Raquel Martínez-Serra1, Lidia Alonso-Nanclares2,3, Kwangwook Cho1,4, K Peter Giese1. 1. Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9NU, UK. 2. Instituto Cajal (CSIC - Consejo Superior de Investigaciones Científicas), Avda. Doctor Arce 37, 28002 Madrid, Spain. 3. Laboratorio Cajal de Circuitos Corticales (CTB), Universidad Politécnica de Madrid, Campus de Montegancedo s/n, Pozuelo de Alarcón 28223, Madrid, Spain. 4. UK-Dementia Research Institute at King's College London, London SE5 9NU, UK.
Abstract
Alzheimer's disease is the leading cause of dementia and a growing worldwide problem, with its incidence expected to increase in the coming years. Since synapse loss is a major pathology and is correlated with symptoms in Alzheimer's disease, synapse dysfunction and loss may underlie pathophysiology. In this context, this review focuses on emerging insights into synaptic changes at the ultrastructural level. The three-dimensional electron microscopy technique unequivocally detects all types of synapses, including multi-synapses, which are indicators of synaptic connectivity between neurons. In recent years it has become feasible to perform sophisticated three-dimensional electron microscopy analyses on post-mortem human Alzheimer's disease brain as tissue preservation and electron microscopy techniques have improved. This ultrastructural analysis found that synapse loss does not always precede neuronal loss, as long believed. For instance, in the transentorhinal cortex and area CA1 of the hippocampus, synapse loss does not precede neuronal loss. However, in the entorhinal cortex, synapse loss precedes neuronal loss. Moreover, the ultrastructural analysis provides details about synapse morphology. For example, changes in excitatory synapses' post-synaptic densities, with fragmented postsynaptic densities increasing at the expense of perforated synapses, are seen in Alzheimer's disease brain. Further, multi-synapses also appear to be altered in Alzheimer's disease by doubling the abundance of multi-innervated spines in the transentorhinal cortex of Alzheimer's disease brain. Collectively, these recent ultrastructural analyses highlight distinct synaptic phenotypes in different Alzheimer's disease brain regions and broaden the understanding of synapse alterations, which may unravel some new therapeutic targets.
Alzheimer's disease is the leading cause of dementia and a growing worldwide problem, with its incidence expected to increase in the coming years. Since synapse loss is a major pathology and is correlated with symptoms in Alzheimer's disease, synapse dysfunction and loss may underlie pathophysiology. In this context, this review focuses on emerging insights into synaptic changes at the ultrastructural level. The three-dimensional electron microscopy technique unequivocally detects all types of synapses, including multi-synapses, which are indicators of synaptic connectivity between neurons. In recent years it has become feasible to perform sophisticated three-dimensional electron microscopy analyses on post-mortem human Alzheimer's disease brain as tissue preservation and electron microscopy techniques have improved. This ultrastructural analysis found that synapse loss does not always precede neuronal loss, as long believed. For instance, in the transentorhinal cortex and area CA1 of the hippocampus, synapse loss does not precede neuronal loss. However, in the entorhinal cortex, synapse loss precedes neuronal loss. Moreover, the ultrastructural analysis provides details about synapse morphology. For example, changes in excitatory synapses' post-synaptic densities, with fragmented postsynaptic densities increasing at the expense of perforated synapses, are seen in Alzheimer's disease brain. Further, multi-synapses also appear to be altered in Alzheimer's disease by doubling the abundance of multi-innervated spines in the transentorhinal cortex of Alzheimer's disease brain. Collectively, these recent ultrastructural analyses highlight distinct synaptic phenotypes in different Alzheimer's disease brain regions and broaden the understanding of synapse alterations, which may unravel some new therapeutic targets.
