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CHAPTER 1
LITERATURE REVIEW AND OVERALL HYPOTHESES
1. Type 2 Diabetes and Obesity
1.1 Type 2 Diabetes
Diabetes mellitus is characterized by abnormally high blood glucose levels
(hyperglycemia) and caused by an altered secretory amount of insulin from pancreas as well
as decreased effectiveness in insulin action [1, 2]. According to recent classification, Type 1
and Type 2 are two main types of this chronic disease [2, 3]. Type 1 diabetes, also known as
juvenile-onset or insulin-dependent diabetes, is an autoimmune disease in which pancreatic
islet cells are destroyed by antibodies produced by the body [2, 4]. Therefore, absolute
deficiency in insulin production by the pancreas is always associated with Type 1 diabetes
[3]. Type 2 diabetes, also known as adult-onset or non-insulin dependent diabetes, is the
consequence of altered insulin secretion as well as resistance to insulin action [2, 4].
The prevalence of type 2 diabetes, which accounts for approximately 90 - 95% of all
diagnosed cases of diabetes, is increasing worldwide and the global diabetic population is
estimated to double from 151 million in 2000 to 300 million in 2025 [5, 6]. Meanwhile,
annual medical expenditure associated with type 2 diabetes imposed a significant financial
burden on society. In United States, type 2 diabetes accounts for more than $100 billion in
healthcare costs annually [2] while in western European countries, 2-7% of total national
health budgets has been spent on diabetes care [7]. Even more disturbing is the growing
number of children and adolescents diagnosed with type 2 diabetes which was previously
present in adults only [7, 8]. Additionally, as diabetes mellitus can lead to serious long-term
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complications including heart disease, retinal damage, renal failure and stroke [9], it was
ranked sixth as the leading cause of death in United States in 2004 [10].
In normal subjects, the plasma glucose levels are maintained with the aid of insulin
[11]. Insulin is a multipotent hormone secreted from β-cell in pancreas and its most
important effect is on glucose homeostasis [12]. First of all, insulin can stimulate the
peripheral glucose uptake in muscle (around 60% of insulin-stimulated whole body glucose
uptake), liver (around 30%) and adipose tissue (about 10%) [12]. At the same time, insulin
also stores excess glucose as glycogen in liver and muscle [13, 14]. Insulin resistance,
characterized as defects in insulin signaling in insulin-responsive tissues, occurs many years
prior to diabetes onset and serves as a strong predictor for the type 2 diabetes development
[15, 16]. Therefore, both normal insulin secretion and sensitivity to insulin action are of
importance for maintenance of plasma glucose level.
The developmental process of type 2 diabetes is a complex and multifactorial
consequence as shown in Figure 1 proposed by Olefsky et al. in 1995 [16]. Several risk
factors, including both genetic and acquired factors, make significant contributions to type 2
diabetes. In addition, further new insights into mechanism in the future would provide a
better understanding of type 2 diabetes pathogenesis.
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Figure 1. Pathology of type 2 diabetes concluded by Olefsky et al. in 1995
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1.2 Obesity
Obesity is another chronic disease associated with the excessive presence of body fat
and it has become a leading public health problem in the world [17]. Similar to type 2
diabetes, increased prevalence of obesity among both adults and children has been observed
in many countries throughout the world [18, 19]. According to National Centre for Health
Statistics, it is reported that 61% of adults are overweight and 26% are obese in United States
in 1999, as defined by body mass index (BMI) [20] . Globally, the prevalence of obesity has
increased more than 75% since 1980 [17].
Obesity is a consequence of an imbalance in energy metabolism resulting from
excessive food intake concurrent with decreased energy expenditure [17]. There are several
explanations for this global increase in obesity rate. First of all, genetic factor makes
dominant contribution to body weight as inheritability for obesity is estimated to be 50-90%
[17]. Moreover, some acquired factors, including obesity-promoting changes in diet and
sedentary lifestyle, also exacerbate this increased prevalence [17].
1.3 Close Connection between Type 2 Diabetes and Obesity
Obesity is closely associated with insulin resistance and is considered to be a leading
risk factor for both type 2 diabetes and cardiovascular disease [21, 22]. Recent
epidemiological studies have shown that BMI over 28 kg/m2 exponentially increase the risk
of type 2 diabetes [23] . Various hypotheses have been proposed to explain the causal
relationship between obesity and type 2 diabetes [24], one of the which accepted is the
‘lipotoxicity hypothesis’ as shown in Figure 2: in obese individuals, beta-cell dysfunction,
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insulin resistance and impaired glucose tolerance develop in response to physiological
dysfunction in muscle, liver and pancreas where excess lipids are deposited [24-26].
1. Increased number of adipocytes (hyperplasia)
Obesity
2. Enlarged size of adipocytes (hypertrophy)
1. Excess lipids cannot be stored in adipose tissue in the
form of triglyceride
Lipotoxicity
2. Excess lipids deposited insulin-sensitive tissues, such as
muscle, liver and pancreas
3. Physiological dysfunction in muscle, liver and pancreas
Insulin Resistance
Beta-cell dysfunction
Impaired glucose tolerance
Type 2 Diabetes
Figure 2. Proposed hypothesis of lipotoxicity
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2. Adipose Tissue and 3T3-L1 Cell Line
2.1 Adipose Tissue
Mature adipocytes are the main cellular component of adipose tissue. In addition,
adipose tissue also contains other components, such as undifferentiated preadipocytes,
immune cells (leukocytes, macrophages), nerve fibers, vascular stroma, lymph nodes and a
matrix of collagen and reticular fibers [27].
There are essentially two types of adipose tissue in humans referred to as white
adipose tissue (WAT) and brown adipose tissue (BAT) [27, 28]. BAT is found in fetuses and
newborn infants and is practically absent in adults as its principal function is to burn fat to
generate heat for newborns during the initial hours after birth [27, 28]. Uncoupling Protein-1
(UCP-1), exclusively expressed in brown adipocytes, plays a vital role in heat production as
it uncouples electron transport from adenosine-5'-triphosphate (ATP) production allowing
energy to dissipate as heat [27].
However, the predominant type of adipose tissue in humans is WAT [29]. Two types
of WAT exist and are classified as visceral and subcutaneous [30]. Functional differences
exist between these two types and it appears that individuals with visceral fat accumulation
are more likely to develop metabolic and cardiovascular diseases [30]. In response to energy
demands, WAT serves as a site for storing excess energy as triglyceride via lipogenesis and
releasing energy in the form of free fatty acid/glycerol via lipolysis when there is a calories
deficit [27, 29, 31]. In addition to its biological repertoire necessary for storing and releasing
energy [32], WAT has been proved recently to be an essential endocrine organ which
secretes a variety of bioactive proteins termed as adipocytokines, including adiponectin,
leptin, resistin and visfatin, which have been proved to be actively involved in energy
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regulation, lipid metabolism, insulin resistance, immunological response and vascular disease
[32-34]. Moreover, WAT also expresses and secretes some other cytokines and chemokines,
such as tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6) and monocyte
chemoattractant protein-1 [35].
Besides these two roles of adipose tissue as mentioned above, Cao et al. in 2008 found
that palmitoleate, a free fatty acid metabolite generated in and released from adipocytes, is a
circulating factor that promotes the insulin sensitivity in liver and muscle [36]. This latest
finding is a further step to demonstrate that lipid metabolism and glucose homeostasis are
highly interconnected processes [37].
Therefore, due to its multifunctional characters, WAT has been focused by
researchers as a possible central mediator of whole body insulin resistance in recent years
[38].
