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An Examination of Retinal Vasculaturein the Early Diabetic Mouse
Item Type text; Electronic Thesis
Authors Roman, Jordan Michele
Publisher The University of Arizona.
Rights Copyright © is held by the author. Digital access to this materialis made possible by the University Libraries, University of Arizona.Further transmission, reproduction or presentation (such aspublic display or performance) of protected items is prohibitedexcept with permission of the author.
Download date 15/04/2021 16:41:01
Link to Item http://hdl.handle.net/10150/579418
AN#EXAMINATION#OF#RETINAL#VASCULATURE#IN#THE#EARLY#DIABETIC#
MOUSE#
By#
JORDAN#MICHELE#ROMAN#
###
____________________"#####
A#Thesis#Submitted#to#The#Honors#College##
In#Partial#Fulfillment#of#the#Bachelors#degree#With#Honors#in#
#Physiology#
#THE#UNIVERSITY#OF#ARIZONA#
#M#A#Y##2#0#1#5#
#####
Approved#by:##
#_________________________________#Dr.#Erika#Eggers#Department#of#Physiology#
Abstract:
Diabetic retinopathy, an eye disease caused by the long-term hyperglycemia that
is characteristic of diabetes mellitus, is the leading cause of blindness in adults in the
United States of America (CDC, 2013). With the increasing prevalence of diabetes
mellitus, especially in younger adults, diabetic retinopathy is becoming a more-
widespread problem. There are no cures for this form of retinopathy. In fact, the
treatment options that are currently available, including surgical vitrectomy, anti-VEGF
injections, and intraocular steroid injects, are not possible in the early stages of the
disease, do not eliminate the ultimate risk of blindness, and come with their own, very
serious, risks and side effects. Thus, it is necessary to characterize changes that are
occurring in the retina in the early stages of diabetes in order to find possible
therapeutic targets that will help to prevent blindness. This study focuses on the
characterizing the vasculature of the retina in STZ-treated mice (a model for type 1
diabetes mellitus) compared to control mice. The lengths and diameters of capillary
branches in each of three vascular plexuses were measured and analyzed for both
conditions, which revealed no significant differences, neither qualitative nor quantitative.
INTRODUCTION/SIGNIFICANCE:
It is reported that 29.1 million people in the United States (9.3% of the
population) have diabetes mellitus, including both type I and type II (National Diabetes
Statistics Report, 2014). A common complication of both types of diabetes mellitus is
diabetic retinopathy, which affected close to 5 million Americans in 2013 and is the
leading cause of blindness in adults in the United States (CDC, 2013). Diabetic
retinopathy is a progressive eye disease caused by changes in the vasculature of the
retina (Figure 1), which result from the long-term hyperglycemia that is a feature of
diabetes mellitus. The first stage of diabetic retinopathy is mild nonproliferative
retinopathy, which is characterized by microaneurysms occurring in the retina. The
second stage is moderate nonproliferative retinopathy, characterized by retinal blood
vessel blockage, followed by severe nonproliferative retinopathy, in which there is an
increase in the number of occluded blood vessels. The nonproliferative stages of
diabetic retinopathy also show increased leakiness of vessels in the retina, vascular
dilation, and macular edema, all of which can lead to blurred vision (Erikson et al.,
2007). The fourth and final stage of diabetic retinopathy is proliferative retinopathy in
which there is growth of new blood vessels and more pronounced leakiness and
occlusion, which can ultimately lead to blindness of the subject (NIH, 2012).
Figure 1 – Stages of Diabetic Retinopathy
#
The progression of diabetic retinopathy has been well studied in humans, but it is
difficult to assess microvascular changes that occur prior to the onset of retinopathy
because quantifying and measuring live retinal capillaries requires the use of
Fluorescein angiography, which is an invasive technique and is thus not clinically
justified for use on patients who don’t exhibit signs of retinopathy. It is important,
however, to characterize these early microvascular abnormalities because there is
evidence that visual changes occur in the early stages of diabetes, prior to the onset of
retinopathy, as well (Aung et al., 2013). These early microvascular abnormalities include
decreased visual acuity, reduced color and contrast sensitivity, and increased
electroretinogram (ERG) response times (for both rod-dominated and mixed rod and
cone responses), all of which can occur as early as four weeks after the initial onset of
diabetes, considerably prior to the onset of diabetic retinopathy, in humans and STZ-
treated rats (Gualtieri et al., 2013; Aung et al., 2013). Studies have shown that these
visual changes are not due to neuronal apoptosis in the cell layers of the retina (Moore-
Dotson et al., 2015), but further research is necessary to reveal possible therapeutic
targets to either prevent or delay the symptoms of diabetic retinopathy. This is
extremely valuable as there are currently no curative treatments for diabetic retinopathy.
