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Evaluating Time-Dependant Effects of
Maximal Electroshock on GFAP and
NeuN Immunostaining in Rats
TERESA DUARTE
ANTICONVULSANT DRUG DEVELOPMENT (ADD) PROGRAM
Westminster College, Junior
INTRODUCTION
Anticonvulsant Drug Development Program
• Uses animal and in vitro models of seizures and epilepsy to
identify new antiepileptic agents.
Why is this important?
•Epilepsy
1 in 26
Over 50 million people worldwide
Neurological disorder
Repeated seizures
What is a seizure?
• Disturbed brain activity
• Behavioral/Attention changes
•Treatments are available, but more are needed
MES Testing
Maximal Electroshock (MES) Model of Seizures
• Common model for routine screenings
• Used to identify potential anti-seizure drugs
5% of male Sprague-Dawley rats do not respond to MES
• Do not have a tonic-clonic seizure with hind-leg extension
• “Responders” vs. “non-responders” (R vs. NR)
Male Sprague-Dawley rats were stimulated via MES (50 Hz)
• Animals euthanized at 5, 60 and 120 min after MES
• Tissue sections used are from this test
• Different neuroanatomy in NR vs R
Analysis of the Rat Hippocampus
Dentate Gyrus
Hippocampus
Analysis of Protein Expression by
Immunohistochemistry
Proteins of Interest
• NeuN  Neurons
• GFAP  Astrocytes  Type of Glial Cell
• DAPI  Marker for nuclei of all cells
Images were Captured and Analyzed
• Fluorescence microscopy
• Densitometric analysis
• Quantification of total signal
EXPERIMENTAL
GFAP/NeuN Protocol
Brain tissue is sliced and mounted onto slides, stained
with NeuN and GFAP antibodies, followed by DAPI.
DAPI Stain NeuN Stain GFAP Stain
100 um
Composite Image
DAPI – Yellow
NeuN – Cyan
GFAP - Magenta
DAPI Stain
(Nuclei)
NeuN Stain
(Neurons)
GFAP Stain
(Astrocytes)
Dentate (In Hippocampus) Imaging
100 um
COMPOSITE IMAGE
Purple – GFAP
Yellow – NeuN
Green -- DAPI
10 um
GFAP Expression in NR vs R
• two time points
•Sample size was small
R
e
s
p
o
n
d
e
r
N
o
n
-R
e
s
p
o
n
d
e
r
0
2 0
4 0
6 0
8 0
G F A P 6 0 M P e rc e n t A re a
6 0 M in u te s A fter M E S
PercentAreawithSignal
R
e
s
p
o
n
d
e
r
N
o
n
-R
e
s
p
o
n
d
e
rs
0
2 0
4 0
6 0
8 0
G F A P 1 2 0 M P e rc e n t A re a
1 2 0 M in u te s a fte r M E S
PercentAreawithSignal
R
e
s
p
o
n
d
e
r
N
o
n
-R
e
s
p
o
n
d
e
r
0
2 0
4 0
6 0
8 0
1 0 0
G F A P 6 0 M M e a n G ra y
6 0 M in u te s A fter M E S
MeanGrayValueofLabeledPixels
R
e
s
p
o
n
d
e
r
N
o
n
-R
e
s
p
o
n
d
e
r
0
2 0
4 0
6 0
8 0
1 0 0
G F A P 1 2 0 M M e a n G ra y
1 2 0 M in u te s a fte r M E S
MeanGrayValueofLabeledPixels
NeuN Expression in NR vs R
R
e
s
p
o
n
d
e
r
N
o
n
-R
e
s
p
o
n
d
e
r
0
2 0
4 0
6 0
8 0
N e u N 6 0 M P e rc e n t A re a
6 0 M in u te s A fte r M E S
PercentAreawithSignal
R
e
s
p
o
n
d
e
r
N
o
n
-R
e
s
p
o
n
d
e
r
0
2 0
4 0
6 0
8 0
N e u N 1 2 0 M P e rc e n t A re a
1 2 0 M in u te s a fte r M E S
PercentAreawithSignal
R
e
s
p
o
n
d
e
r
N
o
n
-R
e
s
p
o
n
d
e
r
0
5
1 0
1 5
N e u N 6 0 M M e a n G ra y
6 0 M in u te s A fte r M E S
MeanGrayValueofLabeledPixels
R
e
s
p
o
n
d
e
r
N
o
n
-R
e
s
p
o
n
d
e
r
0
5
1 0
1 5
N e u N 1 2 0 M M e a n G ra y
1 2 0 M in u te s a fte r M E S
MeanGrayValueofLabeledPixels
*
Significant results in NeuN
120 M Mean Gray value
All these data suggest a
potential difference in
neuronal density between
NR and R
5
M
in
u
te
s
6
0
M
in
u
te
s
1
2
0
M
in
u
te
s
0
2 0
4 0
6 0
G F A P R P e rc e n t A re a
T im e A fte r M E S
PercentAreawithSignal
5
M
in
u
te
s
6
0
M
in
u
te
s
1
2
0
M
in
u
te
s
0
2 0
4 0
6 0
8 0
1 0 0
G F A P R M e a n G ra y
T im e A fte r M E S
MeanGrayValueofLabeledPixels
5
M
in
u
te
s
6
0
M
in
u
te
s
1
2
0
M
in
u
te
s
0
2 0
4 0
6 0
8 0
N e u N R P e rc e n t A re a
T im e A fte r M E S
PercentAreawithSignal
5
M
in
u
te
s
6
0
M
in
u
te
s
1
2
0
M
in
u
te
s
0
5
1 0
1 5
N e u N R M e a n G ra y
T im e A fte r M E S
MeanGrayValueofLabeledPixels
No significant results.
