growing the release rate with a temperature increase (Rahimi et al., 2010). In the
same regard, the degradation rate of PLGA microspheres was found to rise with
a rise in incubation temperature (Dunne et al., 2000). As temperature, other
many aspects that disturb the drug release has been examined in the literature,
but in general there are only three possible behaviors for drug molecules to be
released from a PLGA-based drug delivery systems: (i) transport through water-
filled pores, (ii) transport through the polymer, and (iii) release due to dissolution
of the encapsulating polymer (which does not require drug transport)
(Fredenberg et al., 2011). The usual shapes of release found from PLGA
nanoparticles rely on all the factors stated above, and could hold one, two or
three phases of release, but frequently at least a biphasic behavior is observed.
These phases of release are straight connected to the three ways mentioned
above for drug molecules to be released from PLGA-based drug delivery
13
systems. The transport though water-filled pores could be defined essentially by
diffusion through the nanoparticle, but also it is related to an initial drug burst
release, a process of interfacial diffusion between the solid sphere surface and
the liquid media, such that the drug release rate is considered relative to the
difference between the concentration of drug in the sphere most external polymer
layers, and the concentration of drug in the close to liquid media at the time of
investigation. This phenomenon is also the result of other issues such as the
concentration of drug on the surface, the surface area, the interphase properties,
the solubility of the drug, and the electrostatic interactions between the drug and
the solid polymer matrix.
The nanoparticle degradation – relaxation phenomenon is related to the
degradation by hydrolysis of the PLGA in the aqueous solution. In this stage, the
nanoparticle interphase with the liquid is the first portion exposed to hydrolysis,
and is related to the surface area, and the molecular weight of the polymer.
Initially, the nanoparticle is organized in a very compact way. As time increases,
the polymer in the nanoparticle surface is disjointed in small oligomers by
degradation, promoting water penetration, and consequently nanoparticle
relaxation. Previous work demonstrates that a linear relationship between the
degradation rate and the particle size exists, with the larger particles degrading
the fastest; this is explained in the sense that larger particles have to deal with
longer paths of diffusion of its oligomers to reach the surface of the particle
compared to small particles (Dunne et al., 2000). As the degradation continues
14
from the nanoparticle surface, new paths for water penetration are created. At
this point, the degradation of the nanoparticle could follow two simultaneous
routes, one reducing the radius of the nanoparticle, and the other one increasing
the porosity of the nanoparticle. As the porosity increases, the nanoparticle gets
more relaxed by the water penetration and the hydrolysis now could continue in
several directions simultaneously. The PLGA nanoparticle degradation –
relaxation effects over the drug release has been explained with a first order
equation for the change in the molecular weight of the polymer with respect to
time (Deng et al., 2008; Mohammad and Reineke, 2013), and also by using a
drug release a relationship known as the Prout-Tompkins equation (Dunne et al.,
2000; Fitzgerald and O. I. Corrigan, 1993), which was initially introduced to
describe the thermal decomposition of potassium permanganate (Prout and
Tompkins, 1944). Drug release kinetics from biodegradable devices have been
described in the literature by combining and using different mechanisms of
release (Fredenberg et al., 2011; Lao et al., 2011). Mathematical models of drug
release include processes that consider first order rates for the initial burst
release combined with a second stage that considers bulk degradation of the
polymer in microparticles (Gallagher and O. I. Corrigan, 2000) and nanoparticles
(Owen I. Corrigan and Xue Li, 2009). In these particular cases the bulk
degradation of the polymer was considered by using also the Prout-Tompkins
equation (Fitzgerald and O. I. Corrigan, 1993; Prout and Tompkins, 1944). In
other mathematical models reported in the literature, the mechanisms of release
15
involve a combination of first order rate initial burst with diffusion of the drug
through polymeric microspheres (Batycky et al., 1997; He et al., 2005; Raman et
al., 2005). Other more complex models of release from biodegradable polymeric
microspheres consider three mechanisms: drug diffusion, drug dissolution, and
polymer erosion and are described by three equations that consider drug
concentration in the liquid phase, a virtual solid phase, and an effective solid
phase (M. Zhang et al., 2003). Similar complex systems model the entire drug
release profile as the summation of the three mechanisms: first order burst
release, first order bulk degradation of the polymer, and diffusional release, but in
consecutive time periods for each release stage (Lao et al., 2009). The work in
this thesis describes the use and adaptation of a mathematical model that
incorporates the simultaneous contribution of three phases of controlled release
and used to effectively describe the release of insulin, myoglobin and trypsin
(Lucero-Acuna, 2013).
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1.5 Insulin and Diabetes
Insulin is a hormone protein, it consists of 51 amino acids divided into two series
A and B combine them bridges of sulfur, and has molecular weight of 5808 Da.
The Canadian physician Frederick Banting along with medical student Charles H.
Best, isolated insulin from pancreatic extracts of dogs in 1921 at the University of
Toronto in Canada. Banting together with the Scotish physiologist J.J.R. Macleod
were awarded the Nobel Prize in medicine in 1923 for this discovery. In 1969, the
crystal structure of insulin was determined by Dorothy Hodgkin, who was
awarded in 1964 the Nobel Prize in Chemistry.
