Title: Age-related changes in the hippocampal subdivisions of the rat
1Age-related changes in the hippocampal
subdivisions of the rat
- Mohammad Hosseini-sharifabad, PhD
- Department of Anatomy
- Yazd University of Medical sciences
- E-mailmhosseini81_at_yahoo.com
2Background
- Normal aging is commonly linked to a decline in
learning and memory. - Understanding the mechanisms responsible for
age-related cognitive changes remains a critical
challenge in neurobiology. - Many studies examining cellular substrates of
this age-related cognitive decline have focused
on the hippocampal formation because its
structural integrity is crucial for normal
learning and memory and because it is especially
vulnerable to the process of aging.
3Background
- The hippocampal formation shows early signs of
age- related changes in the brains of normal
humans. Age differences in total volume of the
hippocampus have been observed in healthy humans
with the use of both brainimaging methods and
stereological techniques. - Studies using modern stereological methods of
quantification have established that, in rats,
mice, monkeys and humans, the total number of
granule cells in the dentate gyrus, and pyramidal
neurons in CA3 and CA1 fields, preserved over the
life span.
4Background
- These findings support the hypothesis that an
age-related decline in hippocampal-dependent
learning and memory may result from changes in
other morphometric parameters, rather than a loss
of hippocampal neurons. -
- age-related changes in dendrites are of
particular interest since dendrites are the
targets of the majority of synapses and since
dendrites remain subject to structural changes
even into adulthood. Recent experimental studies
and models of dendritic processing suggest that
both the extent and pattern of the dendritic
arbor could influence how synaptic inputs are
integrated. -
5Background
- In human studies, the influence of age on the
hippocampus is confounded with other variables,
such as inadequate nutrition, psychological and
physical stress. - Therefore, this study aimed to determine the
effects of normal advanced aging on the
hippocampal subdivisions using animal model of
rat.
6Background
- The present study investigated the effects of
aging on the volumes of the layers in hippocampal
subregions, where the respective cell bodies or
its processes were located. - we also performed a quantitative morphological
analysis of dendritic architecture of
Golgi-impregnated hippocampal neurons from young
and aged rats.
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8Animals and Housing
- Male wistar rats were housed in a temperature-
controlled (22 2 ºC) animal room and on a 12 hr
light/ dark cycle (light on at 07.0019.00 hours)
and provided food and water until sacrifice at
6(young) and 24 (old) months of age. -
-
9Methods
- Rats were deeply anesthetized with urethan and
transcardially perfused with a phosphate-buffered
solution of 4 formaldehyde and 1
glutaraldehyde. Each brain was numbered and
cerebellum and olfactory bulb were removed. The
brains divided into hemispheres. -
10One hemisphere was selected at random for
estimating the volumes of layers, and the other
for morphometric analysis of neuronal dendrites.
Posterior portion of each hemisphere, which
contained hippocampus, was taken.
11Coronal sections of 100µm thickness were cut
serially with a calibrated vibratome into a bath
of 3 potassium dichromate in distilled water.
12Delineation of the hippocampal regions
- Discrimination between the different subdivisions
of the hippocampal formation was made according
to cell morphology. - CA1 and CA3 are fields of Cornu Ammonis DG,
dentate gyrus M Molecular layer G, Granular
layer H, Hilus, O, Oriens layer P, Pyramidal
layer R, Radiatum layer. Hematoxilin stain.
13Volume estimation
- The Cavalieri principle used to estimate the
reference volume of the constituent layers of the
hippocampal formation. A grid with a tessellation
of points, randomly positioned on each section,
and the points hitting each layer of hippocampal
layer were counted.
14Volume estimation
- The number of points, ?P, multiplied with the
area associated with each point, a (P), to obtain
an unbiased estimate of sectional area of each
profile. The sum of sectional areas of the layers
was used to estimate reference volume, V (ref),
from the following relationship, where t
represents the distance between sections. - V (ref) t. ? P. a (p) t. ? A
15Staining
- Incubate in 3 potassium dichromate in distilled
water overnight - Rinse in distilled water
- Mount on slides and glue coverslip over the
sections at four corners - Incubate in 1.5 silver nitrate in distilled
water overnight in the dark - The following day, dismantle the slide
assemblies - Rinse the tissue sections
- Rinse in distilled water
- Dehydrate in 95, followed by absolute ethanol.
- Clear the sections in xylene
- Mount onto gelatinized slides
- Coverslip
16Cell selection
- The criteria employed for selecting the neurons
to be measured were the following (1) Dark and
consistent impregnation throughout the extent of
dendrites(2) Cell bodies located in the middle
part of the section thickness to minimize branch
segments cut off at the plan of the section(3)
Relative isolation from neighbouring impregnated
cells in order not to irresolvable overlap the
dendrites of adjacent cells.