Alzheimer’s disease is the most common cause of dementia. Growing evidence
suggests that memory impairment in Alzheimer’s disease correlates with
synapse loss in the forebrain.[1-5] For instance, synapse loss in the hippocampus,
dentate gyrus, inferior temporal gyrus and superior frontal cortex negatively
correlates with performance in various types of memory tasks.[6-10] Given this correlation, it is
important to understand how synapses are affected in Alzheimer’s disease in
order to be able to intervene and reverse synaptic changes to possibly prevent
and/or rescue cognitive and memory impairment.To this date, several methods have been used to assess synapse density. For example,
indirect quantification of pre- and post-synaptic proteins, such as synaptophysin,
synapsin-1 and postsynaptic density protein 95 (PSD-95) by immunohistochemistry,
ELISA, dot-blot and western blot.[4,9,11-15] However, these methods estimate,
at very best, the presence of specific synaptic proteins in the pre- or
post-synaptic compartments, but they cannot provide the detailed context of pre- and
post-synaptic architecture and determine the progression of pathology in the
disease. For example, the presynaptic marker CSPalpha is reduced in
Alzheimer’s disease before synaptophysin levels are affected,[16] suggesting that at least
some synaptic markers can have a reduction in expression without any impact on
synapse numbers. Further, DeKosky and colleagues[4] did not find a correlation between
synaptophysin expression and cognitive function, even though synapse density
correlated with cognitive abilities, showing the inaccuracy of relying on synaptic
protein expression as markers for synapses.It is also very common to assess synapse density and morphology by fluorescence
imaging of dendritic spines. However, it should be noted that such imaging does not
assure that the dendritic spines have a presynaptic input, and it can also not
distinguish between multi-synapses and one-input-one-spine synapses, except for the
recently developed super-resolution imaging with the DNA-paint method for cultured
neurons.[17,18] Further, subcellular
components within the spines, such as the spine apparatus, cannot be identified with
light microscopy in contrast with electron microscopy (EM).To study how synapses are changed in Alzheimer’s disease, it is important to
use methods that allow for the unequivocal identification of synapses. EM is the
gold standard for ultrastructure assay since it provides sufficient high resolution
for a clear visualization of PSDs and presynaptic vesicles, making it possible to
identify a synaptic connection on the nanometric scale (Fig. 1). EM also allows for the identification of synapses
and their classification into asymmetric synapses (AS) and symmetric synapses (SS).
This distinction is important as these two types of synapses correlate with
different functions: AS are mostly glutamatergic and excitatory, while SS are mostly
GABAergic and inhibitory.[19]
Figure 1
Identification of synapses in EM image obtained by FIB/SEM on the
transentorhinal cortex from post-mortem human brain (control).
Excitatory synapses (arrows) on dendritic spines (ds) are shown. Presynaptic
elements contain numerous and visible vesicles. The arrows point at the
asymmetric PSDs. Scale bar: 500 nm.
Identification of synapses in EM image obtained by FIB/SEM on the
transentorhinal cortex from post-mortem human brain (control).
Excitatory synapses (arrows) on dendritic spines (ds) are shown. Presynaptic
elements contain numerous and visible vesicles. The arrows point at the
asymmetric PSDs. Scale bar: 500 nm.Serial sectioning TEM is a well-established technique to obtain three-dimensional
data from ultrathin sections of brain tissue. However, obtaining a long series of
ultrathin sections is extremely time-consuming, difficult and requires
labour-intensive human interaction that prevents this approach from being widely
employed (reviewed in[20]).
However, the development of automated EM techniques represents an important advance.
One of these techniques of three-dimensional (3D)-EM, called dual-beam microscopy,
combines a high-resolution field-emission SEM column with a focused gallium ion beam
(FIB), which permits the removal of thin layers of material from the sample surface
on a nanometer scale. As soon as one layer of material is removed by the FIB, the
exposed surface of the sample is imaged by the SEM using a backscattered electron
detector. The sequential automated use of FIB milling and SEM imaging allows for
obtaining long series of photographs of a 3D sample of selected brain regions (e.g.
see reference [21]). The
FIB/SEM microscopy offers the advantage that the process of obtaining serial images
is fully automated, eliminating the need for serial sectioning, the collection of
ultrathin sections and the manual acquisition of microphotographs. Indeed, FIB/SEM
is an excellent tool to study in detail the ultrastructure and alterations of the
synaptic organization of the human brain, as shown by Blazquez- Blazquez-Llorca
et al.[22] who studied AD human tissue for the first time using this
technique.Further, 3D EM is essential to identify synapses that have connections with multiple
dendritic spines or with multiple presynaptic terminals, which can be considered as
multi-output and multi-input, respectively (Fig. 2). Correspondingly, these synapse types are named multi-innervated
spines (MIS) and multi-spine boutons (MSBs). 3D EM can identify and reconstruct the
post-synaptic densities (PSDs) as independent elements, which can be achieved only
by a 3D analysis at the EM level (Fig.