Insulin is produced by the beta cells in pancreas of Langerhans cells and then
pass directly into the bloodstream to affect the target cells of the liver and muscle
cells and other cells where regulates build of carbohydrates from sugar and
starch. It helps to regulate sugar level in our bodies (100-140 mg/dL). When
regulating the insulin fails by itself, then the patient needs to get insulin for the
treatment. As a consequence, insulin is used to treat some type of diabetes
Figure 1. Computer-generated image of six insulin molecules assembled in a hexamer (Kyriakou, 1994)
17
which is called type 1. People with diabetes do not have enough insulin or suffer
from lack of it (Type 2) entirely must calculate doses of insulin every day.
Injection of insulin is administered under the skin and cannot be taken by mouth
because the stomach juices may digest it. Therefore, these people will use
insulin injections to allow their bodies to use the glucose and to avoid
hyperglycemia, high blood sugar.
How is insulin secreted from the pancreas?
Insulin is concealed from the human pancreas and its discharge is mainly
activated when large concentrations of glucose are sensed in the blood after a
meal. Its leading role is thus the uptake of glucose by increasing the rate of the
glycolytic pathway - the process where glucose is transformed to other
carbohydrates that are used in the urea cycle or for fatty-acids metabolism.
Glucose initially arrives the β-pancreatic cells by the help of carriers known as
GLUT 2 that transport the sugar crossways the cell film, so the act of glucose
appears to be accountable for most of the following changes assumed. At the
opening, a rise in the ATP/ADP ratio is detected (Hales, 1984), the energy
currency involved in all metabolic pathways. This rise selectively touches ATP-
sensitive K+ ion channels by closing them and thus preventing K+ passage
crossways the cell film (Figure 2). This reduces the charge difference that
already exists between inner and outer membrane - the effect known as
depolarization. In the meantime, a growing electrical conductivity is detected;
lashing the opening of voltage-sensitive calcium-ion channels (Hales, 1984) the
18
opening of this channel lets the entrance of Ca2+ ions into the membrane which
originally bind certain proteins such as calmodulins or synaptotagmins. As a
result, this pushes the densely packed vesicles of insulin to open and issue
insulin by evolving over the membrane of the β-pancreatic cells.
How does insulin work?
There are three main spots reflect the insulin's activities, which are the liver,
muscle and adipose tissue. After eating food, the insulin activity starts its action.
However, on starving, glucagon is active instead of insulin. The insulin is
responsible to raise the rate of glucose oxidation in the liver; at the same time the
glucose concentration is converted into glycogen, the form in which glucose can
be stored in the body (Espinal, 1989). These procedures are reinforced by a
growth in the number of glucose transporters to the skin of membranes which
have an important role, as described above, as well as by a diversity of
Figure 2. The insulin secretion mechanism in detail (Novak, 2008)
19
phosphorylation and dephosphorylation procedures (Figure 3 ) for activation and
deactivation of enzymes (biological catalysts).
In order for an enzyme to be phosphorylated, a PO3-2 group is donated to by
adenosine triphosphate, ATP. Finally, the opposite procedure in the liver,
gluconeogenesis, is inhibited because of glucose oxidation is stimulated by
insulin.
At low carbohydrate concentrations, fatty-acid breakdown in the liver is
decreased, whereas synthesis is enabled since triacylglycerols in the adipose
tissue are transformed to long chain fatty acids. This is preferred due to the
larger availability of the responsible synthesizing enzyme, lipoprotein lipase
(Kelly, 1992). Finally, secondary actions of insulin include stimulation of protein
synthesis (Kelly, 1992) as well as increased blood flow, vasodilatation, and
hypotension (Scherrer, 1999).
All the insulin activities are done by insulin receptors, recognized as tyrosine
kinase receptors. These are 2-subunit receptors and consist of both an
extracellular domain for insulin to bind as a ligand as well as an intracellular part,
insulin protein kinase (Siddle, 1992) where all phosphorylation events occur.
Figure 3. The reactions of phosphorylation and dephosphorylation of enzymes, part of almost all biological
processes. E=enzyme, P = phosphate (Espinal, 1989)
20
Such as most of polypeptide hormones, upon binding, conformational changes
are undertaken on the two subunits and a sequence of phosphorylation actions
advance through, leading to more of the activities hormones perform (figure 4 )
In addition, all of these activities and gesturing paths are attended by the creation
of second messengers such as cyclic adenosine phosphate, cAMP. Second
messengers are molecules that scatter material everywhere around tissues. The
reduction in the concentration of cAMP is the reason for insulin's activities and
this is because of insulin overpowering the precursor molecule, adenylate
cyclase, from which the second messenger is synthesized (Kuznetsova, 2003).
There are two types of insulin to treat diabetes, human insulin and Insulin
analogue, which are manufactured industrially. In fact, most types of insulin
available concentrations are dosage forms of 100 units / ml. Insulin is divided into
five types of insulin; this division depends on how fast is its effectiveness in the
body after injection:
Figure 4. The tyrosine kinase receptor indicating the external and internal sites it consists of, as well as the
conformational changes undertaken. (Siddle, 1992)
21
1. Very fast-acting insulin in the cells (immediate).
2. Fast-acting insulin (regular).
3. Average insulin effect.
4. Slow-acting insulin (long-term).
5. Mixed insulin, another type consists of the installation of the previous
types of insulin at different rates to provide fast and long-acting effect at
the same time.