2.2 3T3-L1 is an established in vitro model of adipocyte biology
The molecular and cellular events during the adipogenesis process have been studied
on various cell culture models, including both preadipocyte cell lines and primary culture of
adipose-derived stromal vascular precursor cells [32]. 3T3-L1 is a substrain of Swiss 3T3
murine cell line derived from disaggregated 17- to 19- mouse embryos [39]. It has been
proved to be an established murine preadipocyte fibroblast which can be induced to
adipocyte differentiation (adipogenesis) and completely convert into oil droplet-containing
mature adipocytes [22]. Therefore, both differentiation process and adipocytokines secretion
from mature adipocyte can be investigated under this cell line condition [22, 40].
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Progress has been made in understanding adipocyte differentiation process. First of all,
these new findings provided the molecular and cellular basis of the adipose tissue growth of
physiological and pathophysiological state. Additionally, they also provided means of
developing strategies for both prevention and treatment of obesity [39]. Characterized by
increased adipose tissue mass, obesity is determined by both enlarged size and increased
number of adipocytes [41]. Therefore, several applicable anti-obesity mechanisms, including
decreased preadipocyte proliferation, inhibition of adipocyte differentiation, reduced
lipogenesis, increased lipolysis and enhanced free fatty acid oxidation were proposed by
Wang et al. [42].
2.3 Peroxisome Proliferator-Activated Receptor γ (PPARγ)
Peroxisome proliferator-activated receptors (PPARs) constitute a subfamily of nuclear
hormone receptors which regulate storage and catabolism of dietary fats [43-45]. There are
three subunits of PPARs: α, δ and γ [46]. Among those PPAR subunits, the expression of
PPARγ exhibits the predominant specificity in adipose tissue while smaller amounts are also
present in skeletal muscle, liver, pancreatic β-cells, vascular endothelial cells and
macrophages [46, 47].
The roles of PPARγ in both adipogenesis and differentiated adipocytes have been
investigated extensively in vitro and in vivo. First of all, PPARγ plays a role as one key
transcriptional factor in adipocyte differentiation [43, 46]. The expression of PPARγ is
induced early in adipogenesis, subsequently induces the other transcriptional factors and
promotes development of differentiation phenotype [48]. The observations that PPARγdeficient cells failed to differentiate to mature adipocytes demonstrated that PPARγ plays an
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essential and irreplaceable role in the adipocyte differentiation [49, 50]. Secondly, PPARγ
also play an important role in mature differentiated adipocytes. Tamori et al. found PPARγ
functions at least in part by regulating relevant gene expressions to maintain the
characteristics of mature adipocytes including free fatty acid (FFA) uptake and triglyceride
accumulation [51]. Similarly, Way et al. also found that PPARγ activation with the potent
PPARγ ligand GW1929 stimulated the expression of genes involved in lipogenesis and fatty
acid metabolism in adipose tissue in Zucker diabetic fatty rat [52].
The therapeutic usage of PPARγ agonists is mainly focused on type 2 diabetes
treatment. PPARγ has been identified as the receptor for thiazolidinediones (TZDs) and the
antidiabetic effects of TZDs are mediated through PPARγ [4, 53, 54]. Therefore, adipose
tissue, where PPARγ predominantly expressed, has become a main target tissue of TZDs.
However, PPARγ agonists also bring in a paradox. On one hand, PPARγ agonists effectively
reduce plasma glucose and ameliorate insulin resistance [55]. On the other hand, PPARγ
agonists also promote adipocyte differentiation which potentially leads to obesity, a major
risk factor for the development of type 2 diabetes. One of postulated explanations to this
paradox is that PPARγ activation in rodents induced increased number of small adipocytes
which typically demonstrate greater insulin sensitivity, more glucose uptake and lower rates
of lipolysis when compared to large adipocytes [55-57]. However, further investigations are
still in need to clarify this issue.
2.4 Adiponectin
Adiponectin is predominantly secreted from mature adipocytes to influence insulin
sensitivity by improving glucose and lipid metabolism [58, 59]. Adiponectin has been
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regarded as a clinical marker of type 2 diabetes as high levels of adiponectin are associated
with reduced risk of diabetes while reduced levels of adiponectin have been observed in type
2 diabetics and obese patients [60, 61]. Moreover, adiponectin also has become one of
therapeutic targets for type 2 diabetes. First of all, adiponectin has been shown to suppress
hepatic glucose production [62]. Moreover, via activating AMP-activated protein kinase
(AMPK) pathway, adiponectin increases glucose uptake and stimulates fatty acid oxidation
[63, 64].
3. Antidiabetic Drugs: Thiazolidinediones (TZDs) and Metformin
Besides the use of insulin in the treatment of diabetes, oral hypoglycemic agents such
as sulphonylureas, thiazolidinediones (TZDs), α-glucosidase inhibitor, and metformin are
also used to regulate plasma glucose level [65]. The principal modes of action of these
antidiabetic agents are listed in Table 1 [4, 54, 66].
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Table 1. Current therapeutic agents for type 2 diabetes
Class
Molecular Target(s)
Sites of Action
Main mode of action
Adverse Effects
Liver, muscle
Decrease hepatic
glucose output;
Increase peripheral
glucose uptake
Gastrointestinal
Disturbances;
lactic acidosis
PPARγ
Fat, liver, muscle
Increase insulin
sensitivity
Weight gain;
Oedema;
Anaemia
SU receptor/ K+ ATP
channel
β-cell
Increase insulin
secretion
Hypoglycaemia;
Weight gain
Intestine
Decrease rate of
intestinal carbohydrate
digestion
Gastrointestinal
disturbances
Fat, muscle, liver
Decrease hepatic
glucose output;
Increase peripheral
glucose uptake;
Decrease lipolysis
Hypoglycaemia;
Weight Gain
Biguanide (Metformin) Unknown
TZDs
(Pioglitazone,
rosiglitazone)
Sulfonylurea
α-glucosidase inhibitor
(acarbose)
Insulin
α-glucosidase
Insulin receptor
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TZDs and metformin are two important classes of drugs for the treatment of Type 2
diabetes but they counter insulin resistance via different cellular mechanisms [54]. Currently,
two TZDs, pioglitazone and rosiglitazone remain on the US market while troglitazone was
taken off because of liver toxicity [55]. TZDs function as PPARγ agonists. The main actions
of TZDs include increasing systematic insulin sensitivity, increasing peripheral glucose
uptake, reducing plasma fatty acid concentration and enhancing adiponectin secretion [15,
54]. Adiponectin influences insulin sensitivity by improving glucose and lipid metabolism
and its decreased expression has been reported in models of obesity and diabetes [58, 59].
Moreover, TZDs also inhibited secretion of TNF-α, IL-6 and resistin which promoted muscle
insulin resistance [67]. In addition, TZDs were proved to activate AMPK in rat liver and
adipose tissue but it remains unclear whether this is a direct effect and/or mediated by
PPARγ via increasing plasma level of adiponectin [68]. However, the safety of earlier
generation TZD has been questioned as well as concerns over common side effects of newer
generation of TZD such as weight gain, edema and heart failure [69].
Metformin, on the other hand, achieve hypoglycemic effects principally via
suppressing hepatic glucose output [54]. It was found that metformin might mediate its
insulin-sensitizing effect by directly activating AMPK pathway in rat liver and muscle [66].
In addition, a clinical study on type 2 diabetes patients demonstrated that metformin caused a
significant increase in AMPK α2 activity in muscle after 10-week treatment [70]. These
findings provide strong evidences that AMPK is the mediator, in part at least, of metabolic
effects of metformin. However, unlike TZDs, metformin could remain weight stable [71],
enhance lipolysis [53] and reduce triglyceride accumulation in adipocytes [72]. Moreover, it
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was observed that metformin could not enhance secretion of adiponectin in both in vivo [73]
and in vitro experiments [74].