In fact, most available treatments for diabetic retinopathy (including surgical vitrectomy,
laser photocoagulation, anti-VEGF injections, and intraocular steroid injections) are not
possible in the early stages of the disease and do not eliminate the ultimate risk of
blindness (Robinson et al., 2012). Furthermore, these treatment options come with their
own serious risks and side effects.
This research study aims to investigate, analyze, and compare the vasculature of
the retinas of control mice with that of mice in the early stages of STZ-induced type I
diabetes. In this case, ‘early stages’ is defined as six weeks after the initial onset of
diabetes (this number was chosen because changes in visual acuity occur at four
weeks in STZ-induced diabetic rats, Aung et al., 2013). The retinal vasculature will be
qualitatively and quantitatively evaluated through measurements of length and diameter
at three different depths (associated with the three vascular plexuses present in the
retina). Changes such as an increase in the diameter of capillaries (Burns et al., 2014)
and a decrease in the total length of capillaries due to capillary drop out (Tam et al.,
2013), defined as a loss of capillaries which leads to ischemia and ultimately
neovascularization in the later stages of retinopathy, would not be expected in this study
as these occur in the mild nonproliferative stage of retinopathy. However, there could be
changes occurring prior to retinopathy onset since there is a significant observed
decrease in retinal blood flow after four weeks of STZ-induced hyperglycemia in rats
(Yadav et al., 2011; Wang et al., 2010; Wang et al., 2011). This could be caused by a
decreased diameter of capillaries or an increase in the total length of capillaries, both of
which would reduce the rate of blood flow (Poiseuille’s Law), producing the changes
previously seen. There are other possible mechanisms for the observed decrease in
retinal blood flow, though, which could have nothing to do with the retina (a defect in
systemic blood flow, for instance). Still, it is important to look at the microvasculature in
early diabetes to see if there are abnormalities, and if these do cause visual changes, or
to rule it out. The big picture of this study, the broader context, is that any changes that
are observed and measured in the early stages of diabetes could reflect possible
targets for therapeutic treatment of diabetic retinopathy before blindness occurs in the
subject and also reveal early vascular changes that have been previously unobserved in
humans.
To study the effects of early diabetes on retinal microvasculature, an appropriate
model of diabetes is necessary. In this study, mice with streptozotocin (STZ)-induced
diabetes were used. STZ is a compound that induces type I diabetic pathology in the
model rodents by causing damage to the β-cells of the pancreas, thus resulting in
hyperglycemia and hypoinsulinemia (Graham et al., 2011). Mice treated with multiple,
low-dose STZ injections induce hyperglycemia through apoptotic β-cell death mediated
by activation of the immune system (Szkudelski, 2001). These models effectively mimic
the early stages of diabetic retinopathy, including loss of capillaries and pericytes in the
retina, vascular occlusion, and increased vascular permeability (Kern, 2009; Robinson
et al., 2012), all of which begin to occur approximately six months after the onset of
diabetes (Feit-Leichman et al., 2005). The later stages of diabetic retinopathy, including
neovascularization, are not reproducible in these models (Robinson et al., 2012),
partially due to the short lifespan of the animals, which does not allow the disease to
progress to the proliferative stage. This is not an issue for the purposes of this study,
however, as we are primarily interested in the impact of STZ-induced diabetes on
changes that occur in the retina prior to the onset of diabetic retinopathy. Visual acuity
and ERG tests showed that STZ-induced diabetes in mice effectively causes
hyperglycemia and brings about visual abnormalities, including oscillatory potential
delays, which mirror the defects seen in humans with diabetes (Pardue et al., 2014).
For the purposes of this study, it is important to understand how the vasculature
of the retina arises and how it is structured. The retina is a highly metabolically active
tissue so it requires a substantial blood supply, which it receives from two circulations:
the choroidal circulation and the retinal circulation (Harris et al, 2013). The choroidal
blood vessels, located between the retina and the sclera (Figure 2; Gariano et al.,
2004), provide nutrients to the outer part of the retina, including the pigment epithelium,
which leaves the outer nuclear layer (ONL), which consists of rod and cone
photoreceptor cell bodies, avascular (Harris et al., 2013).