Nowadays, there are many ways to treat diabetes but none of them are as
effective as injections. The injections allow sending the insulin directly to the
bloodstream by taking it under the skin. However, more than 50% of patients who
use insulin find the injections harmful because sometimes the place of injection in
the body is hardened and can causes bleeding most of the time. Moreover,
insulin injections are very expensive and many people die because they cannot
afford to buy it, since many people need more than one injection a day as you
will see in the survey results shown below.
22
In the first chart, you can see that people take more than 4 injections during 1
day, which is of course overwhelming and more hurtful. Also, it is obvious that
many people prefer to take the insulin orally if available, which in principle might
be more convenient and less harmful than injections and of course it should be
cheaper and more affordable by everybody.
Development of Diabetes
The insulin produced by the pancreas is the primary hormone that regulates the
transfer of glucose from the blood to most of the body's cells, especially muscle
cells and fat cells, but not transmitted to the central nervous system cells.
Therefore insulin deficiency leads the body's response to any style of diabetic
patterns. Most of the carbohydrates in the food shift to single-glucose within a
few hours. This mono glucose is the main carbohydrate in the blood which is
used as fuel in the cells. Insulin is secreted into the blood by beta cells in the
pancreas Langerhans Islands in response to high blood glucose levels after
consuming foods. Insulin is used about two-thirds of the body's cells to absorb
glucose from the blood or for use as fuel for a cell manufacturing operations
Figure 5. Total number of injections per day for 300 patients:
40% more than 4. 20.1% 3 injections. 34.7 2 injections. Other
only one injection
Figure 6. When I asked the patients if they prefer to take the
insulin orally or by injections and it appears that 80.5%
prefer to take the medicine orally instead of injections
23
needed to produce other molecules or for storage. Also, it is the main indicator of
insulin to convert glucose into glycogen for storage in the liver or muscle cells.
And low levels of glucose leads to reduction of insulin secretion from Beta cells
and to reverse the conversion to glycogen, who works in the opposite direction to
insulin. Thus retrieves glucose from the liver into the blood; while lacking the
muscle cells convert the stored glycogen into glucose mechanism. Increased
insulin levels lead to increase construction in the body, such as cell growth,
protein synthesis and storage of fat. Insulin is the main indicator to turn the
direction of many metabolic processes bidirectional from demolition to
construction and vice versa. When the blood glucose level is low, it stimulates
the burning of body fat. If the amount of insulin available is not sufficient, the cells
response is weak to insulin (resistance or immunity against insulin), patients will
not properly absorb glucose from the body cells. Thus, the final result is a
continued high level of blood glucose, protein synthesis and the weakness of
some metabolic disorders such as blood acidification.
24
Diagnosed Type I and many cases of Type II diabetes based on the initial
symptoms that appear at the beginning of the disease, such as frequent urination
and excessive thirst which accompanied by loss of weight, and these symptoms
usually evolve over days and weeks. Diabetes is marked by discontinuous or
persistent high blood glucose can be inferred by one of the following values:
1. Measure the level of fasting blood glucose 126 mg / dL (7 mmol / L) or
higher.
2. Measuring the level of blood glucose 200 mg / dl (11.1 mmol / L) or higher
after two hours of eating 75 grams of glucose as follows in the glucose
tolerance test.
3. Random measurement of blood glucose level of 200 mg / dL (11.1 mmol /
L) or higher.
Figure 7. Insulin secretions in B cells and natural mechanism. Insulin is produced at a rate of more or less constant
regardless of blood glucose levels. and stores inside the gaps to prepare for excretion by the cell output. (Novak, 2008)
25
Chronic complications of insulin insufficiency
Figure 8. Organs affected by diabetes (Diabetes association in US)
One of the most relevant problems encounter by diabetic patients is to get
acidification diabetic ketoacidosis blood, a dangerous condition to have. The lack
of insulin to the liver converts fat into ketone bodies used by the brain as fuel. But
high levels of ketone bodies lead to the low pH of the blood which causes most of
the symptoms of the occurrence of acidification blood ketoacidosis. Also, chronic
increase of blood glucose leads to damage of blood vessels which may cause
blindness. In many cases, people cannot afford to buy the medicine and die
irremediably
According to the diabetes association in the United States, risk of death for
people with diabetes is 50% higher than for people without it. This is risky and
dangerous, and it is important to take action to reduce these statistics. Another
26
reason of death because of diabetes is the cost increase of health care for
diabetic patients. The stats showed that medical costs for people with diabetes
are twice higher than the people without it.
Diabetes around the world
In 2014, 9% of adults aged 18 years or more people with suffering from diabetes.
In 2012, diabetes was the direct cause of 1.5 million deaths. It has been found
that 80% of these deaths are in low- and middle-income countries. It is expected
that by the end of 2015, there will be 371 million people around the world with
diabetes, this is in fact a very large number and shows how serious this disease
is. According to these studies, insulin in the present preparations is still quite
expensive and not everybody can afford it. Thus, in this work and research the
goals are to contribute in the development of novel strategies for insulin delivery
platforms, such as oral delivery. (Diabetes association in the US).
27
Figure 9. Statistics about the number of people affected by diabetes around the world (Diabetes
association in US)
28
Methodologies for Insulin delivery
Figure 10. Alternative routes for the delivery of insulin (Owens, 2002).