3) and will provide the ultrastructure synapse architecture in the
brain.
Figure 2
Identification of synapses in EM serial images obtained by FIB/SEM on
the transentorhinal cortex from post-mortem human brain
(control). (A–C) A sequence of serial images
showing a multi-innervated dendritic spine (ds) with an excitatory
A–C and an inhibitory synapse B
indicated by arrows. (D–F) A sequence of serial images
to illustrate a multi-synaptic bouton establishing two excitatory synapses
with two dendritic spines (arrows). Scale bar in F
500 nm.
Figure 3
Examples of 3D reconstructed axonal boutons establishing synapses with
dendritic spines. (A–C) 3D
reconstructions of a multi-spine bouton after axis rotation of the axon. The
MSB includes one axonal bouton, three post-synaptic densities (PSD) on
A–B and three dendritic spines (Sp) on
C. (D–F) 3D
reconstructions of a multi-innervated spine after axis rotation of the
dendritic spine. The MIS consists of one dendritic spine, two post-synaptic
densities (PSD) on D–E, and two axonal boutons (Ax) on
F. Scale bar (in F) indicates 1 μm in
A–F.
Identification of synapses in EM serial images obtained by FIB/SEM on
the transentorhinal cortex from post-mortem human brain
(control). (A–C) A sequence of serial images
showing a multi-innervated dendritic spine (ds) with an excitatory
A–C and an inhibitory synapse B
indicated by arrows. (D–F) A sequence of serial images
to illustrate a multi-synaptic bouton establishing two excitatory synapses
with two dendritic spines (arrows). Scale bar in F
500 nm.Examples of 3D reconstructed axonal boutons establishing synapses with
dendritic spines. (A–C) 3D
reconstructions of a multi-spine bouton after axis rotation of the axon. The
MSB includes one axonal bouton, three post-synaptic densities (PSD) on
A–B and three dendritic spines (Sp) on
C. (D–F) 3D
reconstructions of a multi-innervated spine after axis rotation of the
dendritic spine. The MIS consists of one dendritic spine, two post-synaptic
densities (PSD) on D–E, and two axonal boutons (Ax) on
F. Scale bar (in F) indicates 1 μm in
A–F.Multi-synapses in Alzheimer’s disease have been overlooked for many years, but
it is paramount to study these types of synapses as the presence and/or proportions
of both types of multi-synapses change the connectivity between neurons and seem to
contribute to learning and memory.[23] For instance, Geinisman[24] reported that trace eyeblink conditioning in
rabbits increases MSB density in hippocampal CA1 stratum radiatum. Similarly, aged
mice, as well as mutants with impaired long-term potentiation, are able to form and
store hippocampal-dependent memories through the formation of MIS.[25-27] Therefore, given the contribution of
multi-synapses to cognition and memory, it is important to be able to identify and
analyse these types of synapses in Alzheimer’s disease.Despite providing resolution at the nanoscale level, to undoubtedly identify
synapses, synapse types and subcellular structures, EM has some limitations. For
instance, it is not possible to use EM imaging in living organisms; therefore,
longitudinal studies to assess synaptic alteration during disease progression are
not possible. Also, 3D-EM synapse reconstruction and analysis are very
time-consuming.Reviewed data come from FIB/SEM studies performed on human brain samples from control
and AD cases (for details, see references [28-32]). Briefly, brain tissue samples
with a very short post-mortem delay (less than 4 h) were fixed in cold
4% paraformaldehyde. After fixation, the tissue was coronally sectioned.
Serial sections were post-fixed and stained with uranyl acetate and then dehydrated
and flat-embedded in Araldite.[33] Embedded sections were glued onto a block. Blocks were glued
onto a sample stub, and the top surface was coated with a layer of gold/palladium to
facilitate charge dissipation. The blocks were used to obtain images stacks using a
dual-beam microscope (FIB/SEM; Crossbeam® 540 electron microscope, Carl Zeiss
NTS GmbH, Oberkochen, Germany). FIB/SEM images were obtained avoiding the neuronal
and glial somata, blood vessels and also Aβ plaques in order to eliminate the
effect of alterations of synapses in the vicinity of Aβ-plaques, which has
been described previously (e.g. see[22]) FIBSEM images were analysed using EspINA software, which
allows for the 3-dimensional reconstruction of synapses (Video 1).In this review, we will focus on the emerging insights of synaptic changes in
post-mortem Alzheimer’s disease brain derived from recent 3D EM analyses,
which became feasible due to very short post-mortem delay to assure high tissue
preservation. An example of a post-mortem EM image is presented in Fig. 1. This analysis provides the best
knowledge to date about ultrastructural changes in synapses in Alzheimer’s
disease, which is essential for an understanding of the mechanisms underlying
synaptic degeneration in the disease. There is a notion that 3D EM analysis
occasionally contradicts what was observed with traditional EM analysis, such as in
the CA1 region of the hippocampus.[7] However, it is mandatory that more brain regions are
analysed using 3D EM before reaching any general conclusion.
