1,25-Dihydroxyvitamin D 3 and Retinoic Acid in vitro Modulation of PPARγ and Insulin Resistance in Diabetes Mellitus II Brian Covello Florida Southern College Research: Molecular Biology December 1 st , 2012
Jun 14, 2015
1,25-Dihydroxyvitamin D3 and Retinoic Acid in vitro Modulation of PPARγ and Insulin Resistance in
Diabetes Mellitus II
Brian Covello Florida Southern College
Research: Molecular Biology December 1st, 2012
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Abstract
1,25-Dihydroxyvitamin D3 (D3) and Retinoic Acid (RA) have previously been reported to
down-regulate the master controller of adipogenesis, nuclear receptor PPARγ (Yoshifumi, 1998).
This receptor plays a significant role in understanding diabetes mellitus II, and a class of anti-
diabetic drugs has been found to agonistically bind to PPARγ. For the first time, this study seeks
to combine the aforementioned metabolites together in one treatment scheme. This is a crucial
component for creating a direct relation to in vivo studies, as only concentrations of these
metabolites are found in human serum. We hypothesized that a combined treatment of D3 and
RA will have a synergistic effect upon PPARγ, causing novel protein changes when compared to
individual treatments and leading to a greater down-regulation than previously reported
(Yoshifumi, 1998). Through immunofluorescence microscopy and SDS-PAGE, one is able to see
localization of PPARγ throughout all treatments compared to the positive control, indicating no
mechanism of action for delocalization. Several protein band changes were noted for micromolar
combination and nanomolar combination treatment. Further research through western blot is
warranted to identify these proteins.
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Introduction
Twenty five million people within the United States are currently inflicted by
Diabetes Mellitus 2 (Powers, 2005). If current statistical trends continue, by 2050, 1 in 3 US
adults will have diabetes (Powers, 2005). Among adults, diabetes is the leading cause of
kidney failure, new cases of blindness, and amputations of the lower extremities not
related to accidents or injury (Powers, 2005). Insulin is an endogenous hormone
synthesized in the beta cells of the islet of Langerhans located in the pancreas. In normal
human physiology, an increase in blood glucose levels stimulates release of insulin. This
hormone is responsible for regulating glucose metabolism through an increased uptake of
glucose and a decrease in gluconeogenesis. Cellular uptake of glucose allows it to be broken
down for energy. There are two main types of diabetes. In type one, the body fails to
produce insulin. In type two, the body produces insulin, yet cells have acquired a resistance
to insulin (Powers, 2005). Type two diabetes has been heavily correlated with obesity,
particularly in the form of new adipocyte formation in the abdominal section
(Wajchenberg, 2000). Some of the most promising research of type two diabetes lies in
examination of insulin resistance and adipocyte differentiation.
Peroxisome proliferated activated receptors (PPAR) are a family of nuclear
receptors that act in coordination with a ligand to become bound complexes that are
capable of DNA transcription (Liang, 2006). There are three subtypes of PPAR: PPARα,
PPARβ, and PPARγ. PPARα expression is highest in the liver, where it is thought that this
receptor acts to regulate fatty acid metabolism (Liang, 2006). PPARβ is ubiquitously
expressed throughout the body and is heavily correlated with cancer, infertility, and
dyslipidemia (Diaradourian, 2005). Finally, PPARγ, the receptor of interest for this
research, is predominantly found in tissues of the kidney, liver and small intestine, where it
is found to modulate adipocyte differentiation and insulin sensitivity (Diradourian, 2005).
The physiological consequences of PPARγ protein expression make it a prime target for
studying type two diabetes. PPARγ has three main isoforms, namely, PPARγ1, PPARγ2, and
PPARγ3. (Bogazzi, 2007). These isoforms arise due to different promoter usage and splicing,
which may ultimately lead to transcription of different genes (Desvergne, 1999). These
isoforms, combined with variations of ligands, co-‐activators, co-‐repressors and post-‐
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translational modifications through phosphorylation lead to a high degree of complexity.