Figure 10 shows that there are numerous options of routes for the delivery of
insulin into cells. The pneumonic route may be the first of these to be utilized for
clinical consideration of insulin-requiring patients with diabetes. Different
alternatives for the delivery of insulin incorporate b | entire organ pancreas
transplantation, or c | transplantation of segregated islet cells or hereditarily
adjusted undifferentiated organisms. Different routes for the delivery of insulin
incorporate nasal, oral–gastrointestinal, buccal, rectal, vaginal, uterus, visual and
dermal (Owens, 2002).
The electronic age is helping advance the treatment of diabetes, and this is vital
in light of the fact that the difficulties of diabetes stay regardless of the
accessibility of successful remedial systems for delivery of insulin. These
29
improvements concentrate on the need to convey precisely timed and estimated
measurements for anticipated blood glucose levels (Taylor and Shota, 2012).
Electronic sensors and pump systems are very much considered to as far as
business configuration and clinical studies for this type of closed circle. New
innovations could overcome sensor related and transport problems to coordinate
insulin release with blood glucose amounts that so far may be unsafe and where
different methodologies could alleviate these issues. Effective systems may rise
up out of artificially controlled storage configuration, for example, the preparation
of glucose delicate film controlled through gated pores or by hydrogel that
adjustments as far as its porousness to release insulin as a response to the
presence of glucose (Tanna S, 2006; Zhang R, 2006; Taylor and Shota, 2012).
Figure 11. Summary of the alternative insulin delivery products being developed (Taylor and Shota, 2012).
30
1.6 Thesis description
In this research, following new trends in the nanoparticle encapsulation of insulin,
polymer nanoparticles of Poly(DL-Lactic-Co-Glycolic Acid) (PLGA) and poly vinyl
alcohol (PVA) were used to encapsulate insulin. The appeal of using this polymer
is that the surface can be modified with a large number of ligands and antibodies
that can be used to target specific areas in the epithelial gastrointestinal and thus
make it able to cross this barrier. Preliminary results of these functional
therapeutic nanoparticles prepared with PVA and PLGA by using a double
emulsion method (water/oil/water) are presented. Since the effective activity of
insulin once encapsulated and released is difficult to accomplish in a simple form,
an enzymatic approach to assess activity of biomolecules after encapsulation
and release was applied in this work. The enzyme trypsin was used as a tool to
assess biological activity of biomolecules by measuring its enzymatic activity
before encapsulation, during encapsulation and after its release from
nanoparticles.
31
CHAPTER 2. NANOPARTICLES OF PLGA WITH
ENCAPSULATED INSULIN FOR ORAL
CONTROLLED RELEASE FOR DIABETES
TREATMENT
32
2.1 Abstract
In this chapter, it is described the encapsulation of insulin in nanoparticles of
PLGA and PVA and its release behavior at 37oF using a double emulsion
method. Nanoparticles were prepared with a blend of the biodegradable polymer
(PLGA) and poly vinyl alcohol (PVA). Nanoparticles containing insulin once
prepared were characterized with SEM after purification with centrifugation and
lyophilization. Release studies were performed simulating physiological pH and
temperature conditions. It was observed that following this procedure, insulin was
effectively encapsulated and released from the nanoparticles following expected
behavior from what is reported in the literature for encapsulated drugs. In
addition, myoglobin was also encapsulated and release studies were also
performed in this section, in order to corroborate the encapsulation and release
strategies. The results with myoglobin followed a similar path.
33
2.2 Introduction
While parenteral administration is the only way of insulin distribution; other ways
of administration (oral, nasal, rectal, pulmonary and ocular) have been widely
explored (Zinman, 2003). Among them, the oral way appears to be the most
suitable and physiological because insulin undertakes a principal hepatic
sidestep, thus justifiably the main outcome by preventing hepatic glucose
production. However, insulin is strongly degraded by proteolytic enzymes in the
gastrointestinal tract. In addition, the hormone does not absorb well after oral
administration. In order to avoid biodegradation and to increase its intestinal
absorption, insulin has been connected to antiproteases (Zhang, 2003),
hydrogels (Torjman, 2004), or shared with absorption enhancers such as
cyclodextrins (Chermak, 1994), bile salts (Plakogiannis, 2002) and surfactants
(Takada, 2002). In this chapter, nanoparticles were prepared according to the
double emulsion method mostly used for encapsulation of peptides, proteins and
hydrophilic drugs.
34
2.3 Preparation of Nanoparticles
2.3.1 Materials:
Insulin from bovine pancreas and myoglobin from equine heart were purchased
from Sigma-Aldrich. PLGA acid terminated (50/50 DL-lactide/glycolide
copolymer, IV midpoint 0.2 dl/g) was purchased from Purac Biomaterials,
Gorinchem, The Netherlands. PLGA with composition 50:50, acid terminated,
and a molecular weight of 7,000-17,000 a.m.u. was purchased from Sigma-
Aldrich, Inc. (Milwaukee, WI). Dichloromethane (CH2Cl2) was purchased from
Fisher Scientific Inc. (Fair Lawn, NJ)., and poly(vinyl alcohol) (PVA) with an
average molecular weight of ~31,000 a.m.u. and 86.7-88.7 mol% hydrolysis were
obtained from Sigma Aldrich, Inc. (St. Louis, MO). ADD SONICATOR AND
CENTRIFUGES INFORMATION
2.3.2 Methods
The preparation of nanoparticles was carried out by the multiple emulsion
technique described by Hoffart et al. 2002. Briefly, 2 mL of an aqueous solution
of insulin was first emulsified, by sonification for (4 minutes + 40% amplitude), in
DCM (10 mL), containing 60 mg of PLGA. The resulting water-in-oil emulsion
was thereafter poured into 25 mL of a polyvinyl alcohol aqueous solution (3%)
and sonicated for (3 minutes + 40% amplitude), involving the formation of the
second water-in-oil-in-water emulsion. After evaporation of DCM under reduced
pressure, the nanoparticles were separated and isolated by centrifugation
35
(50,000 rpm for 20 min). The nanoparticles were washed three times with
deionized water then centrifuged again and kept in suspension in water until use.
