Figures
Abstract
Alzheimer’s disease varies by sex but is broadly characterized by widespread neurodegeneration and the accumulation of insoluble amyloid plaques and neurofibrillary tangles. However, at the earliest stages of the disease cell death and pathological tau are localized to the entorhinal cortex. In particular, the lateral entorhinal cortex, and its functions in object-related memory, are among the most vulnerable in aging. Notably, the entorhinal cortex projects directly to the dentate gyrus subregion of the hippocampus, where neurogenesis proceeds throughout adult life. Immature, adult-born neurons provide plasticity at the entorhinal-dentate pathway and they may be uniquely responsive, or vulnerable, to early entorhinal tau pathology. To test this, we injected a human tau-expressing recombinant adeno-associated virus (hTau) into the lateral entorhinal cortex and used male and female AsclCreER mice to birthdate downstream dentate neurons born in early postnatal development or adulthood. Consistent with known roles in neurodegeneration, lateral entorhinal hTau expression caused a loss of mushroom spines in downstream dentate gyrus neurons of male and female mice and reduced dendritic complexity of adult-born neurons in male mice. Presynaptic hTau also increased neurogenesis levels and increased the density of thin spines on adult-born neurons in both male and female mice. Consistent with spine addition, hTau increased the slope of the synaptic input-output curves; amongst adult-born neurons, this was due to a specific effect on synapses in male mice. hTau did not alter the magnitude of long-term potentiation at entorhinal synapses onto adult- or developmentally-born neurons. Thus, in a novel model of early sporadic tau pathology, there are changes consistent with neurodegeneration but also compensatory neuroplastic changes, caused in part by neurogenesis. Since immature neurons have also been identified in the human dentate gyrus, a similar neurogenic plasticity may help maintain entorhinal-hippocampal formation in pathological aging.
Citation: Ash AM, Baek SR, Holder P, Singh S, Vyleta NP, Willman M, et al. (2025) A mouse model of early sporadic tau pathology induces neurogenic plasticity in the hippocampus. PLoS One 20(12): e0323230. https://doi.org/10.1371/journal.pone.0323230
Editor: Efthimios M. C. Skoulakis, BSRC Alexander Fleming: Biomedical Sciences Research Center Alexander Fleming, GREECE
Received: May 2, 2025; Accepted: October 26, 2025; Published: December 10, 2025
Copyright: © 2025 Ash et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: JSS received funding from the Canadian Institutes of Health Research. The funders did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
As baby boomers age, Alzheimer’s disease (AD) is predicted to increase in prevalence such that over 1% of the world’s population may soon have the disease [1]. Unfortunately, AD pathology spreads irreversibly [2] and neuropathologic changes are often present at the earliest stages of the disease continuum [3]. Despite these stark statistics, offsetting disease progression for even a short duration can have a meaningful impact by reducing the amount of time patients are afflicted [1,4,5]. It is critical, therefore, that the earliest stages of the disease are better understood so that treatments that offset AD progression can be developed.
Alzheimer’s disease is more prevalent in females [6,7] and is traditionally associated with widespread accumulation of insoluble Aβ plaques and hyperphosphorylated tau aggregates (tangles). However, in early stages of sporadic AD and human aging, tau pathology is found primarily in the entorhinal cortex (EC) before spreading, possibly through synaptic pathways, to the rest of the brain [8–11]. Human imaging data suggests that female vulnerability may be explained, at least in part, by elevated tau in the EC and greater rate of tau spreading throughout the brain [12–16]. The EC is the primary source of synaptic input to the hippocampus, providing high-dimensional sensory information for memory encoding [17]. It is specifically layer II neurons, the subpopulation that projects to the dentate gyrus (DG) subregion of the hippocampus, that appear to be the most vulnerable: both mild cognitive impairment and the earliest stages of AD are associated with > 50% loss of layer II EC neurons [18,19] and high-resolution imaging reveals specific age-related thinning of this pathway in humans [20], which is associated with impairments in hippocampal memory for the fine details of experience [21,22]. Alzheimer’s Disease has classically been viewed as disease of the synapse [23,24]. Indeed, synapse loss in the EC-DG pathway has been touted as the most reliable biological correlate of dementia [25], where memory deficits arise due to a hippocampus that is functionally disconnected from the neocortex [26]. Identifying sources of synaptic plasticity in the EC-DG pathway therefore have great potential to stave off the progression of pathology.