Upon ligand binding, PPARγ heterodimerizes with retinoid X receptors (RXR), forming a
PPARγ-‐RXR complex that can bind to the PPAR response element (PPRE) and cause
transcription to take place, ultimately leading to transactivation protein changes
(Desvergne, 1999). Transactivation activity includes up-‐regulation of the adipocyte fatty
acid-‐binding protein, acyl-‐CoA synthase, lipoprotein lipase, c-‐Cbl associating protein,
phosphoenolpyruvate carboxykinase, fatty acid transport protein, and insulin receptor
substrate 2, and down-‐regulation of TNFα, leptin, plasminogen activator inhibitor-‐1,
resistin, IL-‐6 and 11-‐beta hydroxysteroid dehydrogenase type 1 (Rangwala, 2005). These
proteins are responsible for lipid metabolism and regulation of insulin resistivity.
A class of anti-‐diabetic drugs known as thiazolidinedione derivatives (TZDs), work
as agonistic ligands on PPARγ (Diradourian, 2005). Thus, TZDs are thought to enhance
insulin sensitivity through binding and subsequent regulation of PPARγ (Grimaldi, 2007).
In addition to thiazolidinediones -‐ fatty acids, hypolipidemic drugs, plasticizers, and
steroids have all been shown to activate PPARs (Kong, 2006).
RXR supply within a cell is limited, and a series of other receptors, such as vitamin D
receptor (VDR) and retinoid A receptor (RAR), also heterodimerize with RXR (Yoshifumi,
1998). Thus, competition abounds between PPARγ, VDR, and RAR for a common
heterodimeric partner (Yoshifumi, 1998). This fact has correlated VDR, RAR, and their
corresponding ligands, 1,25-‐dihydroxyvitamin D3 and retinoic acid respectively, into
studies of PPARγ and diabetes mellitus type two. In fact, vitamin D insufficiency has long
been associated with obesity (Martini, 2005). Earlier this year the American Medical
Association recommended an increase in vitamin D consumption for infants.
In response to ultraviolet radiation, epithelial cells produce fat-‐soluble vitamin D,
which is converted to its metabolite, 1,25-‐dihydroxyvitamin D3 by the liver (Kong, 2006). In
1988 a group of researchers hypothesized and showed that 1,25-‐dihydroxyvitamin D3 has
an inhibitory effect on proliferation and differentiation of 3T3-‐L1 cells (Ishida, 1988). They
tested concentrations of the vitamin D metabolites at 10-‐10,10-‐9,and 10-‐8M (Ishida, 1988).
This paper reported a decrease in differentiation and proliferation of adipocytes of 67%
less than the control at 10-‐8 molar concentrations. Even at 10-‐10 molar concentration of
1,25-‐dihydroxyvitamin D3, true human serum concentrations, a significant reduction of
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adipocyte differentiation was examined, yet an exact cellular method was still unknown
(Ishida, 1988). Ten years later, a separate group of researchers showed that 1,25-‐
dihydroxyvitamin D3 inhibits PPARγ expression. This research led to the beginning of
understanding the underlying mechanism responsible for inhibition of adipocyte
differentiation and proliferation (Yoshifumi, 1998). This research concludes that vitamin D
insufficiency may cause obesity through repressed inhibition of PPARγ. The consequences
of an increased amount of PPARγ would correlate to increased adipocyte differentiation
and obesity. Retinol or Vitamin A, is another fat soluble vitamin (Yoshifumi, 1998). Retinol
may be taken up by cells and oxidized to retinoic acid by a series of enzymes. Retinoic acid
also produced an inhibitory effect on the expression of PPARγ. 1μM concentrations of
retinoic acid and 1,25(OH)2D3 were utilized, and it was found that 1,25(OH)2D3 had a
greater inhibitory effect on PPARγ expression than retinoic acid (Yoshifumi, 1998).
Several gaps exist between amongst previous research that deserves examination.