The retinal circulation, which supplies the remaining portion of the retina (Harris
et al., 2013), stems directly from the central retinal artery (Erikson et al., 2007). In
rodents, the vasculature that makes up the retinal circulation arises postnatally through
the mechanism of sprouting angiogenesis, which starts in the first week of life (Okabe et
al., 2014). First, the vasculature grows along the ganglion cell layer (GCL) to form the
superficial vascular plexus (Figure 3; Okabe et al., 2014). Sprouting then occurs in the
same plane of this primary plexus toward the periphery of the retina (Gerhardt et al.,
2003) and then vertical sprouts invade the retina to establish a second plexus of
vasculature, the deep plexus (Milde et al., 2013). The deep plexus extends through the
Figure 2 – Schematic of the Eye Picture from East Valley Ophthalmology (Cataracts). #
inner nuclear layer (INL), which consists of bipolar, horizontal, and amacrine cell nuclei,
and slightly into the outer plexiform layer (OPL), which is a region of synapses between
dendrites of cells in the INL and axons of rod and cone photoreceptor cell inner
segments (Figure 3). A third and final plexus, named the intermediate vascular plexus,
is formed between the superficial and deep plexuses (Figure 3), via vertical sprouting
through the inner plexiform layer (IPL), which is a region of synapses between dendrites
of ganglion cells and axons of cells in the INL. This formation of retinal vasculature is
complete after three weeks of life and results in a planar, hierarchical, interconnected,
and 3D vascular complex that encompasses the majority of the retina (Milde et al.,
2013).
While past empirical studies have focused on the changes in vasculature that
result in visual changes that occur in the later stages of diabetes, a comprehensive
review of the literature revealed that no one has previously measured retinal vessel
length or diameter after the onset of diabetes or in the early stages of the disease. It is
Figure 3 – Retinal cell layers and vasculature LEFT – Image of stained cell layers in the retina. RIGHT – Schematic of location of each retinal vascular plexus with respect to the neuronal cell layers of the retina.
important to investigate any changes that occur in the early stages of diabetes, which
could provide valuable insight into the initiation of the pathology of diabetic retinopathy
and possible therapeutic targets to delay symptoms of the disease, and ultimately
prevent blindness. This study aims to answer the question of whether visual changes
and decreased retinal blood flow in early diabetes are caused by abnormalities in the
quality, length, or diameter of blood vessels in the retina prior to any vascular changes
due to retinopathy (which occur in the later stages of diabetes). It is hypothesized that
there will be no qualitative or quantitative differences in these measurements between
control mice and STZ-induced diabetic mice.
METHODS:
Mouse Models:
This study included 14 Wild type (WT) C57BL/6J mice, 14 transgenic Gus-GFP-
C57BL/6J mice, and 14 transgenic Mito-CFP-P C57BL/6J mice. The transgenic Gus
and Mito mice were primarily used in other experiments for their characteristic of
specifically labeling subtypes of bipolar cells through expression of GFP and CFP
(Breuinger et al., 2011; Schubert et al., 2008; Huang et al., 2003; Lin and Masland,
2005).
Seven mice from each type were injected with a solution containing 75 mg/kg of
Streptozotocin (STZ; Sigma; St. Louis, MO) dissolved in 0.01 M sodium citrate while the
remaining mice were injected only with a 0.01 M sodium citrate buffer solution when the
mice were approximately five weeks old. Each mouse received three intraperitoneal
injections over the course of three days (each after fasting for four hours prior to the
injection). The fasting levels of glucose in the blood and urine of each mouse were
measured after injections on a weekly basis through tail-tipped blood tests, using an
OneTouch UltraMini Monitoring System (LifeScan Inc; Milpitas, CA), and urine glucose
strips (YD Diagnostics; Gyeonggi-do, South Korea), respectively. The mice were also
weighed on a weekly basis. Mice were sacrificed using carbon dioxide at six weeks
post-injection and the final measurements of blood glucose and weight, taken
immediately before the mice were sacrificed, were analyzed to see if the mice injected
with STZ were diabetic (defined as a blood glucose level above 200 mg/dL) compared
to the control (Figure 3). Both the weight and blood glucose were statistically significant,
determined using a two-tailed t-test (Microsoft Excel; p < 0.05).
Immunohistochemistry:
After sacrificing the mice, their eyes were surgically removed and 4 slits were
made into the retina so that it would lay flat (Figure 5). The retinas were then fixed on
filter paper for 30 minutes using 3% paraformaldehyde. Next, the retinas were removed
n = 18 n = 18
0
5
10
15
20
25
30
Control STZ
Wei
ght (
g)
n = 15
n = 15
0
100
200
300
400
500
600
Control STZ
Blo
od G
luco
se (m
g/dL
)
* *
Figure 4 – STZ injections induce type I diabetes mellitus in mice Blood glucose and weight analysis revealed that STZ-treated mice had significantly higher levels of blood sugar (p < 0.05) and significantly lower weight (p < 0.05) compared to controls, indicating that STZ injections did induce diabetes in these mice.
from the filter paper and treated overnight with 0.5% Triton-X (Sigma; St. Louis, MO).
Tissues from WT mice were then placed in a 1:1,000 dilution of monoclonal anti-protein
kinase C primary antibody (Sigma; St. Louis, MO) in 1.0% Phosphate Buffer Solution
(PBS), 0.5% Triton-X (Sigma; St. Louis, MO), and donkey serum (Sigma; St. Louis, MO)
for a total of five days (the tissue was placed on a rocker for the duration of this time in
order to gently agitate the solutions). Tissues from Gus and Mito mice were labeled with
anti-GFP, to stain for On and OFF bipolar cells, for also placed on a rocker for 5 days.