Does time after MES affect NeuN and GFAP protein expression?
CONCLUSION
 The MES Test is a very useful model of seizures to identify new drugs for the
treatment of epilepsy.
 The development of new antiepileptic drugs is imperative towards ameliorating
epilepsy.
 Its important to have well validated and well understood animal models to best
develop drugs.
 This project may suggest that there are neuranatomical differences in the
expression of cell specific proteins between MES R and NR.
Future Direction
Increase sample size for R and NR
Evaluate other cell specific markers found in the brain (i.e microglia)
Dr. Melissa Haliski
Dr. Steve H. White
ADD Program Laboratory Staff
Graduate Preparation Institute – The University of Utah
Identification
MES
32 mA 6 Hz test
Corneal kindled mouse
Bursting hippocampal slice
Initial Differentiation
44 mA 6 Hz test
LTG-resistant kindled rat
iv PTZ seizure threshold
Behavioral toxicity tests Quantification
(time- and dose-response)
Stop
testing
inactive
Full Differentiation
Post-SE epileptic rat/mouse
Pediatric seizure or epilepsy
model
In vitro neuroprotection
One or more non-seizure
models
active
active
most promising
compounds
advance
University of Utah - Anticonvulsant Drug
Development Program
Screening of Investigational Compounds for the Treatment of
Epilepsy

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GPI Research Presentation_Teresa Edited

  • 1. Evaluating Time-Dependant Effects of Maximal Electroshock on GFAP and NeuN Immunostaining in Rats TERESA DUARTE ANTICONVULSANT DRUG DEVELOPMENT (ADD) PROGRAM Westminster College, Junior
  • 2. INTRODUCTION Anticonvulsant Drug Development Program • Uses animal and in vitro models of seizures and epilepsy to identify new antiepileptic agents. Why is this important? •Epilepsy 1 in 26 Over 50 million people worldwide Neurological disorder Repeated seizures What is a seizure? • Disturbed brain activity • Behavioral/Attention changes •Treatments are available, but more are needed
  • 3. MES Testing Maximal Electroshock (MES) Model of Seizures • Common model for routine screenings • Used to identify potential anti-seizure drugs 5% of male Sprague-Dawley rats do not respond to MES • Do not have a tonic-clonic seizure with hind-leg extension • “Responders” vs. “non-responders” (R vs. NR) Male Sprague-Dawley rats were stimulated via MES (50 Hz) • Animals euthanized at 5, 60 and 120 min after MES • Tissue sections used are from this test • Different neuroanatomy in NR vs R
  • 4. Analysis of the Rat Hippocampus Dentate Gyrus Hippocampus
  • 5. Analysis of Protein Expression by Immunohistochemistry Proteins of Interest • NeuN  Neurons • GFAP  Astrocytes  Type of Glial Cell • DAPI  Marker for nuclei of all cells Images were Captured and Analyzed • Fluorescence microscopy • Densitometric analysis • Quantification of total signal
  • 6. EXPERIMENTAL GFAP/NeuN Protocol Brain tissue is sliced and mounted onto slides, stained with NeuN and GFAP antibodies, followed by DAPI. DAPI Stain NeuN Stain GFAP Stain 100 um
  • 7. Composite Image DAPI – Yellow NeuN – Cyan GFAP - Magenta
  • 8. DAPI Stain (Nuclei) NeuN Stain (Neurons) GFAP Stain (Astrocytes) Dentate (In Hippocampus) Imaging 100 um
  • 9. COMPOSITE IMAGE Purple – GFAP Yellow – NeuN Green -- DAPI 10 um