The effects of 1,25-‐dihydroxyvitamin D3 and retinoic acid have only been tested on 3T3-‐L1
cells in the process of differentiation. No effects have been tested on pre-‐adipocytes with
non-‐induced differentiated or terminally differentiated adipocytes. 3T3-‐L1 is a cell line of
pre-‐adipocytes that express PPARγ. Upon correct treatment, these cells can be induced to
differentiate into adipocytes, making them a prime target for adipogenesis research.
Additionally, all research conducted of the effects of these metabolites have been
conducted on PPARγ that is ligand bound to TZDs. No research exists which examines the
effects of these metabolites on non-‐ligand bound PPARγ. Mixed concentrations of these two
substances have also not been tested on PPARγ protein expression. Research into mixtures
of these metabolites is crucial, as only mixtures of these metabolites are present in the
human body. Research into this area may be able to better predict in vivo results. There is
currently a wealth of research into ligand binding activity of PPARγ, however, ligand
binding to PPARγ does not necessarily correlate to transactivation, as cofactors, co-‐
repressors and phosphorylation form a complex sequence of events from DNA to mRNA to
protein (Diardourian, 2005). In order to better understand insulin resistance with respect
to type two diabetes, transactivation studies must be conducted. Surprisingly, research into
transactivation protein changes with regard to PPARγ modulation is lacking.
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This proposal incorporates three main installments of research to be carried out
over multiple semesters. The first part of this proposal will specifically examine the mixed
effects of 1,25-‐dihydroxyvitamin D3 and retinoic acid on PPARγ expression in chinese
hamster ovary cells. The second portion of this research will focus on the effects of the
same metabolites on 3T3-‐L1 cells the have been induced to differentiate. The last portion of
this research project will deal specifically with transactivation protein expression of
PPARγ, and the study will focus on a number of different proteins that play an integral role
in insulin resistance, glucose metabolism and gluconeogenesis. At this stage, other variants
of PPAR may be studied in order to gain a better perspective of biochemical action. The
goal of this research project is to fill the gaps in the existing research. By utilizing mixed
concentrations of metabolites, one may begin to piece together a more holistic picture of
PPARγ’s role in insulin resistance inside an organism. The hypothesis proposed is that
mixed concentrations of 1,25-‐diyhydroxyvitamin D3 and retinoic acid will have an even
greater inhibitory effect on PPARγ protein expression than 1,25-‐dihydroxyvitamin D3
alone, and less 1,25-‐dihydroxyvitamin D3 will be needed to produce the same inhibitory
effect when it is mixed with small amounts of retinoic acid. Also, not only will PPARγ
protein expression be down-‐regulated as a result of combining the metabolites, but all
downstream consequences both during adipocyte differentiation and transactively should
be affected accordingly.
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Fig 1A portrays the intricate pathway of PPARγ in adipocytes. Upon ligand binding,
PPARγ heterodimerizes with RXR to act as a transcription factor, inducing a number of
protein changes that ultimately control insulin resistance and adipogenesis.
Fig 1B shows PPARγ (purple) heterodimerized with RXR (green) near the PPAR
response element (PPRE). Only when bound to RXR can PPARγ act as a transcription factor.
VDR and RAR compete with PPARγ for a limited amount of RXR.
Materials and Methods Materials
1,25 (OH)2 D3 was purchased from Sigma (St. Louis, MO, USA) and RA from Sigma (St. Louis,
MO, USA). Primary antibody was from BD transduction laboratories and was a polyclonal rabbit
anti-PPAR specification. Secondary antibody was alexa fluora goat anti-rabbit SFX kit. All other
chemical were guaranteed reagent grade or tissue culture grade.
Cell Culture & Treatments
Treatments were conducted for 24 hours each. Treatment numbers for lysate correspond to lane
numbers in Figure 7. Dr. Emily Bradshaw maintained Chinese hamster ovary cells. Cells were
grown until 70% confluence. RA and 1,25 (OH)2 D3 were dissolved in a solution containing
ethanol, whose concentration in each well was less than 0.1% v/v and added at the same time to
incomplete media and ultimately the cells. Cells were investigated before treatment and after
treatment for confluence and survival.