All of the tissues were then washed with PBS three times for one hour each, after which
they were stained with the anti-mouse secondary antibody, Alexa Fluor 488 (Invitrogen;
Carlsbad, CA), which nonspecifically labels vasculature. Tissues were once again
washed with PBS three times for one hour each.
Figure 5 – Methods Schematic Four slits were made in the retina so it would lie flat on the microscope slide. 142.9 µm2 images were taken approximately 500 µm from the optic nerve head in every direction (indicated by white squares) using a confocal microscope.
VectaShield (Vector Laboratories, Inc; Burlingame, CA) was then used to mount
the tissues on microscope slides and clear fingernail polish was used to seal the slide
covers. Four 142.86 µm by 142.86 µm images of the retina were taken, one in each
region (Figure 5), at 500 µm from the head of the optic nerve using a Zeiss 510 confocal
microscope with LSM 5.0 software. Images were captured in one-micron increments
through the entire depth of the retina.
Data Analysis:
Each image was analyzed using ImageJ software. The freehand line tool was
used to trace the length of each blood vessel and the straight-line tool was used to
determine the diameter of each vessel. Measurements were made using the measure
function and were performed throughout the multiple layers of retina that contained
each vascular plexus (images show just one plane of these measurements).
Vasculature observed before or within the GCL was considered part of the superficial
vascular plexus, vessels measured in the IPL were considered part of the intermediate
vascular plexus, and vasculature found throughout the INL and OPL were considered
part of the deep vascular plexus (Figure 3).
To determine the length of blood vessels in each plexus, the length of every
branch in the vascular layers was measured and summed together. The average
diameter of blood vessels in each vascular plexus was determined by averaging four
measurements from each branch of vasculature. The lengths and diameters from the
four regions of each eye were averaged for each of three positions, corresponding to
the three vascular plexuses in the retina (Figure 3). The averages of STZ and control
mice were compared.
Diameter measurements from four WT tissues (including two control and two
STZ-treated tissues) and five MITO tissues (including three control and two STZ-treated
tissues) were excluded from analysis due to poor overall visualization of vasculature.
Length measurements from the four GUS tissues (including two control and two STZ-
treated tissues) were also excluded from analysis due to poor overall visualization of
vasculature.
Statistics:
Error bars on all plots in this document are standard error. Three-Way ANOVAs
(SigmaPlot) were utilized to determine the significance of interactions between the
position, mouse line, and condition and interactions were deemed significant if p < 0.05.
The Student-Newman-Keuls method was used for all pairwise multiple comparison
procedures.
RESULTS:
Capillary Length:
In order to determine if the length of capillary blood vessels changes in early
diabetes, the lengths of capillary branches were measured and totaled for each vascular
plexus in WT and Gus mice. When the measured lengths from each vascular plexus are
overlaid (Figure 6) there are no apparent qualitative differences in the overall
vasculature between control and STZ-treated mice of any mouse line. However, there
are apparent differences between the total lengths of blood vessels in each plexus for
both conditions in WT and GUS mouse lines (Figures 7 & 8).
Figure 6 – Overall vasculature All capillaries in the vascular plexuses were traced, measured, and overlaid for one tissue of both the control and STZ conditions of every mouse line. Yellow = superficial vascular plexus, blue = intermediate vascular plexus, red = deep vascular plexus. There are no qualitative differences between the overall vasculature of control and STZ conditions regardless of mouse line.
Figure 8 – Example of total length of capillaries in each vascular plexus of GUS retinal tissues These images are examples of individual planes that were measured. The yellow, red, and blue lines represent the length measurements. There were no qualitative differences in blood vessel length between control and STZ-treated tissues, though there were apparent differences in total length between each vascular plexus in the same condition.
Figure 7 – Example of total length of capillaries in each vascular plexus of WT retinal tissues These images are examples of individual planes that were measured. The yellow, red, and blue lines represent the length measurements. There were no qualitative differences in blood vessel length between control and STZ-treated tissues, though there were apparent differences in total length between each vascular plexus in the same condition.
10 µm
10 µm
10 µm
10 µm
10 µm
10 µm
10 µm
10 µm
10 µm
10 µm
10 µm
10 µm
There were also no quantitative differences between the length of capillaries of
control and STZ-treated mice for the WT mouse line (p = 0.705), GUS mouse line (p =
0.529), or both groups together (p = 0.477). There were also no differences between
conditions in any vascular plexus for both mouse lines (p = 0.711, 0.502, 0.805 for the
superficial, intermediate, and deep vascular plexuses, respectively) (Figures 9 & 10).