The nanoparticle preparations were lyophilized and stored until further analysis.
These lyophilized nanoparticles were used to carry out release studies under
physiological pH and temperature. The schematic representation of the methods
using double emulsion is shown in Figure 12.
Figure 12. Scheme of synthesis of Insulin loaded polymeric nanoparticles using a double
emulsification technique.
36
2.3.3 Nanoparticle size characterization
Nanoparticles were observed using a scanning electron microscope (Hitachi S-
4800 Field Emission Scanning Electron Microscope, Tokyo, Japan) from the
Spectroscopy and Imaging Facilities at the University of Arizona.
2.3.4 Insulin release studies
The release of insulin from the nanoparticles was determined using a buffer
solution and sodium azide. (Avgoustakis et al., 2002; Liang et al., 2011; Sahana
et al., 2008). Polymeric nanoparticles dispersed in 2.5 ml of 10 mM sodium
phosphate buffer pH 7.4 were placed in a tube, and incubated in 30 ml of the
same buffer at a temperature of 37 oC. At specific time intervals, 1 ml of samples
was withdrawn from the incubation medium and analyzed for the insulin. Each
volume withdrawn was replenished with 1 ml of 10 mM sodium phosphate buffer
pH 7.4 with sodium azide.
The concentration of insulin into the nanoparticles was determined by standard
calibration curves in 10 mM PBS buffer pH 7. Also, the drug loading was
determined as the mass ratio of drug entrapped in the nanoparticles to the mass
of nanoparticles recovered using the following formula (Lei et al., 2011):
100 %
amount of drug innanoparticlesDrug loading
amount of nanoparticlesobtained bythe process
(2.1)
37
The encapsulation efficiency (EE) is determined as the mass ratio of entrapped
drug in nanoparticles to the theoretical maximum loading, which is taken to be
the point where the entire supplied drug is encapsulated in the nanoparticles, this
is given in the following formula (Jason Park et al., 2009):
100 %
amount of drug per amount of nanoparticlesEE
amount of drug per amount of polymer used in formulation
(2.2)
38
2.4 Results and discussion
2.4.1 Insulin release studies
Insulin release studies with different concentrations of insulin loaded at 37 oC
were obtained and given in Figure 13. The release data follow characteristic
processes similar to release behavior of hydrophilic drugs, an initial burst
release, a slow release due to particle degradation and a third step characteristic
of diffusion transport. Thus a 3-stage mathematical model will be used to
correlate the insulin experimental release data. Myoglobin was studied in a
similar fashion as insulin to corroborate the encapsulation and release
experiments considering that myoglobin has a distinctive absorption maximum at
410 nanometers.
Figure 13. Insulin release for different concentrations at 37 oC
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
0 5 10 15 20
Co
nc.
of
Insu
lin
Time (hr)
Insulin release
39
The experimental results of insulin release shown in Figure 13 were followed for
up to 18 hours, where the different shapes of release can be clearly observed.
This short term drug release analysis suggests that in fact the nanoparticles with
the encapsulated insulin can be used effectively in the application of insulin as a
therapeutic delivery system. The release curves show that approximately 7% of
the drug is released within the first two hours, which means that the initial burst
mechanism plays a clearly defined role of controlled fast initial release. Based
on the experimental curve of release, after the initial burst stage, a slower
release similar to a lag phase is observed, where at this point, the polymer
degradation becomes more important and dominant in the release process due
to the degradation - relaxation of the nanoparticle. In the last stage of the
experimental curve of release, a plateau seems to appear, where the porosity of
the nanoparticle increases to a certain extent, and now the diffusion process
becomes the dominant mechanism of drug release. Based in these results, it is
evident that the three mechanisms should be considered to happen
simultaneously, however in each case, a rate controlling step appears evident.
2.4.2 Nanoparticle size characterization
After lyophilization the particles were coated and analyzed using the 4800
FESEM (Hitachi S-4800 Field Emission Scanning Electron Microscope).. The
views at different magnitude can be seen in Figure 14. For this analysis the same
working distance of 9 mm was used. At 110k shows clearly details of
nanoparticles. According to this analysis particles of this size will be perfect
40
platform for their use in insulin delivery systems. The surface appears to be quite
smooth and uniform making them suitable for surface modifications with
appropriate ligands.
2.4.3 Myoglobin release studies
The encapsulation and release studies with myoglobin followed similar trends as
the ones with insulin, as can be observed in Figure 15. The absorbance of
myoglobin was carried it out at 410 nanometers compared to absorbance of
insulin at 280 nanometers. This distinctive absorbance of this color protein will
help elucidate completion studies of both encapsulation and release of
biomolecules.