SDS-PAGE
Upon finalization of treatment, a protein lysate was generated, in which nuclei were removed
from the cells. Enumeration of protein took place through use of spectrophotometry. A standard
curve was generated, for use as a comparison for the protein curve. Using the ascertained lysate
concentrations, identical amounts of proteins were pipetted into each well. Separation of proteins
took place through SDS-PAGE. A molecular marker was utilized in the first well, and weight
was measured in kDa. Two trials took place.
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Immunofluorescence
Cells were washed 3x with PBS-MgCl2 quickly at room temperature, and then fixed utilizing 3%
paraformaldehyde. Cells were washed again and then permeabilized with solutions of NH4Cl and
Triton 0.1%x. They were then blocked for 1 hour with PBS-MgCl2-BSA. Cells were placed in a
1:25 dilution with primary antibody. This was followed by an additional wash and staining with
a 1:25 dilution of secondary antibody. Sun exposure was avoided during this process as the
secondary antibody is photosensitive. Glass coverslips were seated onto mounting media. All
pictures were taken with a Canon. Bright light microscopy was taken with 40X objective, while
fluorescent pictures were taken under oil immersion with a 100X objective. Two trials took
place. All photographs were taken by Brian Covello with a Canon on manual settings.
Table 1
Table 1 represents the treatment matrix for lysate generation. Incomplete media was
utilized as the control, as this was the solution that the vitamin metabolites were placed into.
Table 2
Table 2 represents the treatment matrix for immunofluorescence microscopy. Incomplete
media was utilized as a negative control, while 1% EtOH was utilized as a positive control (Powers, 2005).
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Results
Figure 2 (Concentration Curve)
Figure 2A-2H corresponds to immunofluorescence treatments 1-8. Figure 2 above
indicates that none of the treatments had an abrupt effect on cell shape or concentration. Cells
were treated at about 70% confluence, and they retained this confluence level throughout the
treatments. No detrimental effects are shown in these pictures. All pictures were taken under a
40X objective lens by Brian Covello.
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Figures 4A-4L and Figures 5A-5H (Immunofluorescence)
Figures 5A-5H clearly show elongated mammalian cells with no evidence of bacteria or
additional microorganisms. Cells have maintained a confluence between 70-80%. In addition, the
edges of the plasma membranes of these cells are able to be distinguished from the background.
For further evidence of survival, Figure 5C, 5E, and 5H depicts cells mid-cytokinesis. Figure
4A shows clear localization of protein around the nucleus of the cells. The positive control cell in
Figure 4B indicates translocation of protein into the cytosol. Figures 4C-4E indicate
localization of protein similar to that of the negative control. When Figures 4E, 4F, and 4G are
compared to the negative control, slight staining outside of the nucleus may be seen, however,
compared to the positive control these figures fail to produce the same type of drastic
translocation into the cytosol. Figures 4I-4L have been manipulated with adobe photoshop to
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better depict the boundaries of protein staining. Even adjusting saturation for better view of
background staining fails to show staining of the cytosol.
Figure 6A (Standard Curve)
Figure 6A was generated using protein standards with known concentrations and
obtaining absorbance with a spectrophotometer. By utilizing the equation for this line, one is able
to calculate an unknown protein concentration for a treated lysate given the absorbance. In this
manner, the table was created below.
Table 3
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Table 3 shows treatment in the left column and concentration of the lysates generated by
the treatment in the right column. Using these numbers 50 micrograms of protein was measured
in milliliters and placed in one of the five wells for SDS-PAGE.
Figure 7A-B (SDS-PAGE)
Protein concentrates of prepared lysates were determined using a standard curve
generated with an R-squared value of 0.9895. Figure 7A shows disappearance of protein in lanes
4 and 5 in the 28kDa to 33kDa range, while Figure 7B shows disappearance of protein greater
than 155kDa and between 96kDa and 71kDa.
Discussion The present study has demonstrated that RA and 1,25 (OH)2 D3 do not cause any
translocation of PPARγ out of the nucleus and into the cytosol. However, several protein bands
disappeared with SDS-PAGE analysis. It appears that a combined treatment of RA and 1,25
(OH)2 D3 cause protein changes that are not present in solitary metabolite treatments.