Additionally, there were no inter-mouse line differences (p = 0.088).
n = 5
n = 5 n = 5
n = 5
n = 5 n = 5
0 100 200 300 400 500 600 700 800
Superficial Intermediate Deep Aver
age
Cap
illar
y Le
ngth
(µm
)
Vascular Plexus
GUS CONTROL GUS STZ
Figure 10 – Comparison of average capillary length in GUS tissues There was no significant difference in the average capillary length between control and STZ-treated tissues in any vascular plexus (p > 0.500 in all instances).
n = 7
n = 7 n = 7
n = 7
n = 7 n = 7
0 100 200 300 400 500 600 700 800
Superficial Intermediate Deep Aver
age
Cap
illar
y Le
ngth
(µm
)
Vascular Plexus
WT CONTROL WT STZ
Figure 9 – Comparison of average capillary length in WT tissues There was no significant difference in the average capillary length between control and STZ-treated tissue in any vascular plexus (p > 0.500 in all instances).
There were significant differences between the vessel lengths in the superficial
vascular plexus and the intermediate vascular plexus for WT mice, and also between
blood vessel lengths in the superficial vascular plexus and deep vascular plexus for
both WT mice and GUS mice in both the control and STZ-treated conditions (p < 0.001
in all cases). WT mice also showed a significant difference between vessel lengths in
the intermediate and deep vascular plexuses (p = 0.044).
Capillary Diameter:
To determine if the diameter of capillary blood vessels changes in early diabetes,
four diameter measurements were taken from every branch within all three vascular
plexuses and averaged in two different groups of mice, WT and MITO. There were no
qualitative differences in the appearance of the vascular plexuses between control and
STZ-treated mice in either mouse line (Figures 11 & 12). However, the difference in the
diameter of the capillaries in each plexus is qualitatively apparent in both conditions.
Figure 11 – Example of capillary diameter measurements in each vascular plexus of WT retinal tissues These images are examples of individual planes that were measured. The red lines represent diameter measurements. There were no qualitative differences in blood vessel diameter between control and STZ-treated tissues, though there were apparent differences in the average diameter between each vascular plexus in the same condition.
10 µm
10 µm
10 µm
10 µm
10 µm
10 µm
There was not a significant difference between the diameters of vasculature in
control and STZ-treated mice for WT mice (p = 0.619), MITO mice (p = 0.373), or both
groups together (p = 0.815). There were also no intergroup differences (p = 0.060) or
differences between conditions with respect to each vascular plexus for both groups (p
= 0.655, 0.287, 0.862 for the superficial, intermediate, and deep vascular plexuses,
respectively) (Figures 13 & 14).
Figure 12 – Example of capillary diameter measurements in each vascular plexus of MITO retinal tissues These images are examples of individual planes that were measured. The red lines represent diameter measurements. There were no qualitative differences in blood vessel diameter between control and STZ-treated tissues, though there were apparent differences in the average diameter between each vascular plexus in the same condition.
10 µm
10 µm
10 µm
10 µm
10 µm
10 µm
There were significant differences between the vessel diameters in the superficial
vascular plexus and intermediate vascular plexus in both WT mice and MITO mice in
both the control and STZ-treated conditions (p < 0.05 in all instances). There were also
significant differences between the vessel diameters in the intermediate vascular plexus
n = 4 n = 4
n = 4 n = 5 n = 5
n = 5
0
0.5
1
1.5
2
2.5
3
3.5
4
Superficial Intermediate Deep
Ave
rage
Cap
illar
y D
iam
eter
(µm
)
Vascular Plexus
MITO CONTROL MITO STZ
Figure 14 – Comparison of average capillary diameter in MITO tissues There was no significant difference in the average diameter of capillaries between control and STZ-treated tissue in any vascular plexus (p > 0.250 in all instances).
n = 5 n = 5
n = 5 n = 5
n = 5
0
0.5
1
1.5
2
2.5
3
3.5
4
Superficial Intermediate Deep
Ave
rage
Cap
illar
y D
iam
eter
(µm
)
Vascular Plexus
WT CONTROL WT STZ
Figure 13 – Comparison of average capillary diameter in WT tissues There was no significant difference in the average diameter of capillaries between control and STZ-treated tissue in any vascular plexus (p > 0.250 in all instances).
n = 5
and deep vascular plexus both WT mice and MITO mice in both the control and STZ-
treated conditions (p > 0.02 in all instances).
DISCUSSION:
The main results of this study can be summarized as: (1) STZ-induced
diabetes mellitus does not affect the average length of capillary blood vessels in any of
the three vascular plexuses compared to controls, and (2) STZ-induced diabetes
mellitus does not affect the average diameter of capillary blood vessels in any of the
three vascular plexuses compared to controls.