Does synapse loss precede neuronal depletion in post-mortem human
Alzheimer’s disease brain?
An important question is whether synapse loss in Alzheimer’s disease is a
cause or a consequence of neurodegeneration. The recent 3D EM analysis has revealed
that there is no simple answer to this question. For instance, brain atrophy, which
includes neuronal loss, is greater than 30% in the CA1 region of the
hippocampus and the transentorhinal cortex in post-mortem human Alzheimer’s
disease brain. However, synapse density is not reduced in the surviving tissue in
the transentorhinal cortex and CA1 stratum pyramidale and stratum
radiatum.[30,31] In contrast, in layers II
and III of the entorhinal cortex, synapse density is substantially
reduced.[29] Thus,
in the transentorhinal cortex and in the CA1 region of the hippocampus, synapse loss
appears to be associated with neuronal loss, whereas in the entorhinal cortex,
synapse loss may precede neuronal loss.Table 1 summarizes the relationship
between synapse and neuronal loss in different post-mortem Alzheimer’s
disease brain areas using 3D EM analysis. In most, but not all, analysed brain
regions, synapse loss seems to be a consequence of neuronal death rather than the
cause of neurodegeneration. The fact that this is not always the case, as in the
analysed layers of the entorhinal cortex, suggests that synapse vulnerability may
differ between brain areas and/or layers. For example, synapses in CA1 stratum
pyramidale may be more resistant towards degeneration than synapses in layers II and
III of the entorhinal cortex.
Table 1
Summary of neuron and synapse density changes in Alzheimer’s
disease
Neuron density
Synapse density
Synapse loss precedes neuron loss
References
CA1 stratum pyramidale (hippocampus)
↓
=
No
31
CA1 stratum radiatum (hippocampus)
↓
=
No
31
Layers 2 and 3 entorhinal cortex
=
↓
Yes
29
Layer 2 transentorhinal cortex
↓
=
No
30
↓Means a decrease observed at the ultrastructure level
and = shows no change.
Summary of neuron and synapse density changes in Alzheimer’s
disease↓Means a decrease observed at the ultrastructure level
and = shows no change.Region-specific differences in alterations of calcium/calmodulin-dependent kinase II
(CaMKII) expression may contribute to this range of synapse vulnerability.[34] αCaMKII, which is
known to be involved in synaptic plasticity and memory formation[35] is also a tau
kinase.[36]
Strikingly, only CA1 pyramidal neurons in Alzheimer’s disease hippocampus
have elevated αCaMKII expression.[34] CA3 pyramidal neurons and granule cells in dentate gyrus
have no altered αCaMKII expression, but the activity of αCaMKII at
synapses is impaired, affecting the functioning of these neurons.[34] These distinct
αCaMKII changes correlate with substantial loss of CA1 pyramidal neurons, but
almost no loss of CA3 pyramidal neurons nor granule cells in the dentate gyrus of
severe Alzheimer’s disease hippocampus.[37]
Which synapses are altered or missing in post-mortem human Alzheimer’s
disease brain?