A bidirectional approach of immunofluorescence microscopy and SDS-page was
implemented to analyze the effects of RA and 1,25 (OH)2 D3 on nuclear receptor PPARγ. The
concentration of cells did not change throughout any of the treatments, and the bright light
microscopy in figure 5 depict elongated cells with apparent nuclei, indicating that cells survived
the treatment. Additionally, the concentrations of cells were maintained. The negative control of
incomplete media shows localization of PPARγ around the nucleus. This is to be expected, as
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PPARγ is a nuclear receptor. The positive control of 1% EtOH indicates diffusion of PPARγ out
of the nucleus. None of the treatments show such distinct and broad translocation out of the
nucleus when compared to the positive control. Even pictures specifically enhanced to show
staining not originally caught on camera in figures 4I- 4L fail to portray staining outside of the
nucleus. Thus, this data indicates that neither vitamin D treatment, vitamin A treatment, or a
combined mixture of the two translocate PPARγ out of the nucleus. This however, does not
exclude the possibility of PPARγ down-regulation or modulation, as these changes cannot be
detected through immunofluorescence microscopy.
Comparing mixed treatments to individual treatments, mixed RA and 1,25 (OH)2 D3 caused
a disappearance of protein between 33 and 48kDa. Thus, this protein change may take place
through a synergistic mechanism of combined RA and 1,25 (OH)2 D3, ultimately providing some
support to the original hypothesis. Additionally, the nanomolar combined treatment portrays a
disappearance of a protein between 71kDa and 96kDa. It is interesting to note that this change
does not take place with the micromolar combined treatment. This warrants further investigation
as nanomolar concentrations occur in human serum. Ultimately, this data indicates no changes in
positioning of PPARγ as caused by 1,25-dihydroxyvitamin D3 or retinoic acid, but several
protein changes do occur in the combined treatment that are absent in individual treatments.
There are several advancements that must be taken for more conclusive evidence. First,
although a standard curve was generated with an R-squared value of 0.9895, it seems as if
different protein amounts were placed into the wells. This may be due to human or mathematical
error. In order to exclude the possibility that changes in SDS-page occurred through this original
protein distribution, another standard curve must be calculated and a third trial must take place.
Additionally, it is still unknown if PPARγ was up-regulated or down-regulated by the treatments.
In order to analyze this data, western blot analysis must take place. In addition to examination of
PPARγ, western blot may also indicate which proteins disappeared with the combined
treatments.
A transition to 3T3-L1 pre-adipocytes will also prove beneficial in the future, as these
cells are better able to predict consequences as related to diabetes mellitus type II. Insulin,
dexamethasone and 3-isobutyl-1-methylxanthine (IBMX) at concentrations of around 1
microgram/mL, 0.25micromolar, and 0.5mMrespectively have been shown to effectively induce
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differentiation of 3T3-L1 cells (Tang et al., 2012). By inducing differentiation, one may better
predict in vivo results.
Ultimately, this research was successful in beginning to unravel the complexity of
interactions of RA, 1,25 (OH)2 D3, and PPARγ. This study provides a strong foothold for future
studies aimed at bridging basic and translational research for diabetes mellitus type two. The
objectives for this research are widespread. In vitro studies that directly mimic human
physiology may help explain drug interactions. By unraveling these mechanisms, this research
may lead to better dietary suggestions for those patients currently taking TZDs as an anti-diabetic
treatment. While some support was provided for the original hypothesis, more research is
warranted for a better understanding of the PPARγ pathway and its role in adipogenesis and
insulin resistance.
Acknowledgements Thank you Florida Southern College for providing the funding and laboratory space that
made this project possible. Dr. Jung Liu from Mayo Clinic for the 3T3-L1 Cells, Dr. Emily
Bradshaw for material acquisition and cell culture maintenance along with much needed
guidance and direction, and fellow researchers and colleagues for their support.
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