4. Momordica Charantia and Goyasaponins
Although current therapeutic agents for type 2 diabetes are effective in controlling
hyperglycemia, they also cause significant side effects as shown in Table 1. Some of the
drugs such as sulphonylureas and TZDs frequently lead to weight gain which may further
exacerbate the hyperglycemic conditions [23]. In view of these undesirable side effects as
well as the increasing prevalence of type 2 diabetes, there is demands to search more
efficacious agents with fewer side effects [38]. This fueled the search for alternative
therapeutic substances [75] and led to a rising interest in dietary adjuncts and herbal products
that exhibit hypoglycemic properties [76].
4.1 Momordica Charantia
The use of traditional functional foods, such as plants and herbal remedies to treat
disease and symptoms has a long history of use in Asia and other developing countries [77,
78]. Momordica charantia is commonly known as bitter gourd or bitter melon [77]. It is a
tropical climber belonging to the Cucurbitaceae family and has a unique bitter taste and is
cultivated worldwide for its edible fruit [38]. Besides being consumed as a vegetable, M.
charantia has been used to maintain health, prevent illnesses as well as manage chronic
diseases, most notably diabetes, in the traditional medicinal systems of many cultures
worldwide, including those of the Asian Indians, Chinese and South Americans [79]. Besides
anti-diabetic properties, M. charantia has also been credited with antiviral, antitumor,
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antileukemic, antibacterial, anthelmintic, antimutagenic, antimycobacterial, antioxidant,
antiulcer, anti-inflammatory, hypocholesterolemic, hypotriglyceridemic, hypotensive,
immunostimulant, and insecticidal properties [77]. However, it has been used extensively as
a folk remedy for diabetes in Asia and is most widely studied with regards to its antidiabetic
effects [78, 80, 81].
Previous studies on hypoglycemic activity of M. charantia have mainly focused on
chemically-induced diabetic rodents, such as streptozotocin (STZ)-induced rats [82-84].
Momordica charantia extracts (methanol, ethanol and aqueous extracts, or fresh juice) were
found to depress the level of plasma glucose [84, 85], stimulate glucose uptake into skeletal
muscle cells after incubation with glucose [86], improve insulin sensitivity by ameliorating
insulin signaling cascade in both skeletal muscle [87] and liver [88] of high-rat-red rats,
enhance glucose transporter (GLUT4) protein content of plasma membrane in muscle tissue
of rats [89], improve blood glucose tolerance [90], increase the number of pancreatic betacells [82], regenerate beta cells in islets of Langerhans in pancreas [91], reduce triglyceride
content, decrease LDL-cholesterol and increase HDL-cholesterol [92, 93]. Clinical dietary
trials using fruit juice of M. charantia have also shown similar serum hypoglycemic effects,
such as decreased serum glucose concentration [94], improved glucose tolerance [94, 95],
and a reduction of both fasting and postprandial serum glucose levels [92].
Therefore, the biochemical, pharmacological and histopathological profiles of M.
charantia extracts in both in vivo and in vitro studies clearly indicate its potential antidiabetic
activity and other beneficial effects against associated complications [96]. However, the
active antidiabetic component of M. charantia has not been adequately identified, although a
wide range of compounds have been isolated, notably steroidal-like saponins such as
14
cucurbitane-triterpene glycosides, oleanane-triterpene saponins [97] and proteins including
insulin-like polypeptide-p and napin-like protein [98, 99].
4.2 Saponins
Saponins are widely distributed in the plant kingdom and include a structurally
diverse group of compounds [100]. They are amphiphilic in nature, consisting of triterpenoid,
steroidal or steroid alkaloidal aglycones that are substituted with a varying number of sugar
side chains [101-103]. M. charantia provides a rich source of triterpenoid saponins [104].
The triterpene aglycones share a similar basic structure where the 30 carbon atoms of the 6
linked isoprene units are arranged into 4- or 5- ring structures. The sites of glycone
attachment may be one (monodesmosides), two (bisdesmosides) or three (tridesmosides)
[103]. Triterpene saponins are typically bidesmosidic saponins, often with one sugar chain
attached through an ether linkage at C-3 and one attached through an ester linkage at C28[103]. The unsubstituted, non-polar aglycones are classified as sapogenins.
Triterpenes can be subdivided into around 20 groups depending on their molecular
structures, including oleananes and cucurbitanes [104]. Saponins were initially a rather
neglected area of research primarily because of great difficulties in their isolation and
characterization [103]. With the advent of more sophisticated methods of isolation and
structure elucidation through the last two decades, there has been great interest in these
compounds [103]. Saponins occur as major constituents in active fractions isolated from
many plants used in traditional medicine, and have been shown to possess a large variety of
physiobiological activity, including anti-inflammatory, hemolytic, cholesterol lowering, and
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anticancer properties [101-103, 105]. However, due to the structural complexity of saponins,
only a few of these properties are common to all members of this diverse group [100].
4.3 Goyasaponins
Goyasaponin (in Japanese) means saponins extracted from bitter melon.
Goyasaponin fraction, as elucidated by Murakami et al. [97], includes abundant types of
cucurbitane-triterpene glycosides and oleanane-triterpene saponins, such as goyaglycoside
group (a, b, c, d, e, f, g, h), goyasaponin group (I, II, III) and momordicoside group (A, C, F1,
F2, I, K, L). The molecular formulae and structures of these compounds are shown in
Figures 3 – 5. Over 40 different cucurbitane-type and oleanane-type triterpene saponins
have been isolated from various parts of the of M. charantia plant [106] including the
fruits[97, 106-108], seeds [109] and vines [110].
Recently, significant research interest has focused on isolation, identification and
purification of cucurbitane-type triterpenoids from M. charantia. Utilizing mass spectrogram
(MS) and nuclear magnetic resonance spectroscopy (NMR), there have been a number of
reported new discoveries of cucurbitane-type triterpenoids isolated from M. charantia [106108, 110-112]. Moreover, it is noteworthy that one recent report documented that n-butanol
soluble M. charantia goyasaponin fraction inhibited sucrose-loading serum glucose elevation
in rats [81] which was an in vivo evidence demonstrating the hypoglycemic property of these
compounds.
However, mainly due to significantly low concentration of each identified single
compounds as shown in Table 2 [97] and no commercial HPLC standards available on the
market, research progress in this field is limited and much less is known about the bioactivity
16
of goyasaponins. In addition, there are very few reports identifying the possible mechanisms
related to the anti-diabetic action at the cellular level of adipocyte, especially on regulation of
adipocyte differentiation and adiponectin secretion.