It is of interest whether in Alzheimer’s disease brain particular synapse
types are more prone to degeneration. Recent 3D EM analysis suggests that the ratio
of excitatory towards inhibitory synapses is not altered in the transentorhinal
cortex or in CA1 stratum pyramidale and stratum radiatum, where also no synapse loss
on surviving neurons seems to occur.[30,31] This
ratio also remains unchanged in the entorhinal cortex in Alzheimer’s disease,
despite synapse loss on surviving neurons.[29,38] These findings suggest that both excitatory and inhibitory
synapses are equally vulnerable in Alzheimer’s disease. However, due to the
limited number of brain regions investigated, we cannot rule out that
Alzheimer’s disease has a different impact on excitatory and inhibitory
synapses in other brain regions.Morphology of PSDs, which can be either macular or non-macular (horseshoe-shaped,
perforated and fragmented)[39,40] also
seems to be altered in Alzheimer’s disease brain. Different alterations are
detected in distinct brain areas, but some common traits can be observed. For
instance, the morphology of inhibitory synapses does not seem to be modified in any
of the analysed brain regions. As for excitatory synapses, those with fragmented
PSDs are generally increased, while perforated synapses are more often decreased in
Alzheimer’s disease.[28,29,31]Synaptic connections can target different parts of the post-synaptic cell, which may
have mechanistic implications. For instance, synapses can be seen in dendritic
spines, further divided into spine heads or necks, and also in dendritic shafts.
Considering these parameters, the synaptic location appears to be altered in
Alzheimer’s disease, but only in brain regions where synapse loss does not
precede neuronal loss, i.e. hippocampus and transentorhinal cortex.[28,29,31] In these brain areas, the number of axonal boutons targeting
dendritic spines is reduced, while excitatory synapses on dendritic shafts are
increased.[28,31] Inhibitory axodendritic
synapses are reduced in CA1 stratum radiatum.[31]In summary, synapse morphology and location are altered in Alzheimer’s disease
(Table 2), but more research is
needed to establish whether this is a general feature and/or if particular synapse
types are predisposed to degeneration in Alzheimer’s disease. Especially
research on brain regions where synapse loss precedes neuronal death in
Alzheimer’s disease is essential because here, just one brain region with
this characteristic has been considered, and this is not enough to reach a
meaningful conclusion.
Table 2
Summary of synapse subtype changes in Alzheimer’s disease
↓ and ↑indicate changes observed at the ultrastructural
levels, = means no change. AS, asymmetric
synapses; SS, symmetric synapses.
Summary of synapse subtype changes in Alzheimer’s disease↓ and ↑indicate changes observed at the ultrastructural
levels, = means no change. AS, asymmetric
synapses; SS, symmetric synapses.
What are the features of surviving synapses in late-stage Alzheimer’s
disease brain?
Recent studies have also tested for possible differences in synaptic enlargement in
relation to synapse type and PSD morphology rather than a general enlargement of
synapses. In the entorhinal cortex, only excitatory synapses in layer II, and
perforated excitatory synapses in layer III, are enlarged.[29] However, enlarged synapses
do not occur in the transentorhinal cortex or any hippocampal CA1 layer.[28,31]Previously, the generally accepted idea was that a reduction in synapse number
correlates with a significant increase in synapse size in the post-mortem
Alzheimer’s disease brain.[4,10,41-43] This previous work illustrated an increase of the
PSD size and apposition length or synaptic apposition surface by about 25% in
Alzheimer’s disease compared with age-matched control subjects.[7,42-45] As a result of this correlation, a common
inference was that the total synaptic contact area was maintained to a similar level
than in controls.[10,42,43] However, in contrast with this previous
work, a general synaptic enlargement is not detected with recent 3D EM analysis in
human samples from Alzheimer’s disease brains (Table 3), indicating that the total synaptic contact
area may also be lost in Alzheimer’s disease.
Table 3
Summary of synapse size change in Alzheimer’s disease
Synapse enlargement
Maintenance of total synaptic contact area
References
CA1 stratum pyramidale (hippocampus)
No
?
31
CA1 stratumradiatum (hippocampus)
No
?
31
Layers 2 and 3 entorhinal cortex
Only excitatory synapses in layer 2 and excitatory perforated
synapses in layer 3
Maybe
29
Layer 2 transentorhinal cortex
No
?
28
Summary of synapse size change in Alzheimer’s disease
Does Alzheimer’s disease alter synapse connectivity?
The remaining question is whether synapse alterations in Alzheimer’s disease
affect connectivity between pre- and post-synaptic neurons. It is known that
synaptic connections can be clustered into MSBs and MIS (Fig. 2).[46,47]
Alterations in MSB and MIS numbers and complexity change brain connectivity and are
thought to contribute to memory.[23] For instance, the number of MSBs is increased in rabbit
hippocampal CA1 stratum radiatum after eyeblink conditioning.[24] Further, MISs have been
suggested to be the mechanism responsible for hippocampal memory storage in aged
mice as well as in LTP-impaired mouse.[25-27] Despite the evidence linking MSB and MIS with
memory, research on these types of synapses has been overlooked for many years, and
they have not been considered much in studies of Alzheimer’s disease.