  • 10. GFAP Expression in NR vs R • two time points •Sample size was small R e s p o n d e r N o n -R e s p o n d e r 0 2 0 4 0 6 0 8 0 G F A P 6 0 M P e rc e n t A re a 6 0 M in u te s A fter M E S PercentAreawithSignal R e s p o n d e r N o n -R e s p o n d e rs 0 2 0 4 0 6 0 8 0 G F A P 1 2 0 M P e rc e n t A re a 1 2 0 M in u te s a fte r M E S PercentAreawithSignal R e s p o n d e r N o n -R e s p o n d e r 0 2 0 4 0 6 0 8 0 1 0 0 G F A P 6 0 M M e a n G ra y 6 0 M in u te s A fter M E S MeanGrayValueofLabeledPixels R e s p o n d e r N o n -R e s p o n d e r 0 2 0 4 0 6 0 8 0 1 0 0 G F A P 1 2 0 M M e a n G ra y 1 2 0 M in u te s a fte r M E S MeanGrayValueofLabeledPixels
  • 11. NeuN Expression in NR vs R R e s p o n d e r N o n -R e s p o n d e r 0 2 0 4 0 6 0 8 0 N e u N 6 0 M P e rc e n t A re a 6 0 M in u te s A fte r M E S PercentAreawithSignal R e s p o n d e r N o n -R e s p o n d e r 0 2 0 4 0 6 0 8 0 N e u N 1 2 0 M P e rc e n t A re a 1 2 0 M in u te s a fte r M E S PercentAreawithSignal R e s p o n d e r N o n -R e s p o n d e r 0 5 1 0 1 5 N e u N 6 0 M M e a n G ra y 6 0 M in u te s A fte r M E S MeanGrayValueofLabeledPixels R e s p o n d e r N o n -R e s p o n d e r 0 5 1 0 1 5 N e u N 1 2 0 M M e a n G ra y 1 2 0 M in u te s a fte r M E S MeanGrayValueofLabeledPixels * Significant results in NeuN 120 M Mean Gray value All these data suggest a potential difference in neuronal density between NR and R
  • 12. 5 M in u te s 6 0 M in u te s 1 2 0 M in u te s 0 2 0 4 0 6 0 G F A P R P e rc e n t A re a T im e A fte r M E S PercentAreawithSignal 5 M in u te s 6 0 M in u te s 1 2 0 M in u te s 0 2 0 4 0 6 0 8 0 1 0 0 G F A P R M e a n G ra y T im e A fte r M E S MeanGrayValueofLabeledPixels 5 M in u te s 6 0 M in u te s 1 2 0 M in u te s 0 2 0 4 0 6 0 8 0 N e u N R P e rc e n t A re a T im e A fte r M E S PercentAreawithSignal 5 M in u te s 6 0 M in u te s 1 2 0 M in u te s 0 5 1 0 1 5 N e u N R M e a n G ra y T im e A fte r M E S MeanGrayValueofLabeledPixels No significant results. Does time after MES affect NeuN and GFAP protein expression?
  • 13. CONCLUSION  The MES Test is a very useful model of seizures to identify new drugs for the treatment of epilepsy.  The development of new antiepileptic drugs is imperative towards ameliorating epilepsy.  Its important to have well validated and well understood animal models to best develop drugs.  This project may suggest that there are neuranatomical differences in the expression of cell specific proteins between MES R and NR. Future Direction Increase sample size for R and NR Evaluate other cell specific markers found in the brain (i.e microglia)
  • 14. Dr. Melissa Haliski Dr. Steve H. White ADD Program Laboratory Staff Graduate Preparation Institute – The University of Utah
  • 15.
  • 16. Identification MES 32 mA 6 Hz test Corneal kindled mouse Bursting hippocampal slice Initial Differentiation 44 mA 6 Hz test LTG-resistant kindled rat iv PTZ seizure threshold Behavioral toxicity tests Quantification (time- and dose-response) Stop testing inactive Full Differentiation Post-SE epileptic rat/mouse Pediatric seizure or epilepsy model In vitro neuroprotection One or more non-seizure models active active most promising compounds advance University of Utah - Anticonvulsant Drug Development Program Screening of Investigational Compounds for the Treatment of Epilepsy