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Table 2. Yield percentage of each single goyasaponin compounds from fresh fruit [97]
Compound
Yield % from
Fresh Fruit
Compound
Yield % from
Fresh Fruit
Compound
Yield % from
Fresh Fruit
Goyaglycoside a
0.00008%
Goyaglycoside h
0.00008%
Goyasaponin I
0.00010%
Goyaglycoside b
0.00005%
Momordicoside A
0.0013%
Goyasaponin II
0.00027%
Goyaglycoside c
0.00007%
Momordicoside C
0.00016%
Goyasaponin III
0.00009%
Goyaglycoside d
0.00008%
Momordicoside F1
0.00011%
Goyaglycoside e
0.00010%
Momordicoside I
0.00006%
Goyaglycoside f
0.00009%
Momordicoside K
0.00003%
Goyaglycoside g
0.00006%
18
OR1
R2
H
GlcO
Goyaglycoside a, b, c, d, e, g
Goyaglycoside
R1
R2
Molecular
Formula
a
H
OCH3
C37H60O9
b
H
OCH3; 3’-epimer
C37H60O9
c
CH3
OCH3
C38H62O9
d
CH3
OCH3; 3’-epimer
C38H62O9
H
C42H68O13
OCH3; 3’-epimer
C43H70O14
β-Dglucopyranosyl
β-Dglucopyranosyl
e
g
OH
O
OH
OGlc
OH
H
H
O
GlcO
Glc - Glc - O
Goyaglycoside f (C42H68O13)
Goyaglycoside h (C42H70O15)
Figure 3. Molecular formulae and structures of goyaglycosides a – h
19
C
O
O
CH 3
OH
COOH
O O
OH
O
OH
CHO
H
OH
O
OH
H
O
H
OH
O
O
CH3
OH
O
H
O
CH 3
O
OH
OH
O
H
OH
OH
H
OH
OH
OH
OH
Goyasaponin I (C65H102O31)
C
O
O
CH 3
COOH
O O
OH
H
OH
O
OH
O
OH
OH
H
OH
OH
O
O
OH
CHO
CH 3
O
OH
H
OH
OH
O
H
OH
O
O
CH3
OH
O
H
O
H
O
H
OH
OH
OH
OH
Goyasaponin II (C70H110O35)
COOH
O
COOH
O O
C
H3 C
O
H
O
OH
O
O
OH
H
OH
O
OH
OH
OH
H
OH
Goyasaponin III (C49H76O19)
Figure 4. Molecular formulae and structures of goyasaponins I, II, III
20
OH
OH
R1
OH
OH
H
H
R 2O
Glc - Glc - O
Momordicoside A
(C42H72O15)
Momordicoside
R1
C
CH3
D
H
R2
βgentiobiosyl
βgentiobiosyl
Molecular
Formula
C42H72O14
C42H70O13
OR 1
O
2
R O
Momordicoside
R1
R2
F1
CH3
β-D-glucopyranosyl
Molecular
Formula
C37H60O8
F2
H
β-D-allopyranosyl
C36H58O8
G
CH3
β-D-allopyranosyl
C37H60O8
I
H
β-D-glucopyranosyl
C36H58O8
Figure 5. Molecular formulae and structures of selected momordicosides
21
OR
OHC
HO
OGlc
Momordicoside
R
K
CH3
Molecular
Formula
C37H60O9
L
H
C36H58O9
Figure 5 (Continued). Molecular formulae and structures of selected momordicosides
22
5. Overall Hypotheses, Objectives and Implications of This Study
5.1 Overall Hypotheses
A concentrated goyasaponin fraction (CGF) from M. Charantia fruit was obtained
using an extraction and concentration method. It is hypothesized that this fruit CGF
shows a potential as a PPARγ agonist and plays a similar role as TZDs which can
influence preadipocyte proliferation, process of adipocyte differentiation and adiponectin
secretion of differentiated adipocytes by modulating cell signaling. In addition, neither
the saponin contents in M. Charantia seed nor bioactivity has been investigated
thoroughly. It is proposed that seed CGF shows similar effects as fruit CGF on this in
vitro model. These findings may be important to elucidate the effects and relevant
mechanisms of M. Charantia on anti-obesity and type 2 diabetes prevention and/or
management.
5.2 Overall Objectives
M. charantia is widely used as a traditional functional food for the treatment of
type 2 diabetes while adipose tissue is one of the targets for anti-diabetic drugs. Based on
proven hypoglycemic effect of goyasaponin fraction on rats [81], the overall objective of
this study is to investigate whether a concentrated saponin fraction (CGF) extracted from
both M. charantia fruit and seed show a potential as PPARγ agonist by evaluating their
effects and relevant mechanisms of in the 3T3-L1 murine cell line.
(1) To optimize methods of extracting and concentrating saponin fractions from both M.
Charantia fruit and seed and to obtain lyophilized CGF in powder for further in vitro
23
experiments.
(2) To investigate the effect of CGF extracted from Momordica charantia fruit and seed
in 3T3-L1 cell model related to diabetes and obesity.
(3) To elucidate related mechanisms of these observed activities.
5.3 Implications of This Study
There are two implications of this study. First of all, because adipose tissue is one
of the target tissues for antidiabetic agents, assessments of both fruit CGF and seed CGF
effects on 3T3-L1 preadipocyte proliferation, adipocyte differentiation and adiponectin
secretion can shed more light on the underlying mechanisms of the bioactive compounds
responsible for the extensively investigated antidiabetic properties of M. charantia.
Secondly, the discovery of any enhanced bioactivity of M. charantia goyasaponins from
fruit or seed will constitute a basis for determination of any potential for its development
into a nutraceutical product.
24
CHAPTER 2
CONCENTRATION OF GOYASAPONIN FRACTIONS
1. Objectives
(1) Sample preparation of CGF from both M. Charantia fruit and seed for further in vitro
experiments.
(2) Component analysis of CGF by HPLC-MS based on molecular weight confirmation.
2. Materials and Methods
2.1 Preparation of Concentrated Goyasaponin Fraction from M. charantia Fruit
M. charantia fruit was purchased from a local supermarket, washed, separated
from the seeds and aerial fibers, cut into small pieces and lyophilized. Dried fruit pieces
were powdered and stored at -15℃ until extraction. Lyophilized samples were refluxed
in methanol for 4 h, filtered (No.1 Whatman paper, Maidstone, England) and vacuum
evaporated. The residue was dissolved in deionized water and centrifuged for 5 minutes
at 500 x g. The supernatant was then applied equally to five Amberlite XAD4 columns
(Sigma, St. Louis, MO) with a bed volume of 140 cm3 each at a flow rate of 3 bed
volume / hour (BV/H) followed by 1 L water wash at a rate of 5 BV/H. The sample was
eluted by ethanol (500 mL) in each column at a rate of 3 BV/H, and concentrated by
vacuum evaporation. The residue was dissolved in water and lyophilized and is herein
referred to as the fruit concentrated goyasaponin fraction (Fruit CGF) as shown in Figure
6.
25
Lyophilized M. charantia fruit powder
Reflux with methanol,
Discard residue.
Methanolic extract
Removal of methanol under vacuum and dissolved in
deionized water
Aqueous extract
Solid phase extraction using Amberlite® XAD-4; eluted with ethanol
Ethanolic extract
Removal of ethanol and dissolved in deionized water
Concentrated aqueous extract
Lyophilization
Fruit CGF in powder form
Figure 6. Schematic representation of methodology used in preparation of concentrated
goyasaponin fraction from M. charantia fruit.
26
2.2 Preparation of Concentrated Goyasaponin Fraction from M. charantia Seed
Sun-dried M. charantia seeds were purchased from a local herbal store (Ban
Lee Huat Seed Pte Ltd., Singapore). Seeds (4kg) were grounded and stored at -15°C.
Each time, ground M. charantia seeds were weighed (35 g), refluxed in 500mL methanol
for 4h. The mixture was filtered through filter paper twice (Whatman No.1) and vacuum
evaporated. Concentrated methanolic extracts from all batches of refluxed extracts were
combined before liquid-liquid extraction to minimize variations between batches. The
concentrated methanol extract (70ml) was first partitioned between 140mL ethyl acetate
(EtOAc) (Tedia, Fairfield, USA) and 70mL deionized water. The EtOAc phase was
discarded while the aqueous phase was further partitioned between 125mL n-butanol
(Sigma, St. Louis, MO) and 75mL deionized water. The aqueous phase was discarded
while the n-butanol phase, containing the saponins, was vacuum evaporated. The residue
was dissolved in 400ml deionized water and centrifuged for 5 minutes at 500 x g. The
supernatant was then applied equally to one Amberlite XAD4 column with a bed volume
of 140 cm3 at a flow rate of 3 bed volume / hour (BV/H) followed by 1 L water wash at a
rate of 5 BV/H. The sample was eluted by ethanol (500 mL) in each column at a rate of 3
BV/H, and concentrated by vacuum evaporation. The residue was dissolved in water and
lyophilized and is herein referred to as the seed concentrated goyasaponin fraction (Seed
CGF) as shown in Figure 7.