Recently, however, MISs have been investigated in post-mortem Alzheimer’s
disease brains. They are not altered in the CA1 region of the hippocampus, but they
are doubled in the transentorhinal cortex of the Alzheimer’s disease
brain.[28,31] It is possible that in
Alzheimer’s disease, some post-synaptic terminals become dysfunctional,
degenerate or just disconnect from presynapses across a synapse, and then these
presynaptic terminals would get a signal to find another existing spine to establish
a new synapse, inducing the formation of MIS, and explaining the lack of synapse
loss. Alternatively, new axonal terminals may be formed and incorporated into
existing SSB, these becoming an MIS (Fig.
4).
Figure 4
Model for generation of multi-innervated dendritic spines (MIS) in
Alzheimer’s disease brains and impact on synaptic
connectivity. (A and B) Two synapses in
a healthy brain and Alzheimer’s disease brain are shown.
(A) In a healthy brain, one synapse is formed between axon
1 and spine 1, while the other synapse is made between axon 2 and spine 2.
(B) In Alzheimer’s disease, spine 2 has degenerated,
and its presynaptic input from axon 2 established a new connection with
spine 1, generating an MIS. As a consequence, synapse density is maintained,
but MIS number is increased. (C and D)
Illustration of the difference in synaptic connectivity and resulting
information flow as a consequence of dendritic spine loss and MIS generation
in Alzheimer’s disease. It is less likely that the higher MIS number
increases connectivity between two neurons (scenario not shown), as two
axonal branches from one pre-synaptic neuron would have to connect to one
spine. - Created with BioRender.
Model for generation of multi-innervated dendritic spines (MIS) in
Alzheimer’s disease brains and impact on synaptic
connectivity. (A and B) Two synapses in
a healthy brain and Alzheimer’s disease brain are shown.
(A) In a healthy brain, one synapse is formed between axon
1 and spine 1, while the other synapse is made between axon 2 and spine 2.
(B) In Alzheimer’s disease, spine 2 has degenerated,
and its presynaptic input from axon 2 established a new connection with
spine 1, generating an MIS. As a consequence, synapse density is maintained,
but MIS number is increased. (C and D)
Illustration of the difference in synaptic connectivity and resulting
information flow as a consequence of dendritic spine loss and MIS generation
in Alzheimer’s disease. It is less likely that the higher MIS number
increases connectivity between two neurons (scenario not shown), as two
axonal branches from one pre-synaptic neuron would have to connect to one
spine. - Created with BioRender.Further, our lab has found that the number of MSBs in the transentorhinal cortex,
entorhinal cortex and stratum pyramidale superior of Alzheimer’s disease
brains is similar to control levels (unpublished data). We hypothesize that though
some spine-forming synapses in this region may become dysfunctional, degenerate, or
disconnect from axons across the synapse, other spines that may have lost their
presynaptic partners would get a signal to find another existing axonal bouton to
establish a new synapse and explain the lack of synapse loss, the maintenance of the
proportion of MSBs and maybe increase the number of connections per bouton. An
alternative explanation is that new spines may be formed and incorporated into
existing boutons to form new MSBs (Fig.
5).
Figure 5
Model for generation of multi-spine boutons in Alzheimer’s
disease brains and impact on synaptic connectivity.
(A and B) Three synapses in a healthy and
Alzheimer’s disease brain are shown. (A) An MSB is
formed between axon 1 and spines 1 and 2, and a single synapse between axon
2 and spine 3 is shown for a healthy brain. (B) In
Alzheimer’s disease, the presynaptic input from axon 2 has
degenerated, and spine 3 from the single synapse established a new
connection with the existing MSB. As a consequence, synapse density and MSB
number are maintained, but MSB’s complexity is increased.
(C and D) Illustration of the difference in
synaptic connectivity and resulting information flow as a consequence of
dendritic spine loss and MIS generation in Alzheimer’s disease. Note
that in a healthy brain, the vast majority of most MSBs are formed between
one presynaptic neuron and two post-synaptic neurons. Thus, the higher MSB
complexity in Alzheimer’s disease brain is unlikely to include spines
from the same dendrite, which would not lead to connecting of previously
unconnected neurons (scenario not shown). Created with BioRender.