We did see differences in both capillary length and diameter between the
vascular plexuses of each tissue, primarily between the superficial vascular plexus and
the other two vascular plexuses. This is because the vascular plexuses are not
identical. First, the superficial vascular plexus is associated with retinal astroctyes,
which secrete fibronectin – an essential component for the progression of the plexus
(Uemura et al., 2006). The intermediate and deep vascular plexuses, on the other hand,
are formed via angiogenic sprouting due to VEGF signaling (Gerhardt et al., 2003) and
are not associated with astrocytes. Furthermore, the regulation of the formation of the
deep and intermediate vascular plexuses is dependent on the TSPAN12 protein.
Deletion of TSPAN12 results in the lack of deep and intermediate vascular plexus
formation while the development of the superficial vascular plexus remains intact (Junge
et al., 2009). Another important thing to note is that the formation of vascular patterning
relies on some of the same developmental cues used by neurons (like R-cadherin, for
example), so it makes sense that more neurons will result in denser vasculature (Dorrel
et al., 2002). Finally, the intermediate and deep vascular plexuses supply nutrients to
the INL and IPL primarily – which are extremely metabolically active, meaning that they
require more blood flow, which can be achieved both my increased number of vessels
or branches, or increased diameter of vessels to provide nutrients more rapidly.
Our results also indicate that there are no microvascular changes occurring in the
retina at 6 weeks post onset of diabetes, so there must be changes elsewhere that
cause the visual defects noticed in early diabetes (Aung et al., 2013) and the decreased
retinal blood flow seen after four weeks of hyperglycemia (Wang et al., 2011; Wang et
al., 2012; Yadav et al., 2011). While recent studies have indicated that abnormalities
such as cell death and impaired signaling in the neuroretina exist in diabetics prior to
the onset of the microvascular changes characteristic of diabetic retinopathy (Antonetti
et al., 2006; Barber et al., 2011; Curtis et al., 2009; Simo et al., 2010), these are
typically identified shortly before the symptoms of retinopathy and are still occurring in
the later stages of diabetes. So, these neuroretinal irregularities are likely to worsen the
visual problems associated with the early stages of retinopathy, such as decreased
color and contrast sensitivity and reduced electroretinography response (Gardner et al.,
2011), and are not implicated in the visual changes that occur even earlier in diabetes
(during the time span investigated in this study). Similar research into the neuroretina is
necessary to determine what changes occur earlier on in diabetic patients to initiate the
visual defects observed as early as four weeks after onset of diabetes (as demonstrated
in Aung et al., 2013).
One change in the neuroretina that has been prominent in many recent studies is
neurodegeneration. In fact, accelerated neurodegeneration has been shown to occur in
retinal ganglion cells of diabetic mouse models (induced via STZ-injections) at 8 months
after the onset of diabetes (Kern et al., 2010). However, in even earlier stages of
diabetes, such as 6-weeks post-onset (the time frame this study is interested in), no
such neurodegeneration or neuronal apoptosis has occurred (Moore-Dotson et al.,
2015).
In the future, it would be better to use tissues that are stained directly with an
antibody that is selective for the vasculature, to better visualize the vasculature of the
retina as a whole. Because the antibodies used in this experiment non-selectively
stained blood vessels, certain portions of the vasculature were not easily visible. This
was true for all tissues and every vascular plexus, so the overall results of this study do
accurately characterize the retinal vasculature as a whole. However, it is the reason that
some tissues were excluded from analysis.
Since this study determined that there are no changes in the retinal vasculature
that originally stems from the optic artery, further research is necessary to identify what
changes are occurring in the visual system to explain the decreased visual acuity of
early diabetic patients. For instance, choroidal vessels, which are located between the
retina and the sclera, supply the outer nuclear layer (including the photoreceptors) and
the retinal pigment epithelium. These areas are extremely important in visual acuity and
color sensitivity, two characteristics of vision that are affected in early diabetes, so it is
definitely possible that changes in the choroidal vasculature could occur in early
diabetes, even when changes in the retinal vasculature don’t. In fact, studies have
shown that both choroidal and retinal vasculature are altered after prolonged diabetes
and that the choroidal blood flow is affected earlier on in the pathology of diabetic
retinopathy compared to the retinal blood flow (Muir et al., 2012). Also, while studies
have shown that there are no changes in the number of cells in the neuronal cell layers
of the retina in early diabetes, research still needs to be done to investigate the impact
of early diabetes on cell signaling including neurotransmitter release from these
neurons. Finally, the visual system is composed of many different neural structures,
which only begin with the retina. Thus, there could be changes or deficits in the cells of
these structures, which could affect higher order processing, or even in the vasculature
of these structures.
Overall, there is a great need for further research in this area of study to better
characterize how diabetes affects the neuroretina and, consequently, vision. Only then
will it be possible to find a therapeutic target before the retinal damage sustained due to
diabetes becomes permanent and, ultimately, leads to blindness.
REFERENCES:
Antonetti, D. A., Barber, A. J., Bronson, S. K. et al. “Diabetic retinopathy: seeing beyond
glucose-induced microvascular disease.” Diabetes 55 (2006): 2401-2411. Web.