27
Ground M. charantia seeds
Reflux with methanol,
Methanolic extract
Removal of methanol under vacuum
Concentrated methanolic extract
Partition between ethyl acetate and deionized water
Aqueous phase
Ethyl acetate phase
(Discarded)
Partition between n-butanol and deionized water
n-butanol phase
Aqueous phase (Discarded)
Removal of n-butanol and dissolved in deionized water
Aqueous extract
Solid phase extraction using Amberlite® XAD-4; eluted with ethanol
Ethanolic extract
Removal of ethanol and dissolved in deionized water
Concentrated aqueous extract
Lyophilization
Concentrated Seed Goyasaponin
Fraction in powder form
Figure 7. Schematic representation of methodology used in preparation of concentrated
goyasaponin fraction from M. charantia seeds
28
2.3 Identification of Goyasaponin Compounds in CGF from both fruit and seed by High
Performance Liquid Chromatography-Mass Spectrum (HPLC-MS)
A Waters Symmetry C18 column (3.9 × 150 mm, 5 µm) was used for the
separation of fruit CGF. Fruit CGF powder was dissolved in methanol and syringe
filtered (0.45 µm). Solvent A consisted of 0.05 % (v/v) acetic acid in water; solvent B
was 0.05 % (v/v) acetic acid in acetonitrile and the column temperature was held constant
at 30 °C. The flow-rate was 1 mL/min and the elution program was as follows: Time: 0 25 min (95-0% A, 5-100% B), 25 - 30 min (0% A, 100% B), 30 - 35 min (0-95% A, 100 5% B). The detection wavelength was 208 nm and injection volume was 20 µL.
A Phenomenex Synergi column (RP100A, 2.00 × 50 mm, 2 µm, CA, USA) was
used for the separation of seed CGF. Seed CGF powder was dissolved in methanol and
syringe filtered (0.45 µm). Solvent A consisted of 0.05 % (v/v) acetic acid in water;
solvent B was 0.05 % (v/v) acetic acid in acetonitrile and the column temperature was
held constant at 30 °C. The flow-rate was 0.5 mL/min and the elution program was as
follows: Time: 0 - 35 min (95-0% A, 5-100% B), 35 - 40 min (0% A, 100% B), 40 - 45
min (0-95% A, 100 - 5% B). The detection wavelength was 208 nm and injection volume
was 20 µL.
Detection and molecular weight confirmation of the goyasaponin compounds
were established by a LC - MS (Finnigan LCQ quadrupole ion trap) system in both
positive and negative mode. The MS conditions were set to an ion spray voltage of 4.5
kV with a capillary temperature of 300 °C and capillary voltage of 31 eV, 1 mL/min
(Fruit CGF) or 0.5 mL/min (Seed CGF) was delivered to ESI-MS and the remaining
diverted to waste. The scan mass spectra were in the m/z range of 100–2000.
29
3. Results
The yield of lyophilized CGF powder (1663.62 mg) from fresh fruit (4.915 kg) is
approximately 0.03385% while the yield of lyophilized CGF powder (3336 mg) from
sun-dried seed (4 kg) is approximately 0.0834%.
A variety of goyasaponin compounds were identified in the both fruit CGF and
seed CGF on the basis of molecular fragment match to reported molecular weights in the
literature [97]. The suspected compounds contained in the Fruit CGF are listed in Table
3. For a given retention time, up to three compounds in Fruit CGF were identified based
on identical molecular weight. Compounds momordicilin, momordicoside A,
goyaglycoside g, momordicoside E were identified individually without overlapping
molecular weights. Similarly, suspected compounds in Seed CGF were listed in Table 4.
30
Table 3. Molecular weight confirmation of isolated goyasaponin compounds in fruit
CGF by LC-MS
No.
Retention
Time
1
15.8
2
17.59
Identification
5
18.54
-18.62
20.23
-20.31
21.58
6
21.88
7
22.84
8
24.17
goyaglycoside c
/goyaglycoside d
goyaglycoside a
/goyaglycoside b
/momordicoside K
momordicoside F2
/momordicoside I
goyaglycoside c
/goyaglycoside d
momordicoside E
goyaglycoside a
/goyaglycoside b
/momordicoside K
goyaglycoside c
/goyaglycoside d
momordicilin
9
34.87
momordicoside A
3
4
[M+MeOH]-
[M+H]+
[M+CH3COOH]-
[M+Na]+
693.5
650.2
619.1
721.4
720.2
707.4
721.4
571.5
847.6
Table 4. Molecular weight confirmation of isolated goyasaponin compounds in seed
CGF by LC-MS
No.
Identification
[M+MeOH]-
1
Retention
Time
1.11
Momordicoside D
815.44
2
6.18
Momordicoside A
3
8.74
Momordicoside A
4
9.79
Momordicoside D
5
23.96
Momordicin
6
25.54
Momordicoside C
831.50
7
31.54
Momordicoside C
831.54
8
32.69
Goyaglycoside e/f
9
42.54
Momordicoside C
[M+H]+
[M+K]+
874.93
817.03
815.68
478.10
782.44
831.73
31
[ M+CH3COOH ]-
4. Discussion
In the first stage of project, methods for extraction and concentration of
goyasaponin fractions from both M. Charantia fruit and seed were investigated and
optimized. From HPLC-MS results, a variety of goyasaponin compounds were identified
in both fruit CGF (Table 3) and seed CGF (Table 4) on the basis of molecular fragment
matched to reported molecular weights in the literature. In addition, lyophilized CGF
from both fruit and seed were obtained for further in vitro experiments.
Further investigation could be focused on isolation and purification of single
goyasaponin compounds from both fruit and Seed. First of all, a successive ethyl acetate
and n-butanol liquid-liquid extraction could be used to remove impurities and
concentrating the saponin fraction in methanolic extract. This two-step chromatography
separation method, on a laboratory scale, would offer an equally efficient isolation as
compared to multiple-steps chromatography that is commonly used. Secondly, the
cucurbitane-type triterpene glycosides could be separated into its individual components
by normal-phase silica gel followed by HPLC manual collection. This method can be
scaled-up with ease. However, further studies need to be done to optimize the parameters
and to reduce the cycle time of isolation. When one isolated component was obtained, it
could be identified using common spectroscopy methods, such as LC-MS, according to
previously reported molecular fragment. Further investigations are still in need to obtain
the configuration of the side chains and the whole structure to confirm its identity, such
as nuclear magnetic resonance (NMR) spectroscopy which could aid in identifying the
structures of the aglycone as well as the structures and linkage of glycone moieties.
Besides, other chemical identification and confirmation studies could be employed, such
32
as enzymatic, acid or basic hydrolysis to confirm the structures of further isolated
goyasaponin compounds.
33
CHAPTER 3
EFFECTS OF FRUIT CGF ON 3T3-L1 CELL LINE
1. Hypothesis
CGF from M. Charantia fruit influences preadipocyte proliferation; affects
adipocyte differentiation and influences secretion of adiponectin in the 3T3-L1 murine
cell model.
2. Objectives
First of all, effect of fruit CGF on preadipocytes viability is determined by MTT
assay in order to demonstrate the bioactivity of CGF. The mechanisms of this altered
preadipocyte proliferation after CGF treatment would be investigated by further LDH
assay, apoptosis assay and cell cycle analysis. Secondly, effect of fruit CGF on adipocyte
differentiation could be displayed via both Oil-Red-O staining and triglyceride content
test on adipocytes. The mechanism of the fruit CGF treatment in the whole adipogenesis
would be demonstrated by PPARγ expression of adipocytes via western blot assay. More
importantly, the effect of fruit CGF on adiponectin secretion from differentiated
adipocytes would also be tested.