The EC is not homogeneous but consists of medial (MEC) and lateral (LEC) subdivisions that convey information about the context and content of experience, respectively [27,28]. Recent work has identified an anterolateral portion of the human EC that is homologous to the rodent LEC [29,30], accumulates tau early in aging [9] and may serve as a source for spreading tau throughout the brain [31]. Behavioral studies in humans also point to earlier decline of the LEC, which is linked to specific initial disruption of LEC functions in object-related memory [32–35]. Age-related vulnerability in the LEC-DG pathway may be conserved, as LTP at this pathway declines as early as 8 months of age in rodents (i.e., early middle age) [36].
There is also heterogeneity in the primary target of the EC due to ongoing neurogenesis and the presence of immature neurons in the DG [37]. It is typically appreciated that adult-born neurons pass through an immature critical period from ~3–6 weeks of age when they have enhanced afferent [38–40] and efferent [41] synaptic plasticity and greater intrinsic excitability [42]. The question arises as to whether mature vs immature neurons may be differentially impacted by age-related presynaptic tau pathology. Intriguing support for a regenerative function comes from evidence that adult-born neuron dendrites and synaptic structures develop over ~25% of the lifespan (in rodents) [43], they preferentially connect with the LEC [44,45], and they acquire the capacity for long-term synaptic plasticity at their LEC inputs over an extended window of several months [46].
Transgenic mice expressing familial amyloid-related mutations have been the predominant model for studying age-related dementia, often revealing impaired EC-DG synaptic plasticity, DG neuronal atrophy and impairments in learning and memory [47–49]. More recent models have incorporated tau and reveal damage in the EC-DG circuit [50,51]. However, a limitation of most existing models is that tau expression does not recapitulate the pattern that is observed in sporadic human aging and AD pathology, where abnormal tau originates in the EC. To begin to address this issue the neuropsin promoter [52] has been used in an attempt to restrict tau expression to the EC. While these mice also exhibit deficits in EC-DG synaptic plasticity, impaired hippocampal learning, and spreading of tau into the DG [9,53–56], detailed examination has revealed ectopic tau expression outside of the EC [57]. Interestingly, even though tau is largely expressed in the MEC in these mice, it is the LEC that ultimately displays the greatest pathology [9].
To model the pattern of pathology observed in humans, with pathway- and cell-specific pathology, here we used a viral approach to localize human tau pathology specifically to the LEC. Using transgenic mice to birthdate DG neurons we then examined how tau pathology impacts morphometric and electrophysiological properties of new and old neurons in the LEC-DG circuit.
Methods
Animals and treatments
All procedures were approved by the Animal Care Committee at the University of British Columbia and conducted in accordance with the Canadian Council on Animal Care guidelines. Mice had ad libitum access to food and water and were housed on a 12 h light/dark cycle with lights on at 7 AM. The general experimental design and timeline is presented in Fig 1. Ascl1CreERT2 mice [58] were crossed with CAGfloxStopTdTomato mice [59] (Ai14; The Jackson Laboratory) to generate 82 male and female experimental mice whose precursor cells/newborn neurons could be induced to express tdTomato via tamoxifen injection [46,60–64]. All mice received recombinant adeno-associated virus (rAAV) injections at 3–6 months of age to express Tau-GFP or GFP in the LEC and lateral perforant pathway to the DG. Tamoxifen (Sigma; T5648) was injected either on postnatal day 1 (1 x 75 mg/kg, in sunflower oil) to label developmentally-born neurons (DBNs) or 3 months after rAAV injection (1 x 150 mg/kg), to label adult-born neurons (ABNs). Brains were harvested for morphological and electrophysiological analyses at 4 months after rAAV injection. Sample sizes are described in the results section for each experiment.