Figure 14. SEM images of INP using 4800 FESEM with different magnitudes, same working distance
9.0mm and AV was 5 kv. A. 70k B. 80k C.110k
41
Figure 15. Myoglobin release at different encapsulation concentrations all at 37 oC
2.5 Conclusions
PLGA nanoparticles were prepared effectively by an implemented emulsification
–solvent evaporation technique. The encapsulation of the proteins insulin and myoglobin
was carried out by double emulsification–solvent evaporation techniques. In both cases,
the encapsulation was apparently effective and the release behavior quite similar. A drug
release mathematical model that has been used to model hydrophobic small molecular
drugs will be implemented on the results for the proteins in this analysis, since
apparently the stages of release followed similar paths as the drugs used in the model.
In future work encapsulation and release studies will be performed with these two
proteins to assess competition or complementary behavior. The activity or
remaining biological activity of the proteins is at this point unknown since assays
to assess such activity are not trivial. To find out if the activity of the proteins
0
0.001
0.002
0.003
0.004
0.005
0.006
0 1 2 3 4 5 6
release
42
remains after encapsulation and release, trypsin a proteolitic enzyme was also
incorporated in nanoparticles and release studies were performed as well. The
details and results are presented in the following chapter of this thesis.
43
CHAPTER 3. NANOPARTICLES OF PLGA WITH
ENCAPSULATED TRYPSIN: KINETICS AND
ENZYME ACTIVITY
44
3.1 Abstract
The main objective of the work presented in this chapter was to determine the
activity of biomolecules subject to nanoencapsulation and release at
physiological conditions. The main idea is to relate the activity of an enzyme, in
this case trypsin, although indirectly, to the possible biological activity that insulin
or other proteins would have maintained after encapsulation in nanoparticles and
subject to a release process at physiological conditions. Trypsin was
encapsulated and released at the same conditions as insulin and myoglobin.
However, in this case, the enzymatic activity of trypsin towards a synthetic
substrate DL-BAPNA, was measured before encapsulation in free form and
standard curves were obtained at different enzyme concentrations. Kinetics of
substrate degradation were similarly performed after the enzyme was
encapsulated and after its release. Results show that the enzyme remained
active after the processes of encapsulation and release. This implies that the
process of double emulsion for the preparation of nanoparticles with
encapsulated proteins does not degrade or affects considerably the biological
activity of such biomolecules. The activity results from these studies will provide
an indirect assessment of the state of biological activity of the insulin and
myoglobin used in this work.
45
3.2 Introduction
3.2.1 Model Enzyme-Trypsin
Trypsin is a peptidase enzyme that cleaves peptide bonds of proteins by
hydrolysis to form smaller peptides and amino acids. The optimum pH is 8 and
the optimum temperature is 37 ° C. It is a specific enzyme that binds the peptide
in positions carboxyl residue of arginine (Arg) or lysine (Lys) in the chain, both
positively charged amino acids (Kühne, 1976).
Trypsin is produced by the pancreas in the form of trypsinogen (inactivated
enzyme), and is then activated in the intestinal duodenum by enterokinase
trypsin (active enzyme) by proteolytic cleavage (Kühne, 1976).
3.2.2 Chemistry and function:
The enzymatic mechanism of trypsin is the same as other serine proteases: a
catalytic triad makes the nucleophilic serine in the active site. The enzyme
catalyzed reaction is thermodynamically favorable but has a high activation
energy (that is kinetically unfavorable). The aspartate residue (Asp 189) located
in the catalytic region (S1) of trypsins serves to attract and stabilize lysines and
arginines (both positively charged) and therefore it is the moiety responsible for
the specificity of the enzyme. The trypsin structure and active site is seen in
Figure 16. Trypsins are endopeptidases, that is, the enzymatic cut is performed
in the middle of the peptide chain rather than in the terminal residues of the same
(Otlewski, 2004). This mechanism of activation is very common among serine
proteases, and serves to prevent self-digestion in the pancreas. The trypsin
46
activity is not affected by the inhibitor fenil alanil clorometil cetona (TPCK), which
disables chymotrypsin. This is important because, in some applications, such as
in mass spectrometry, the specificity of the amino acid site cut is important
(Kühne,1976).
Figure 16. X-ray crystallographic structure of Trypsin (Kühne,1976).
3.2.3 Enzyme Encapsulation
Enzymes have been utilized all through mankind's history and today the their
applications as catalysts have a quite significant part in the heart of
biotechnology procedures (Rochefort, 2013).
47
Enzyme activity in solution in their natural environment can be assessed quite
easily if a chromophoric substrate is available. This is the case with the model
enzyme trypsin used in this work. The synthetic substrate DL-BAPNA, after
enzymatic cleavage releases a chromophoric moiety, o-nitro phenol which
absorbance can be measured at 420 nanometers. However, in all cases of
enzyme immobilization or encapsulation it is also important to assess enzyme
structure after encapsulation in light of the fact that if the enzyme structure is
modified, its activity might suffer significantly.
Figure 17 Storage time of a laccase-modified paper is enhanced (Rochefort, 2013).