3. Materials and Methods
3.1 Cell Culture and Adipocyte Differentiation
34
3T3-L1 preadipocytes were purchased from American Type Culture Collection
(Manassas, VA). Preadipocytes were incubated in Dulbecco's modified Eagle medium
(DMEM) (Sigma, Germany) supplemented with 10% fetal bovine serum (FBS) (Biowest,
Miami, Florida), and 1% antibiotic-antimycotic (100 U/mL penicillin, 100 µg/mL
streptomycin sulfate, 0.25 µg /mL amphotericin B) (Gibco, Invitrogen, Canada) at 37℃
in a humidified 5% CO2 incubator (Sanyo, Tokyo, Japan). Cells were maintained at a
cell concentration not exceeding 6 x 104 cells/mL and were subcultured by total medium
replacement using 0.25% (w/v) trypsin - 0.53 mM EDTA (Gibco, Canada) every 2 - 3
days. The viable cell number was assessed in quadruplicate by trypan blue exclusion dye
using a hemocytometer.
Preadipocytes were seeded in 24-well plates at a density of 5 x 104 cells/well for
48 h. Adipogenesis (Day 0) was initiated with medium supplemented with 0.5mM 1Isobutyl-3-methylxanthine (IBMX) (Sigma) and 1 μM dexamethasone (DEX) (Sigma).
The culture medium was replaced 48 h later (Day 2) with DMEM containing 10 µg/mL
insulin (Sigma) for 48 h replaced thereafter with DMEM every 48 h. . On Day 8,
adipogenesis was complete and adipocytes had acquired intracellular lipid droplets [113].
3.2 Cell Viability (MTT Assay)
Preadipocyte cell viability was assessed by the MTT (3-(4,5-Dimethyl-2thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide) viability assay. 3T3-L1 preadipocytes
were seeded in 96-well plates (2500 cells/well) and allowed to attach overnight. After 24
h, culture medium with CGF (200-400 µg/mL) was added to each well and the cells were
incubated for 24, 48 and 72 h and untreated cells acted as control. After each period,
35
medium and test compounds were replaced with 10 µL MTT solution (5 mg/mL MTT in
PBS) and 90 µL DMEM to each well. After 4 h, 100 µL solubilization solution (10%
SDS in 0.01M HCl) was added to each well and incubated overnight as described by
Popovich and Kitts [114]. The plates were measured by a spectrophotometric microplate reader (Thermo Multiskan Spectrum, Helsinki, Finland) at 570 nm with a reference
wavelength of 650 nm. Absorbance (A) of each treated group was equal to A570nm –
A650nm. The preadipocyte viability percentage was expressed by A CGF / A untreated
control x 100% and the 50% Inhibitory Concentration (IC50) values were calculated by
linear regression.
3.3 Cell Toxicity Test by LDH Assay
LDH was measured as previously described [114] with minor modifications.
Pyruvate and NADH was purchased from Sigma. Tris, EDTA buffer was purchased from
National University of Singapore Medical Institute (NUMI). Preadipocytes were seeded
in 24-well plates at a density of 5 x 104 cells/well and allowed to attach overnight. CGF
extract in culture medium was added at a concentration of 308 µg/mL, equivalent to the
IC50 value determined from a 72-hour MTT assay, described above. Untreated
preadipocytes acted as control groups and all cells were incubated at 37℃ in a 5% CO2
humidified incubator for 24, 48, and 72 h. Cell-free supernatant was obtained by
centrifugation at 400g for 10 minutes. Two milliliters of Tris-EDTA-NADH buffer (pH
7.4, 50 mmol/L Tris buffer, 5 mmol/L EDTA, 150 µmol/L NADH) and 50 µL cell-free
supernatant were mixed in a 24-well plate and incubated at 37℃ for 10 minutes.
Prewarmed (37℃) pyruvate solution (200 µL) was added to each well and the reaction
36
velocity was measured in the first three minutes by a spectrophotometric micro-plate
reader at 340 nm at 37℃.
3.4 Apoptosis Assay and Cell Cycle Analysis
Preadipocytes were seeded in 24-well plates at the density of 5 x 104 cells/well.
After 24 h, CGF powder was added to each well at a concentration of 200, 300, and 400
µg/mL with the untreated cells acting as a control. After treatment for 24, 48 and 72 h,
adherent and non-adherent cells were harvested by trypsinization and centrifugation at
400g for 10 minutes. The pellet was washed twice in PBS and centrifuged to remove the
PBS. The pellet was vortexed vigorously while 1 mL of ice-cold 70% ethanol was added
slowly and allowed to fix overnight at 4 ℃. Ethanol was removed by centrifugation at
300g for 10 minutes and 1 mL PBS containing Propidium iodide (PI) (50 µg/mL, Sigma)
and RNase A (100 µg /mL, AppliChem, Germany) was added and incubated for 1 hour.
Cell cycle was analyzed using a FACS Vantage flow cytometer (Becton-Dickinson,
Mountain View, CA). The percentage of each cell cycle phase after acquiring 10,000
cells was analyzed using WinMDI 2.8 software (Joseph Trotter, Scripps, CA).
3.5 Oil-Red-O Staining
Preadipocytes were seeded on quadriPERM 4-well plates (Greiner Bio-One,
Germany) and adipocyte differentiation was induced as described above. Three CGF
concentrations (100, 200 and 300 µg/mL) were tested and untreated cells acted as
controls. On Day 8, 10% formalin in PBS was added to replace the cultured medium and
allowed to incubate for 5 minutes at room temperature, followed by fresh formalin for 1
37
hour. Each well was washed by 60% isopropanol and allowed to dry, incubated with 60%
Oil Red O solution for 10 minutes and washed (5 times) with deionized water. Cell
morphology was assessed using a CX 31 biological microscope equipped with a C-5060
digital camera (Olympus, Nagano, Japan).
3.6 Cell Lysate Preparation and Protein Concentration Determination
Mammalian Cell Lysis / Extraction Reagent (CelLytic-M) and adipocyte lysate
was prepared according to the manufacturer’s instructions (Sigma). Briefly, cells were
washed with PBS and 150 µL cell lysis reagent was added to each well and allowed to
mix on a rotary stage for 15 minutes. The cell lysate was collected and centrifuged at
15000g for 15 minutes to pellet the cellular debris. The supernatant was transferred to a
chilled test tube and stored at -80℃. The protein concentration of the cell lysate was
determined with Bio-Rad Protein Assay (Bio-Rad, Hercules, CA) according to the
manufacturer’s protocol and were measured by a spectrophotometric micro-plate reader
at 595nm.
3.7 Triglyceride Content Test
Preadipocytes were seeded in 24-well plates and adipocyte differentiation was
induced as described above. Three concentrations of CGF (100, 200 and 300 µg/mL)
were tested and incubated for 8 days. On Day 8, adipocytes were collected and lysed as
described above. Triglyceride content was determined by a commercial triglyceride kit
(Wako Pure Chemical, Osaka, Japan). Protein concentration of lysate was determined as
38
described above. The results were expressed as triglyceride (mg) / protein (mg) in each
group.
3.8 Expression of PPARγ by Western Blot
Rabbit polyclonal primary antibody of PPARγ, adiponectin, Beta Actin and goat
polyclonal secondary antibody to rabbit IgG - H&L horse radish peroxidase (HRP) were
purchased from Abcam (Cambridge, UK). The same cellular protein (9 µg per lane) as
used in triglyceride content test was separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) using a 12% polyacrylamide separating
gel (Mini-PROTEAN Tetra Cell, Bio-Rad, Hercules, CA). The protein was transferred to
a nitrocellulose membrane (ClearPAGE, C.B.S. Scientific, Del Mar, CA) by semi-dry
transfer (C.B.S. Scientific). The membranes were blocked for 1 hour in 5% blotting
grade blocker (Bio-Rad) in PBST (0.05% Tween 20 in PBS, pH 7.4). Membranes were
incubated with diluted primary antibody (PPAR -γ (1:300), Beta Actin (1:2000)) at room
temperature overnight and with the secondary antibody (1:2000) in PBST for 1 hour.
Between each step, membranes were washed 3 times for 5 minutes each. The
antibody/protein complexes were visualized by enhanced chemiluminescence
(SuperSignal West Femto Maximum Sensitivity Substrate, Pierce, Rockford, IL).