A) rAAV was injected into the LEC to express hTau-GFP or GFP in DG-projecting layer 2 neurons. tdTomato+ developmentally- or adult-born DG neurons were visualized with Ascl1CreER mice. B) Confocal images of GFP expression in layer 2 LEC neurons (left) and their corresponding axons (right), which target the outer molecular layer of the DG (tdTomato+ adult-born neurons shown). C) Overlapping GFP and hTau expression in the axons of LEC neurons that were transduced with rAAV-hTau-GFP. D) Experimental timeline: All mice were injected with rAAV at 3-6 months of age and were tested for electrophysiology and morphometric analyses 4 months later. Developmentally-born neurons were targeted by injecting tamoxifen on postnatal day 1 and adult-born neurons were targeted by injected tamoxifen 1 month before collecting brains. Scale bars 250µm. oml/mml/iml: outer, middle/inner molecular layer; mf: mossy fiber axons, tam: tamoxifen.
rAAV production
Two vectors were used in this project: rAAV9-hTau40-Ubi-C-IRES-GFP and control virus rAAV9-Ubi-C-IRES-GFP. The human full length Tau is driven by the human Ubiquitin ligase C promoter followed by an internal ribosome entry site (IRES) driven expression of green fluorescent protein (GFP). rAAV were generated as previously described [65]. Briefly, HEK293 cells were co-transfected with either the pTR-GFP plasmid or the pTR-hTau-GFP plasmid, in addition to the pXX6 helper plasmid and pAAV9 serotype plasmid. Transfection was performed using polyethyleneimine reagent. The virus was harvested from cells and purified using an iodixanol gradient and concentrated using centrifugal filtration. Viral titer was determined with the dot blot assay described previously [65]. Vectors are described as vector genomes (vg)/mL.
Stereotaxic surgery and injection of tau-expressing rAAV
Tau pathology was induced by locally expressing full length wild type human Tau (hTau; Tau40, 2N4R) in the LEC. Wild type, 4-repeat (4R) tau was chosen because sporadic age-related tau pathology is not associated with mutations in the tau gene, and overexpression of 4R tau is observed in Alzheimer’s disease [66]. rAAV9-hTau40-Ubi-C-IRES-GFP (rAAV-hTau-GFP; 9.6 x 1012 vg/ml) or control virus rAAV9-Ubi-C-IRES-GFP (rAAV-GFP; 1.4 x 1013 vg/ml) was injected into the LEC of 6- to 9-month-old mice according to sterile surgical procedures (ages balanced across DBN and ABN groups). Mice were anaesthetized with isoflurane, given meloxicam (5 mg/kg, SQ), local bupivacaine (8 mg/kg, SQ) and lactated ringers solution (10 ml/kg) at the start of surgery. Following standard stereotaxic techniques, bilateral rAAV injections into the LEC were made at – 3.6 mm posterior, ± 4.7 mm mediolateral and −2.6 mm ventral relative to bregma. One μl of virus was injected into each hemisphere, at a speed of 200 nl/min, using a 30-gauge Hamilton needle and 10 μl Hamilton syringe with a microsyringe pump (World Precision Instruments). The needle remained in place for 5 min after the injection to allow for diffusion.
Tissue processing and immunohistochemistry
Mice were transcardially perfused with 4% paraformaldehyde in phosphate buffered saline (PBS, pH 7.4) and brains remained in paraformaldehyde for 48 h prior to sectioning. Brain hemispheres were sectioned using a vibratome (Leica VT1000S), with one hemisphere cut at 100 µm for morphological analysis and the other cut at 40 μm for all other histological analyses. Brain sections were stored in cryoprotectant at −20°C until immunohistochemical processing.
For free-floating fluorescent immunostaining of red fluorescent protein (RFP; tdTomato), sections were first washed with PBS (3 x 5 min). The sections were incubated with a blocking solution of 3% horse-serum in 0.5% PBS-Triton X for 30 min, and then incubated with rabbit anti-RFP antibody (1:2000 in blocking solution; Rockland 600-401-379) for 48 hours on a shaker plate at 4°C. Then tissue was washed with 0.5% PBS-Triton X and incubated with secondary antibody (1:250 donkey anti-rabbit Alexa 555) for 1 hr and then washed with PBS.