48
In enzyme encapsulations commonly used with sol–gel encapsulation, the
enzymes are just physically caught, without covalent holding, inside of the
hydrophilic watery environment provided by the silica lattice. In this way most
proteins are not denatured by sol–gel exemplification and their synergist
properties are like that of their water-solvent partners. (Ghorbani and Jafari,
2013). Other systems of encapsulating enzymes is found in mesoporous silica
circles where the means of immobilization, is by gathering a natural/inorganic
nanocomposite shell on the molecule surface with high loadings, high enzymatic
movement and solidness, and insurance from proteolysis (Wang and Caruso,
2004).
49
3.3 Trypsin encapsulation in PLGA nano particles
3.3.1 Materials:
Trypsin from bovine pancreas was purchased from Sigma-Aldrich. PLGA acid
terminated (50/50 DL-lactide/glycolide copolymer, IV midpoint 0.2 dl/g) was
purchased from Purac Biomaterials, Gorinchem, The Netherlands. PLGA with
composition 50:50, acid terminated, and a molecular weight of 7,000-17,000
a.m.u. was purchased from Sigma-Aldrich, Inc. (Milwaukee, WI).
Dichloromethane (CH2Cl2) was purchased from Fisher Scientific Inc. (Fair Lawn,
NJ)., and poly(vinyl alcohol) (PVA) with an average molecular weight of ~31,000
a.m.u. and 86.7-88.7 mol% hydrolysis were obtained from Sigma Aldrich, Inc.
(St. Louis, MO).
3.3.2 Methods
The preparation of nanoparticles was carried out using the same technique for
the encapsulation of insulin and muoglobin, that is, the multiple emulsion
technique described by Hoffart et al., 2002. Briefly, 2 mL of an aqueous solution
of Trypsin was first emulsified, by sonification for (4 minutes + 40% amplitude), in
DCM (10 mL), containing 60 mg of PLGA. The resulting water-in-oil emulsion
was thereafter poured into 25 mL of a polyvinyl alcohol aqueous solution (3%)
and sonicated for (3 minutes + 40% amplitude), involving the formation of the
second water-in-oil-in-water emulsion. After evaporation of DCM under reduced
pressure, the nanoparticles were isolated by centrifugation (50,000 rpm for 20
50
min). The nanoparticles were washed three times with deionized water then
centrifuged again and kept in suspension in water until use. Because we need
our particles dry, we freeze them for 24 hours followed by lyophilization for
storage and further analysis.
3.3.3 Release studies
The release of trypsin from the nanoparticles was determined using Tris-buffer
solution and a substrate solution made of DL-BAPNA (obtained from Sigma-
Aldrich) (Avgoustakis et al., 2002; Liang et al., 2011; Sahana et al., 2008).
Polymeric nanoparticles dispersed in 20 ml of Tris-buffer with 2 ml of substrate
solution placed into a tube, 2ml samples were withdrawn from the incubation
medium and analyzed for the trypsin. Each volume withdrawn was returned to
the test tube in order to always obtain the correct enzyme activity.
3.3.4 Trypsin enzymatic activity studies
Determination of enzymatic activity upon nano particle encapsulation:
The enzyme activity of trypsin was obtained by determining the kinetic
parameters of the reaction using an spectrophotometric analysis performed for
the natural free enzyme preparations before encapsulation, during encapsulation
and after being released from the nanoparticles.
The analysis of enzyme activity follows, as is the case for trypsin in this work,
Michaelis - Menten behavior. The kinetics follows the equation
51
Where the variation of the parameters Vmax and KM help detemine the effective
enzyme activity. In future work this will provide a tool to determine quantitatively
(1) evidence of the effectiveness of encapsulation and (2) remaining biological
activity of biomolecules (enzymes or proteins). These results will help determine
indirectly the expected biological activity of insulin upon nanoencapsulation. Vmax
and KM can be obtained for example with the Eadie-Hofstee plot, schematically
showing here the parameter estimation values.
Figure 18. Eadie-Hofstee plot
3.4 Determination of Enzyme Kinetics
3.4.1 Materials
Tris-hydroxymethyl-aminomethane (tris) as the working buffer. Prepared by
dissolving 3.03 gr of tris in 450 ml of DI water, adjust the pH to 8.1 with 3 N HCl
and dilute to 500 ml DI water. The substrate , Nα-Benzoyl-DL-arginine-p-
nitroanilide (DL-BAPNA) was prepared by dissolving 43.5 mg of DL-BAPNA in 10
52
ml of DMSO (Dimethyl Sulfoxide), since it is not quite soluble in water . The
enzyme solution was prepared by dissolving 2.4 mg of trypsin in 10 ml of tris-HCl
buffer, the stock solution.
3.4.2 Methods
Pipette to the reference cell of spectrophotometer 2.5 ml of buffer. To the sample
cell add an aliquot of the substrate solution (250 µl) and dilute with buffer to 2.4
ml. Then, zero the spectrophotometer at 410 nm, and at 25 oC. At this point in
time, add 100 µl of the enzyme solution (Trypsin) to sample cell and at time equal
zero start measuring the increase in absorbance. Repeat these steps for each
100 µl increments of enzyme solution. The working environment is shown
schematically in Figure 19.
Figure 19. Table Top Schematic of Lab Workspace
53
3.5 Results and discussion
3.5.1 Determination of enzyme kinetics
Standard enzyme kinetic curves were obtained at different enzyme
concentrations from a range of 0.25 to 1 mg/ml, and at a constant substrate
concentration. The results are plot in Figure 20. This standard curve will provide
the evidence of enzyme activity for the encapsulated enzyme and for the kinetics
after enzyme release from nanoparticles.