Model for generation of multi-spine boutons in Alzheimer’s
disease brains and impact on synaptic connectivity.
(A and B) Three synapses in a healthy and
Alzheimer’s disease brain are shown. (A) An MSB is
formed between axon 1 and spines 1 and 2, and a single synapse between axon
2 and spine 3 is shown for a healthy brain. (B) In
Alzheimer’s disease, the presynaptic input from axon 2 has
degenerated, and spine 3 from the single synapse established a new
connection with the existing MSB. As a consequence, synapse density and MSB
number are maintained, but MSB’s complexity is increased.
(C and D) Illustration of the difference in
synaptic connectivity and resulting information flow as a consequence of
dendritic spine loss and MIS generation in Alzheimer’s disease. Note
that in a healthy brain, the vast majority of most MSBs are formed between
one presynaptic neuron and two post-synaptic neurons. Thus, the higher MSB
complexity in Alzheimer’s disease brain is unlikely to include spines
from the same dendrite, which would not lead to connecting of previously
unconnected neurons (scenario not shown). Created with BioRender.Unfortunately, it is not possible to use 3D EM to investigate whether these
alterations in MIS and MSB are caused by particular terminals degenerating or if
they are newly formed since longitudinal studies are not possible. Either way, it is
mandatory to investigate whether these new connections forming MIS or complex MSBs
originate from the same neuron, hence increasing the connectivity in the brain, or
if they arise from different axons or dendrites and therefore connect more cells. If
the latter is true, and the connected cells have unrelated activity, memories
encoded at different synapses might be ‘mixed’, possibly affecting
memory and cognition.Given the implications that changes in MIS and/or MSB appear to have in brain
connectivity and cognition, it should be investigated whether MIS and MSB
alterations are seen throughout the Alzheimer’s disease brain or just in the
transentorhinal cortex. Further, the functional impact of such changes in synaptic
connectivity needs to be analysed in model systems.
Concluding remarks and outstanding questions
Despite all research looking at synaptic alterations in Alzheimer’s disease,
many outstanding questions remain to be addressed. With the development of newer and
more advanced techniques, such as 3D EM and super-resolution imaging, along with the
possibility of obtaining post-mortem brain tissue with minimal post-mortem delay and
ensuring better tissue preservation, more detailed analyses can be carried out.
Detailed synapse analysis is feasible, for instance, looking at specific synapse
types (excitatory and inhibitory, macular and non-macular, etc), the location of the
synapse within the post-synaptic cell (spine head, neck or dendritic shaft) as well
as the quantification of multi-synapses (MIS and MSB). Therefore, recent studies
using this technique have overcome some of the previous limitations and will provide
a better and more accurate understanding of the disease pathology.Regarding synapse and neuronal loss, it seems there is no homogeneity throughout the
post-mortem Alzheimer’s disease brain, with synapse loss being associated
with neuronal death in some but not all brain regions.[29-31] This suggests different levels of resilience
against synaptic dysfunction and degeneration between brain subregions. In order to
target synaptic pathology in the most vulnerable regions, we need to understand what
causes synapses to be more resistant towards dysfunction and degeneration in these
areas. Excitatory and inhibitory synapses seem to be equally lost in
Alzheimer’s disease, but more studies in other brain regions are needed in
order to find whether this is a general principle in Alzheimer’s disease.There is also no uniformity regarding changes in PSD morphology and synapse location
within the post-synaptic cell in Alzheimer’s disease brains. These
alterations appear to happen in specific neurons, with excitatory neurons being more
affected.[28,29,31] Changes in PSD morphology and synapse
location could affect synapse function, maybe altering the excitatory-inhibitory
balance, and affecting the cellular mechanism of learning and memory. Therefore, it
is important to investigate why these particular synapses are altered and the
implications of these changes.Notably, 3D EM studies did not detect any synapse enlargement in most areas of the
Alzheimer’s disease brain, in contrast to what has been reported
before.[10,41-44] Therefore, the maintenance of the total synaptic
contact area also appears not to be a general feature of Alzheimer’s disease.