For free-floating fluorescent immunostaining of tau protein, sections were retrieved from the cryoprotectant solution and washed with PBS. Brain sections were incubated in 0.01M citric acid at 98 degrees C for 10 minutes. The tissue was then immersed in 3% horse-serum in 0.5% PBS-Triton X for 30 min, and incubated with either a rabbit polyclonal anti-human tau (hTau) antibody (Invitrogen PA527287), a phospho-tau monoclonal antibody to detect AT8 (Invitrogen MN1020), a rabbit polyclonal phospho-tau Ser396 (Invitrogen 44-752G) or chicken anti-GFP (Aves Labs GFP-1010) for 3 days on a shaker plate at 4°C. After the primary antibody incubation, slices were washed with 0.5% PBS-Triton X and incubated with their respective secondary antibodies for 1 h (1:250 donkey anti-mouse Alexa 647 antibody; 1:250 donkey anti-rabbit Alexa 647 antibody; 1:250 donkey anti-chicken Alexa 488 antibody) followed by a PBS wash for 5 min.
All sections were stained with DAPI in PBS (1:1000) to visualise cell nuclei. Brain slices were mounted on slides and cover-slipped with mounting medium PVA-DABCO to prevent fluorescent fading.
Imaging and morphological analyses
Images were acquired with a Leica SP8 confocal microscope for all analyses. For confirmation of surgical hits and viral spread from the LEC to the DG, tau and GFP were imaged along the anterior-posterior axis using a 10X objective. Images were qualitatively assessed for anatomical spread and presence of hTau and phosphorylated Tau variants. For cell density quantification, images of the LEC region were collected at approximately −3.8 mm (AP) from Bregma with 40X oil immersion objective at 1024 x 1024 resolution along a 1 µm thick z-section in the middle of the stack at 1X zoom.
For morphological quantification, 100 µm thick sections labelled for RFP were imaged from the dorsal DG (−1.2 mm to −2.2 mm AP relative to Bregma). Dendritic branching and spine analyses were performed on cells located in the suprapyramidal blade from animals that had hTau in the LEC and outer molecular layer of the DG. To measure dendritic branching, images of RFP-labelled neurons in the DG (n = 3 per animal) were collected at 1024 x 1024 resolution with a z-stack step size of 1 µm with a 25X water objective (N.A. = 0.95) at 1X zoom. Dendrites were traced in ImageJ with the Simple Neurite Tracer plugin [67] to obtain dendritic length and number of branch points along dendritic tree throughout the 3D z-stack. Sholl analyses were performed to analyze complexity of dendritic branching [43,68].
For measuring dendritic spines, images were acquired with a glycerol-immersion 63X objective (N.A. = 1.40), at 1024 x 1024 resolution, 0.33 µm z-step size and 5X zoom. Dendritic segments from the same cells were sampled from the inner, middle and outer molecular layers to analyze whether spine counts varied in dendritic regions that receive hilar, medial entorhinal, and lateral entorhinal inputs, respectively. Thin spines (postsynaptic spines with thin neck and bulbous head) and mushroom spines (mature spines with a large head ≥ 0.6 µm in diameter) were counted with the ImageJ Cell Counter plugin and categorized according to established criteria [69]. All spine counts were normalized to the dendrite length.
For measuring large mossy fiber bouton (MFB) terminals of granule neuron axons, images were acquired with a glycerol-immersion 63X objective, at 1024 x 1024 resolution, 1 µm z-step size and 5X zoom. The MFBs were sampled along CA3 subregions (CA3a, CA3b, CA3c) with an average of 5 boutons measured per region, for a total of 15 boutons per animal. The area of each bouton was measured the maximum projection of the z-stack sections using ImageJ. MFB-associated filopodia protrusions, which contact inhibitory interneurons, were also counted and their lengths were measured.
Cell counting
Quantification of DAPI-stained nuclei was performed in LEC layer II to determine cell loss under tau pathology. DAPI+ cells were counted between −3.6 to −3.8 mm from bregma (virus injection site) in one section per animal from a slice taken mid z-stack with ImageJ Cell Counter plugin. Tissue area was obtained by tracing the 2D area of the LEC layer II and cell density was quantified by dividing cell counts by total area (to get cells per mm2). For consistency, the ROI measured for cell quantification was similar in size across animals (average area = 0.16 mm2).