Fluorchem FC2 Imaging System (Alpha Innotech, San Leandro, CA) was used to detect
the chemiluminescent signals of target protein bands. The expression of proteins was
quantified densitometrically using the software GelPro 32 (Media Cybernetics, Bethesda,
Md) and expressed relative to reference bands of Beta Actin.
39
3.9 Secretion of Adiponectin from Differentiated Adipocytes by Western Blot
Rabbit polyclonal primary antibody of adiponectin was purchased from Abcam.
On Day 8, differentiated adipocytes were washed with serum-free medium twice. Four
concentrations of CGF (50, 100, 200 and 300 µg/mL) in medium were replaced and
incubated for 12h and 24h respectively. Untreated cells act as negative control while 10
µM Troglitazone (0.02% dimethyl sulfoxide (DMSO) in medium, v/v) (sigma) acts as
positive control. Medium of 10 µL was taken for detection of released adiponectin by
SDS-PAGE and Western Blot methods as mentioned above with diluted primary
antibody of Adiponectin at 1:2000. The number of viable adipocytes was measured by
Trypan Blue exclusion. Adiponectin expression was quantified using the software GelPro
32 and normalized to viable cell number.
3.10 Statistical Analysis
One-way ANOVA (SPSS 12.0) was used to detect the significant differences (p <
0.05) using the Duncan Post hoc multiple comparisons of observed means. Each
experiment was performed in triplicate and the results were expressed as mean ± standard
deviation.
4. Results
4.1 Dose-Response Relationship
Fruit CGF treatment caused a dose and time dependent reduction in preadipocyte
cell viability as assessed by MTT viability assay. Figure 8 shows that at each time
period the cell viability significantly (p < 0.05) deceased with increasing concentration
40
with one exception at concentrations between 250 – 300 µg/mL after 24 h exposure. IC50
values decreased as exposure times increased, the IC50 values were calculated by linear
regression and determined to be 401.67 ± 4.04 µg/mL for 24 h, 313.67 ± 10.41 µg/mL for
48 h and 308.33 ± 11.59 µg/mL for 72 h respectively.
41
Figure 8. The effect of fruit CGF on cell viability in 3T3-L1 preadipocytes. Cells were treated with
CGF at concentrations of 200, 250, 300, 350, 400 µg/mL for 24h (a), 48h (b) and 72h (c)
respectively. Panel (d) shows the relative effect at both time and concentration. MTT assays had six
replicates for each treatment. Values are expressed as means ± standard deviation from three
independent experiments. Means with different letters (a, b, c, d, e) are significantly different at
each time period (p < 0.05).
42
4.2 Increased LDH Release
Figure 9 shows the effect of a fruit CGF treatment on lactate dehydrogenase
(LDH) release, a marker of membrane integrity, from preadipocytes treated for 24 – 72 h
at the 72 h IC50 concentration of 308.33 ± 11.59 µg/mL. Fruit CGF significantly (p <
0.05) increased the release of LDH after 48 and 72 h of treatment. It is noteworthy that
all time periods showed more LDH release when compared to the untreated controls.
Figure 9. The effect of fruit CGF on preadipocyte LDH activity. Cells were treated with
CGF for 24h, 48h and 72h respectively at concentrations of 308 µg/mL, the IC50
concentration determined from a 72-hour MTT assay with five replicates. Values are
means ± standard deviation from three independent experiments. Means with different
letters (a and b) are significantly different (p < 0.05).
43
4.3 Disturbed Cell Cycle
The effect of fruit CGF on 3T3-L1 preadipocyte cell cycle events were measured
by flow cytometry. Representative DNA cell cycle histograms are shown in Figure 10
and the proportion of the cell population in each phase is listed in Table 5. Although the
percentage of cells in the sub-G1 category was determined to be significantly increased
compared to the control cells, the absolute increase in cell percentages were less than 1%
of total cell DNA counts. Therefore, the actual influence of CGF on inducing apoptosis in
3T3-L1 preadipocytes was minor. In contrast, CGF perturbed the cell cycle and increased
cells in the G2/M cell cycle phase beginning at concentration of 300 µg/mL at 48 and 72
h and showed an increase of 35 and 28 %, respectively. A percent change increase of
17% at 24 h, 51% at 48 h and 82 % at 72 h were observed at a concentration of 400
µg/mL. Concurrently, a significant (p < 0.05) decrease in G1 phase cells were observed
at concentrations greater than 300 µg/mL at all time periods when compared to the
respective control populations. The percentage decrease for a concentration 300 µg/mL
CGF was 8.1% at 24 h, 12.1% at 48 h and 6% at 72 h. Moreover, at a concentration of
400 µg/mL the percentage decrease was calculated to be 14.5, 21, and 22 % at 24, 48 and
72 h, respectively.
44
Figure 10. DNA cell cycle histograms of preadipocytes. Cells were treated with fruit CGF at
concentrations of 200, 300, 400 µg/mL for 24h, 48h and 72h respectively. Untreated cells acted as control
groups. Cells were fixed in 70% ethanol and stained with PI as described in Materials and Methods. DNA
histograms shown are representative of an assay repeated in three independent experiments with similar
results.
45
Table 5. DNA cell cycle results of preadipocytes treated with fruit CGF from 24 – 72
hours. Three replicates were performed for each treatment and repeated for three separated
times. Values are expressed as means ± standard deviation. An asterisk (*) denotes a
significant difference from control.
sub-G1 (%)
G1 (%)
24h
48h
72h
24h
48h
72h
control
0.39 ± 0.05
0.29 ± 0.07
0.33 ± 0.17
64.82 ± 4.31
79.09 ± 1.19
78.28 ± 1.59
200 µg/mL
0.65 ± 0.08*
0.39 ± 0.04
0.57 ± 0.16
63.16 ± 6.18
75.50 ± 1.41
75.17 ± 3.59
300 µg/mL
0.60 ± 0.05*
0.47 ± 0.04*
0.44 ± 0.09
59.57 ± 3.93* 69.46 ± 1.39* 73.60 ± 4.54*
400 µg/mL
0.82 ± 0.25*
0.78 ± 0.11*
0.79 ± 0.10*
55.45 ± 3.73* 62.58 ± 2.36* 61.25 ± 5.64*
S (%)
G2/M (%)
24h
48h
72h
24h
48h
72h
control
12.28 ± 1.35
6.42 ± 0.57
5.98 ± 0.84
20.75 ± 2.34
13.76 ± 1.07
13.20 ± 0.49
200 µg/mL
12.67 ± 2.46
7.38 ± 1.17
5.72 ± 1.70
20.97 ± 2.07
15.49 ± 0.41
14.74 ± 1.26
300 µg/mL
13.44 ± 0.92
9.59 ± 1.67*
6.42 ± 2.05
23.62 ± 2.14
18.55 ± 0.99* 16.86 ± 1.11*
400 µg/mL
16.01 ± 0.71* 13.57 ± 1.30* 11.02 ± 3.74* 24.35 ± 2.20* 20.71 ± 1.45* 24.06 ± 1.63*
46
4.4 Suppressed differentiation from preadipocytes to adipocytes
The fruit CGF was added to adipogenesis medium at concentrations of 100, 200
and 300 µg/mL during the adipogenesis process to determine the influence on lipid
accumulation during the differentiation of preadipocytes to adipocytes. Figure 11 shows
representative images of Oil-Red-O stained cells after CGF treatment for 8 days and the
adipogenesis was clearly observed as suppressed by CGF in a dose-dependent manner.