17Number of dendritic segments
- A Camera lucida drawing of the granule cell in
which the classification of the dendritic
segments is shown. The numbers represent the
degree of dendrites 1 terminal segments 2
intermediate segments originating two terminals
3, 4 intermediate segments divided in a terminal
and an intermediate segment. -
- The centrifugal ordering of dendritic trees was
used to estimate the number of dendritic segments
per cell.
18Dendritic branching density
- The branching density of dendritic trees was
evaluated by applying the method of concentric
rings. The number of dendritic intersections
crossing each concentric ring centered in the
cell body was counted. The concentric rings were
calculated at interval of 20 µm for granule cells
and 25 µm for CA3 and CA1 pyramidal cells.
Whenever the dendrites extended beyond 375 µm
(circle 15), they were included in circle 15.
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20Results
- Statistical analysis revealed there is only a
significant influence of age in the stratum
radiatum and lacunosum-molecular of the CA1
pyramidal field, in where the volume was lower in
aged than young rats (Plt0.05). Results also
showed that there is no significant difference in
total volume of hippocampus between aged and
young rats.
21Results
- T-test revealed a significant effect of normal
aging on the total number of dendritic segments
per cell in the CA1 pyramidal cells ( P0.01) but
not in the dentate granule cells and CA3
pyramidal cells ( table 1). -
- The number of dendritic intersections showed the
effect of aging was significant for circles 11,
12, 13, 14 and 15 in CA1 pyramidal cells
(Plt0.05). In these circles aged had a lower
number of intersections than young rats. No
significant age-related difference was detected
in the dendritic branching density of granule
cells and CA3 pyramidal cells.
22The total number of dendritic segments in granule
cells and CA3 and CA1 pyramidal cells of rat
hippocampus in young and aged rats.
Hippocampal Region Granule cells CA3 CA1 Hippocampal Region Granule cells CA3 CA1 Hippocampal Region Granule cells CA3 CA1 Animals
41.03.6 41.03.6 20.9 2.0 Young
36.51.8 39.1 3.6 18.5 2.0 Aged
P0.01 P0.314 P0.210
23Graphic representation of the dendritic branching
density of hippocampal granule cells in the aged
and young rats. Vertical bars represent SD.
24Graphic representation of dendritic branching
density of CA1 pyramidal cells in the aged and
young rats. Vertical bars represent SD. Circles
11, 12, 13, 14 and 15, Plt0.05.
25Graphic representation of dendritic branching
density of CA3 pyramidal cells in the aged and
young rats. Vertical bars represent SD.
26Discussion
- Our present findings revealed the alterations in
the terminal segments of the apical arbors of the
CA1 hippocampal cells due to normal aging. - Reports on age-related alterations in morphology
of the rodent CA fields have been inconsistent,
however. Some indicate a reduction in synaptic
contacts and dendrites while others suggest
preservation of connectivity. It is likely that
methodological differences, such as rodent
strain, age of subjects, and precise hippocampal
region examined, contribute to the disparity of
findings.
27Discussion
- Although there are several descriptions of
age-related dendritic changes, the mechanisms
controlling dendritic morphology in the adult and
aging brain have not been elucidated. - Since individual trophic factors promote
dendritic growth of specific populations of
neurons and can act within restricted dendritic
domains, it is reasonable to propose that
differential trophic support continues across the
lifespan and that age-related declines in trophic
support lead to dendritic regression in some
neural regions.
28Discussion
-
- Throughout development and adulthood the
availability of growth factors is likely to
differ among cortical regions and layers due to
differences in capillary density and blood flow. - As levels of many blood-borne trophic factors
decline with age, the focal differences in blood
flow that exist throughout the lifespan, coupled
with age-related vascular changes, may result in
local deficiencies in one or more critical
trophic factors that lead to dendritic regression
among some neurons.
29Discussion
- The CA1 region is the hippocampal subdivision in
which the cytoarchitectural organization and size
have changed most during mammalian and its
structural integrity has been reported to be
particularly susceptible to ischemia. - It is also reported that Microtubule associated
2 protein (MAP2) has been decreased in the
dendrites and axons of hippocampal CA1 neurons in
aged mice. These findings demonstrate that
dendrites and axons in the hippocampal CA1
neurons are particularly susceptible to aging
processes.
30Conclusion
- This and similar descriptive studies demonstrate
that throughout adulthood and senescence
dendritic extent is regulated locally and that
changes affect specific populations of neurons
and restricted regions within the dendritic
arbors. Recognition of which neurons are subject
to dendritic regression and of how dendritic
geometry is altered will facilitate experimental
studies to assess the significance of dendritic
change for neural function, as well as the
mechanisms by which dendritic extent is regulated
throughout the lifespan.
31Thank you for your attention