Figure 20 kinetics data for different concentration of trypsin and a constant substrate concentration
3.5.2 Release studies
Released studies were performed in duplicate. First, tris-buffer solution was
added to the particles using the substrate DL-BAPNA and started measuring the
0
0.5
1
1.5
2
2.5
3
3.5
0 5 10 15 20 25 30 35
Ab
sorb
ance
at
41
0
Time (min)
0.25 mg/ml
0.5 mg/ml
0.125 mg/ml
0.0625 mg/ml
0.03125 mg/ml
1 mg/ml
54
absorbance from time equal zero. Samples were taken at different time intervals
and the absorbance measured at 410 nanometers. The sample aliquotes were
returned to the reaction vessel. The process was repeated several times to
measure the activity of the enzyme after encapsulation, that is, while the enzyme
was encapsulated. Similarly, enzyme kinetics was performed after enzyme
release studies where the enzyme was measured at different time intervals upon
release. The results were compared with the enzyme kinetics standard curves
previously prepared. The activity of the enzyme while in the nanoparticles
(encapsulated) was compared with the standard curves. Results show that in fact
the enzyme remains active while encapsulated, this based on the conversion of
substrate added to the reaction vessel, before the enzyme release process.
The enzyme kinetics analysis of the time released enzyme was quantitatively
measured and the results are shown in Figure 21. The values for the kinetics
were taken from the released enzyme aliquots obtained in Figure 22 every hour.
The resulting or enzyme recovery activity after encapsulation and released gave
values corresponding to enzyme concentrations between 0.25 and 0.5 mg/ml.
55
Figure 21. Absorbance kinetic activity of released from encapsulated enzyme system.
Figure 22 Trypsin release behavior from PLGA nanoparticles
From the results shown in Figure 22, it appears that the process of release
behavior is quite similar to the result for insulin and myoglobin described in the
previous chapter. One aspect noticeable is the rates of release suggesting that
0
0.5
1
1.5
2
2.5
3
3.5
4
0 50 100 150 200
abso
rban
ce a
t 4
10
Time (min)
Enzyme release after 150 minutes
0.25 mg/ml
0.5 mg/ml
conc. of trypsin afterdrug release
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
0.045
0.05
0 5 10 15 20
con
c. o
f tr
ypsi
n
Time (hr)
Trypsin release
56
the size of the protein influences the release of the biomolecules. Further studies
will be performed to assess this important aspect.
The kinetics for each sample was followed for 30 minutes at 410, using a
Shimadzu spectrophotometer, and the results are given in Figure 23. According
to the calibration curve (Figure 20), the results show that in fact that the
concentration of trypsin released from the particles is between 0.5 and 0.25
mg/ml.
Figure 24 Kinetics of samples that were took after releasing study
0
0.2
0.4
0.6
0.8
1
1.2
1.4
0 5 10 15 20 25 30 35
Ab
sorb
ance
at
41
0
Time (min)
kinetics of trypsin after releasing study
After 1 hr
After 2 hrs
After 3 hrs
After 4 hrs
After 5 hrs
After 18 hrs
57
3.6 Conclusions
PLGA nanoparticles were prepared effectively by an implemented emulsification
–solvent evaporation technique using PLGA and PVA with concentration of 3%. The
encapsulation of the enzyme trypsin was carried out successfully and the enzymatic
activity after encapsulation and after released from the nanoparticles is present at
substantial levels of activity. These results represent a relevant finding since one can
anticipate that the behavior of other biomolecules such as insulin and other relevant
hormones or proteins could behave in a similar fashion. Further work will be performed
with other proteins and with different biological assays.
58
CHAPTER 4. Conclusions
59
4. Conclusions and future work
In this research a variety of nanoparticle drug delivery systems were synthesized
and characterized using as a biodegradable matrix carrier poly(lactic-co-glycolic
acid) (PLGA), and polyvinyl alcohol (PVA). PLGA nanoparticles were prepared
effectively by an implemented emulsification –solvent evaporation technique and
the formulation parameters effects over the nanoparticle properties were
investigated. The encapsulation of proteins such as insulin, myoglobin, and
trypsin, was effectively performed into polymeric nanoparticles using this
process.
In all the cases, the release behavior appears to follow a three stage release
process, similar to the behavior of small drugs. A mathematical model used for
anticancer drugs seems to correlate, at least qualitatively to the processes
observed in this work.
Since the biological activity of insulin, the main hormone protein in this work is
difficult to obtain, an enzymatic analysis was performed by measuring the
enzymatic activity of the enzyme trypsin during the encapsulation process and
after released from nanoparticles. The results show that in fact, one can measure
the activity of the biomolecule following this approach and proved that substantial
activity remains in the enzyme after going through the process of encapsulation
and release. This result also provides confidence that other many biomolecules
could behave in a similar fashion.
60
Future biomolecule encapsulation and release studies will involve measuring the
activity of the biological insulin after encapsulation. Future work will involve
modification of the polymer PLGA or other polymers to obtain targeted
nanoparticles with encapsulated biomolecules for effective targeted and
controlled delivery of pharmaceuticals and for materials for diagnostics and
therapy.
.
61
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