Moreover, CGF also significantly decreased the intracellular triglyceride content in
adipocytes dose-dependently (Figure 12(A)). It is noteworthy that all concentrations
tested significantly (p < 0.05) reduced intracellular triglyceride accumulation compared
to untreated control adipocytes. Moreover, the adipogenesis-related protein expression
level of PPARγ was assessed by western blot. Fruit CGF at three concentrations of 100,
200 and 300 µg/mL were added with each medium change over the course of
adipogenesis with untreated cells acting as control groups. As shown in Figure 12 (B), a
key transcription factor of adipocyte differentiation, expression level of PPARγ was
down-regulated dose dependently which was in accordance with the morphological data
as well as decreased intracellular triglyceride content.
47
Figure 11. Oil-Red-O stained adipocyte on Day 8. Fruit CGF extract at three
concentrations of 100 (b), 200 (c) and 300 µg/mL (d) were added with each medium
change during the entire adipogenesis process. The untreated cells acted as control groups
(a). Intracellular lipid droplets were stained with 60% Oil-Red-O solution and
morphology was assessed by using a microscope (20x objective magnification) with a
digital camera as described above in Research Design and Methods. Pictures represent
one of three independent experiments. All three experiments showed similar pattern.
48
Figure 12. The effect of fruit CGF on triglyceride accumulation (A) and PPARγ
expression (B) in adipocytes. Preadipocyte were induced to differentiate by a cocktail
treatment with CGF extract at concentration ranging from 100 – 300 µg/mL added with
each medium change during the entire adipogenesis process. The untreated cells acted as
control groups. In triglyceride content test (A), three replicates were performed for each
treatment and repeated three separated times. Protein expression level of PPARγ (B) was
analyzed by western blot. The relative expression of protein was quantified using the
software GelPro 32 and calculated according to the reference bands of Beta Actin. The
data are expressed as a percentage, relative to PPARγ expression in control group. All
values are expressed as means ± standard deviation of three experiments. Means with
different letters (a, b, c) are significantly different (p < 0.05).
49
4.5 Inhibited Adiponectin Secretion from Differentiated Adipocytes
The secretory amount of adiponectin in medium of mature adipocytes was
suppressed after both 12 h (Figure 13 (A)) and 24h treatment (Figure 13 (B)) of fruit
CGF when compared to untreated adipocytes. Especially at concentration of 200 µg/mL
and 300 µg/mL, the band intensity of adiponectin significantly decreased 29.5% and
61.7% after 12 h incubation; 12.6% and 32.8% for 24 h treatment. In contrast, when
differentiated adipocytes were treated with Troglitazone at the concentration of 10 µM
for 12 h and 24 h (Figure 13 (C)), adiponectin amount in medium was increased in a
time-dependent manner which was in accordance with previous findings by Huypens et
al (53). After 12 h, Troglitazone treatment also increased 137.2% band intensity
compared to 12 h control (0.02% DMSO in medium) while after 24 h treatment, the band
intensity significantly increased 849.5% when compared to 24 h control (0.02% DMSO
in medium).
50
Figure 13. Adiponectin secretion is inhibited by fruit CGF in a dose-dependent manner.
Differentiated adipocytes on Day 8 were exposed to fruit CGF in indicated concentrations
for 12 hours (A) and 24 hours (B). The untreated cells acted as negative control groups
while 10 µM TZD treated cells (C) acted as positive controls. Ten µL medium was taken
for detection of released adiponectin by Western blotting. The number of viable
adipocytes was measured by Trypan Blue exclusion. Band intensity of Adiponectin was
quantified using the software GelPro 32 and normalized to viable cell number. Data are
expressed relative to untreated control group cells (100%) and represented means ±
standard deviation from three independent experiments. * denotes p[...]... investigate whether a concentrated saponin fraction (CGF) extracted from both M charantia fruit and seed show a potential as PPARγ agonist by evaluating their effects and relevant mechanisms of in the 3T3- L1 murine cell line (1) To optimize methods of extracting and concentrating saponin fractions from both M Charantia fruit and seed and to obtain lyophilized CGF in powder for further in vitro 23 experiments... illnesses as well as manage chronic diseases, most notably diabetes, in the traditional medicinal systems of many cultures worldwide, including those of the Asian Indians, Chinese and South Americans [79] Besides anti-diabetic properties, M charantia has also been credited with antiviral, antitumor, 13 antileukemic, antibacterial, anthelmintic, antimutagenic, antimycobacterial, antioxidant, antiulcer, anti-inflammatory,... in deionized water Concentrated aqueous extract Lyophilization Fruit CGF in powder form Figure 6 Schematic representation of methodology used in preparation of concentrated goyasaponin fraction from M charantia fruit 26 2.2 Preparation of Concentrated Goyasaponin Fraction from M charantia Seed Sun-dried M charantia seeds were purchased from a local herbal store (Ban Lee Huat Seed Pte Ltd., Singapore)... of any potential for its development into a nutraceutical product 24 CHAPTER 2 CONCENTRATION OF GOYASAPONIN FRACTIONS 1 Objectives (1) Sample preparation of CGF from both M Charantia fruit and seed for further in vitro experiments (2) Component analysis of CGF by HPLC-MS based on molecular weight confirmation 2 Materials and Methods 2.1 Preparation of Concentrated Goyasaponin Fraction from M charantia... Aqueous phase (Discarded) Removal of n-butanol and dissolved in deionized water Aqueous extract Solid phase extraction using Amberlite® XAD-4; eluted with ethanol Ethanolic extract Removal of ethanol and dissolved in deionized water Concentrated aqueous extract Lyophilization Concentrated Seed Goyasaponin Fraction in powder form Figure 7 Schematic representation of methodology used in preparation of concentrated. .. formulae and structures of selected momordicosides 22 5 Overall Hypotheses, Objectives and Implications of This Study 5.1 Overall Hypotheses A concentrated goyasaponin fraction (CGF) from M Charantia fruit was obtained using an extraction and concentration method It is hypothesized that this fruit CGF shows a potential as a PPARγ agonist and plays a similar role as TZDs which can influence preadipocyte... resistance [67] In addition, TZDs were proved to activate AMPK in rat liver and adipose tissue but it remains unclear whether this is a direct effect and/ or mediated by PPARγ via increasing plasma level of adiponectin [68] However, the safety of earlier generation TZD has been questioned as well as concerns over common side effects of newer generation of TZD such as weight gain, edema and heart failure... Metformin, on the other hand, achieve hypoglycemic effects principally via suppressing hepatic glucose output [54] It was found that metformin might mediate its insulin-sensitizing effect by directly activating AMPK pathway in rat liver and muscle [66] In addition, a clinical study on type 2 diabetes patients demonstrated that metformin caused a significant increase in AMPK α2 activity in muscle after...Table 1 Current therapeutic agents for type 2 diabetes Class Molecular Target(s) Sites of Action Main mode of action Adverse Effects Liver, muscle Decrease hepatic glucose output; Increase peripheral glucose uptake Gastrointestinal Disturbances; lactic acidosis PPARγ Fat, liver, muscle Increase insulin sensitivity Weight gain; Oedema; Anaemia SU receptor/ K+ ATP channel β -cell Increase insulin secretion... activity and other beneficial effects against associated complications [96] However, the active antidiabetic component of M charantia has not been adequately identified, although a wide range of compounds have been isolated, notably steroidal-like saponins such as 14 cucurbitane-triterpene glycosides, oleanane-triterpene saponins [97] and proteins including insulin-like polypeptide-p and napin-like ... their effects and relevant mechanisms of in the 3T3-L1 murine cell line (1) To optimize methods of extracting and concentrating saponin fractions from both M Charantia fruit and seed and to obtain... Preparation of Concentrated Goyasaponin Fraction from M charantia Fruit M charantia fruit was purchased from a local supermarket, washed, separated from the seeds and aerial fibers, cut into small... representation of methodology used in preparation of concentrated goyasaponin fraction from M charantia fruit 26 2.2 Preparation of Concentrated Goyasaponin Fraction from M charantia Seed Sun-dried