Aung, Moe H., Kim, Moon K., Olson, Darin E., Thule, Peter M., Pardue, Machelle T.
“Early Visual Deficits in Streptozotocin-Induced Diabetic Long Evans Rats.”
Investigative Ophthalmology & Visual Science 54 (2013): 1370-1377. Web.
Barber, A. J., Gardner, T. W., Abcouwer, S. F. “The significance of vascular and neural
apoptosis to the pathology of diabetic retinopathy.” Investigative Ophthalmology
& Visual Science 52 (2011): 1156-1163. Web.
Burns, Stephen A., Elsner, Ann E., Chui, Toco Y., VanNasdale, Dean A., Clark,
Christopher A., Gast, Thomas J., Malinovsky, Victor E., Phan, Anh-Danh T. “In
vivo adaptive optics microvascular imaging in diabetic patients without clinically
severe diabetic retinopathy.” Biomedical Optics Express 5 (2014): 961-974. Web.
Breuninger T., Puller, C., Haverkamp, S., Euler, T. “Chromatic bipolar cell pathways in
the mouse retina.” The Journal of Neuroscience: The Official Journal of the
Society for Neuroscience 31 (2011): 6504-6517.
“Cataracts.” Specialist #1 in Cataract Surgery Mesa, AZ. N.p., n.d. Web. 4 Apr. 2015.
CDC. "Common Eye Disorders." Centers for Disease Control and Prevention, 23 Apr.
2013. Web.
Curtis, T. M., Gariner, T. A., Stitt, A. W. “Microvascular lesions of diabetic retinopathy:
clues towards understanding pathogenesis?” Eye 23 (2009): 1496-1508. Web.
Dorrell, Michael I., Aguilar, Edith, Friedlander, Martin. “Retinal Vascular Development is
Mediated by Endothelial Filopodia, a Preexisting Astrocytic Template and Specifc
R-Cadherin Ahesion.” Investigative Ophthamology & Visual Science 43 (2002):
3500-3510. Web.
Erickson, Kathryn K., Jeffrey M. Sundstrom, and David A. Antonetti. "Vascular
Permeability in Ocular Disease and the Role of Tight Junctions." Angiogenesis
10.2 (2007): 103-17. Web.
Feit-Leichman, R. A., Kinouchi, R. Takeda, M., Fan, Z., Mohr, S., Kern, T. S., Chen, D.
F. “Vascular damage in a mouse model of diabetic retinopathy: relation to
neuronal and glial changes.” Investigative Ophthalmology & Visual Science 46
(2005): 4281-4287.
Gardner, T. W., Abcouwer, S. F., Barber, A. J., Jackson, G. R. “An integrated approach
to diabetic retinopathy research.” Archives of Ophthalmology 129 (2011): 230-
255. Web.
Gariano, Ray F., and Thomas W. Gardner. "Retinal Angiogenesis in Development and
Disease." Nature 438.7070 (2004): 960-66. Web.
Gerhardt, H. "VEGF Guides Angiogenic Sprouting Utilizing Endothelial Tip Cell
Filopodia." The Journal of Cell Biology 161.6 (2003): 1163-177. Web.
Gualtieri, Mirella, Claudia Feitosa-Santana, Marcos Lago, Mauro Nishi, and Dora F.
Ventura. "Early Visual Changes in Diabetic Patients with No Retinopathy
Measured by Color Discrimination and Electroretinography." Psychology &
Neuroscience 6.2 (2013): 227-34. Web. 25 Mar. 2015.
Graham, Melanie L., Janecek, Jody L., Kittredge, Jessica A., Hering, Bernhard J.,
Schuurman, H. J. “The Streptozotocin-Induced Diabetic Mouse Model:
Differences between Animals from Different Sources.” The American Association
for Laboratory Animal Science 61 (2011): 356-360. Web.
Harris, Norman R., Megan N. Watts, and Wendy Leskova. "Intravital Video Microscopy
Measurements of Retinal Blood Flow in Mice." Journal of Visualized Experiments
82 (2013): n. pag. Web.
Huang, L., Max, M., Margolskee, R. F., Su, H., Masland, R. H., Euler, T. “G protein
subunit G gamma 13 is coexpressed with G alpha o, G beta 3, and G beta 4 in
retinal ON bipolar cells.” Journal of Comparative Neurology 455 (2003): 1-10.
Junge, H. J., Yang, S., Burton, J. B., Paes, K., Shu, X., French, D. M., Costa, M., Rice,
D. S., Ye, W. L. “TSPAN12 Regulates Retinal Vascular Development by
Promotion Norrin-but Not Wnt-Induced FZD4/beta-Catenin Signaling.” Cell 139
(2009): 299-311. Web.