However, these studies looked at neuropil synapses; therefore, a compensatory
enlargement of perisomatic synapses cannot be ruled out. Unfortunately, studies
using 3D EM to analyse post-mortem Alzheimer’s disease brains are still
scarce, and this makes it difficult to know if synaptic enlargement may be a feature
of synapses on cell bodies and/or in other brain regions. It is also important to
know why in the transentorhinal cortex specific neuropil synapses and not others get
bigger, what mechanisms underlie the size alteration and if these enlarged synapses
are conserved, maybe in an attempt to store memories, or per contra, if they are in
the process of dying.Finally, MIS and MSBs also seem to be altered in Alzheimer’s disease. The
reported changes could be part of a compensatory mechanism, trying to regain brain
connectivity, leading to the disruption of stored memories. However, more 3D-EM
analyses should be done to investigate whether these are common alterations in
different brain areas and also if they represent an increased connectivity between
the same neurons or a higher connectivity between different cells.Despite the detailed ultrastructural analyses that 3D EM can offer, many questions
remain unanswered. It is not yet clear why resilience towards synapse degeneration
appears to be higher in some brain regions or why PSD morphology and synapse
location are more commonly altered in excitatory synapses. Further, the role of
abnormally enlarged neuropil synapses in the transentorhinal cortex and whether
their formation should be enhanced or prevented or how this can be done also remains
unknown. In addition, MIS and MSBs appear to be vulnerable in the transentorhinal
cortex, but it still is unclear what their exact role is and whether they are
important for memory storage or retrieval.In order to tackle these questions, more studies are still needed in more brain
regions to further investigate synaptic changes. Analyses of post-mortem brain
tissue at the early stages of Alzheimer’s disease will also be necessary to
discern between primary and secondary changes in association with pathology.
Further, while 3D-EM is the gold standard for synapse identification, molecular
mechanisms cannot be very well studied using this technique, as it involves
immuno-EM, a laborious procedure for which it may be difficult to find suitable
antibodies. However, single-molecule imaging techniques, such as super resolution
microscopy (SRM), stochastic optical reconstruction microscopy (STORM) or DNA paint,
are more suitable to study molecular mechanisms.[48] On the other hand, these techniques cannot
be used to identify multiple synapses, and they are not very well established for
in vivo or in situ work. Therefore, findings
using 3D-EM could be translated and looked at with a single-molecule imaging
technique in order to unravel the molecular mechanisms underlying synaptic changes.
For instance, findings using array tomography suggest that synapse density is
decreased in proximity to amyloid oligomers surrounding plaques, and it increases in
an approximately linear manner to reach similar levels as controls at
50 µm from a plaque.[49] Similarly, FIB/SEM imaging has shown that the closer to an
amyloid plaque, the smaller the number of synapses.[22] Therefore, in the future, these techniques
could be combined to investigate synaptic changes within 50 µm from an
amyloid plaque and also to study the effects of hyperphosphorylated tau and
neurofibrillary tangles in synapses. This can aid in finding the most accurate
readout of pathophysiology to identify and study molecular and mechanistic processes
happening in Alzheimer’s disease, which will deepen the understanding of
disease-associated pathology and facilitate the development of new therapeutic
targets.
Data availability
Data sharing is not applicable to this article as no new data were created or
analysed in this study.
Authors: R D Terry; E Masliah; D P Salmon; N Butters; R DeTeresa; R Hill; L A Hansen; R Katzman Journal: Ann Neurol Date: 1991-10 Impact factor: 10.422
Authors: Robert M Koffie; Melanie Meyer-Luehmann; Tadafumi Hashimoto; Kenneth W Adams; Matthew L Mielke; Monica Garcia-Alloza; Kristina D Micheva; Stephen J Smith; M Leo Kim; Virginia M Lee; Bradley T Hyman; Tara L Spires-Jones Journal: Proc Natl Acad Sci U S A Date: 2009-02-19 Impact factor: 11.205
Authors: Sachin S Tiwari; Marie d'Orange; Claire Troakes; Badrun N Shurovi; Olivia Engmann; Wendy Noble; Tibor Hortobágyi; Karl P Giese Journal: Mol Brain Date: 2015-01-29 Impact factor: 4.041
Authors: Wajeeha Aziz; Igor Kraev; Keiko Mizuno; Alastair Kirby; Ton Fang; Huzefa Rupawala; Kamillia Kasbi; Stephanie Rothe; Felix Jozsa; Kobi Rosenblum; Michael G Stewart; K Peter Giese Journal: Curr Biol Date: 2019-10-17 Impact factor: 10.834