Kern, T. S. “In vivo models of diabetic retinopathy.” In Contemporary Diabetes: Diabetic
Retinopathy (2009): 137-156. Web.
Kern, T. S., Tang, J., Berkowitz, B. A. “Validation of structural and functional lesions of
diabetic retinopathy in mice.” Molecular Vision 16 (2010): 2121-2131. Web.
Lin, B. and Masland, R. H. “Synaptic contacts between an identified type of ON cone
bipolar cells and ganglion cells in the mouse retina.” The European Journal of
Neuroscience 21 (2005): 1257-1270.
Mayo Clinic Staff. “Diabetic Retinopathy.” Diseases and Conditions. Mayo Clinic, 2015.
Web. 25 Feb. 2015.
Milde, Florian, Stephanie Lauw, Petros Koumoutsakos, and M. Luisa Iruela-Arispe. "The
Mouse Retina in 3D: Quantification of Vascular Growth and Remodeling."
Integrative Biology 5.12 (2013): 1426. Web.
Muir, Eric R., Renteria Rene C., Duong, Timothy Q. “Reduced Ocular Blood Flow as an
Early Indicator of Diabetic Retinopathy in a Mouse model of Diabetes.”
Investigative Ophthalmology & Visual Science 53 (2012): 6488-6494. Web.
National Diabetes Statistics Report: Estimates of Diabetes and Its Burden in the United
States, 2014. Atlanta, GA: U.S. Department of Health and Human Services; 2014
NIH. "Facts About Diabetic Eye Disease." Facts About Diabetic Eye Disease. National
Institutes of Health, June 2012. Web.
Okabe, Keisuke, Sakiko Kobayashi, Toru Yamada, Toshihide Kurihara, Ikue Tai-
Nagara, Takeshi Miyamoto, Yoh-Suke Mukouyama, Thomas N. Sato, Toshio
Suda, Masatsugu Ema, and Yoshiaki Kubota. "Neurons Limit Angiogenesis by
Titrating VEGF in Retina." Cell 259.3 (2014): 584-96. Web.
Pardue, Machelle T. et al. “Rodent Hyperglycemia-Induced Inner Retinal Deficits Are
Mirrored in Human Diabetes.” Translational Vision Science & Technology 3.3
(2014): 6. PMC. Web.
Robinson, R., V. A. Barathi, S. S. Chaurasia, T. Y. Wong, and T. S. Kern. "Update on
Animal Models of Diabetic Retinopathy: From Molecular Approaches to Mice and
Higher Mammals." Disease Models & Mechanisms 5.4 (2012): 444-56. Web.
Schubert, T., Kerschensteiner, D., Eggers, E. D., Misgeld, T., Kerschensteiner, M.,
Lichtman, J. W., Lukasiewicz, P. D., Wong, R. O. “Development of presynaptic
inhibition onto retinal bipolar cell axon terminals is subclass-specific.” Journal of
Neurophysiology 100 (2008): 304-316.
Simo, R., Villarroel, M., Corraliza, L., Hernandez, C., Garcia-Ramirez, M. “The retinal
pigment epithelium: something more than a constituent of the blood-retinal
barrier – implications for the pathogenesis of diabetic retinopathy.” Journal of
Biomedicine & Biotechnology (2010). Web.
Szkudelski, T. “The Mechanism of Alloxan and Streptozotocin Action in B Cells of the
Rat Pancreas.” Physiological Research 50 (2001): 536-546. Web.
Tam, Johnny, Dhamdhere, kavita P., Tiruveedhula, Pavan, Lujan, Brandon J., Johnson,
Robert N., Bearse Jr., Marcus A., Adams, Anthony J. “Subclinical Capillary
Changes in Non Proliferative Diabetic Retinopathy.” Optometry & Vision Science
89 (2013): 2-21. Web.
Uemura, A., Kusuhara, S., Wiegand, S. J., Yu, R. T., Nishikawa, S. I. “Tlx acts as a
proangiogenic switch by regulating extracellular assembly of fibronectin matrices
in retinal astrocytes.” Journal of Clinical Investigation 116 (2006): 369-377. Web.
Wang, Zhongli, Yadav, Amit Singh, Leskova, Wendy, Harris, Norman R. “Inhibition of
20-HETE attenuates diabetes-induced decreases in retinal hemodynamics.”
Experimental Eye Research 93 (2011): 1-18. Web.
Wang, Zhongli, Yadav, Amit Singh, Leskova, Wendy, Harris, Norman R. “Attenuation of
streptozotocin-induced microvascular changes in the mouse retina with the
endothelin receptor A antagonist atrasentan.” Experimental Eye Research 91
(2010): 670-675. Web.
Yadav, Amit Singh and Harris, Norman R. “Effect of Tempol on Diabetes-Induced
Decreases in Retinal Blood Flow in the Mouse.” Current Eye Research 36
(2011): 456-461. Web.