Brain slice preparation
Mice were anesthetized with sodium pentobarbital (50 mg/kg, I.P.) and were perfused with ice-cold cutting solution containing (in mM): 93 NMDG, 2.5 KCl, 1.2 NaH2PO4, 30 NaHCO3, 20 HEPES, 25 glucose, 5 sodium ascorbate, 3 sodium pyruvate, 10 n-acetyl cysteine, 0.5 CaCl2, 10 MgCl2 (pH-adjusted to 7.4 with HCl and equilibrated with 95% O2 and 5% CO2, ~ 310 mOsm). Transverse hippocampal slices were cut on a vibratome and transferred to NMDG-containing cutting solution at 35ºC for 20 minutes, before being transferred to a storage solution containing (in mM): 87 NaCl, 25 NaHCO3, 2.5 KCl, 1.25 NaH2PO4, 10 glucose, 75 sucrose, 0.5 CaCl2, 7 MgCl2 (equilibrated with 95% O2 and 5% CO2, ~ 325 mOsm) at 35ºC before starting experiments.
Electrophysiology
Whole-cell patch-clamp recordings were made at near-physiological temperature (~32ºC) from identified tdTomato+ granule cells in the suprapyramidal blade of the dentate gyrus. Slices were superfused with an artificial cerebrospinal fluid (ACSF) containing (in mM): 125 NaCl, 25 NaHCO3, 2.5 KCl, 1.25 NaH2PO4, 25 glucose, 1.2 CaCl2, 1 MgCl2 (equilibrated with 95% O2 and 5% CO2, ~ 320 mOsm). In all experiments GABAergic inhibition was blocked with bicuculline methiodide (10 uM). Recording pipettes were fabricated from 2.0 mm/ 1.16 mM (OD/ID) borosilicate glass capillaries and had resistance ~5 MOhm with an internal solution containing (in mM): 120 K-gluconate, 15 KCl, 2 MgATP, 10 HEPES, 0.1 EGTA, 0.3 Na2GTP, 7 Na2-phosphocreatine (pH 7.28 with KOH, ~ 300 mOsm). Current-clamp and voltage-clamp recordings were performed at −80 mV. Only recordings with high seal resistance (several giga-ohms) and low holding current (less than 50 pA) were included in analyses. For current-clamp recordings, series resistance and pipette capacitance were compensated with the bridge balance and capacitance neutralization circuits of the amplifier. A bipolar electrode was placed in the outer 1/3 of the molecular layer to stimulate the lateral perforant path (LPP) fibers. Stimuli (0.1 ms) were delivered through a stimulus isolator (A-M Systems analog stimulus isolator model 2200). Up to 3 experiments were performed on a single cell. First, synaptic transmission input-output curves were obtained by measuring EPSCs in response to afferent stimulation from 100µA to 1000µA. Then, paired-pulse facilitation was assessed using 50-Hz pairs of pulses in voltage clamp. Finally, LTP was measured in current clamp. For LTP experiments, single EPSPs (~3–5 mV) were evoked every thirty seconds before and after a single theta-burst stimulation (TBS) consisting of 10 trains of 10 pulses (100-Hz), delivered at 5-Hz, and repeated four times at 0.1 Hz, paired with postsynaptic current injection (100 pA, 100 ms). LTP was calculated as the increase in synaptic strength at 30–40 minutes post-TBS, with the exception of one cell that was calculated based on the increase from 25–40 minutes post-TBS due to occasional spiking that obscured EPSP size and necessitated a larger temporal window to obtain sufficient sampling. Finally, some cells did not last an entire recording session, resulting in fewer cells for the LTP experiment compared to the input-output curves and paired pulse analyses.
Statistical analyses
All underlying data are provided as Supporting Information (S1 File). Analyses were performed in Prism 9.0 (Graphpad) and R. Cell counts were analyzed by unpaired t-test (DAPI) or sex x treatment ANOVAs (DCX). Morphological and electrophysiological properties of tdTomato+ cells were analyzed by fitting mixed effects models (using the lme4 package in R) to account for correlations between cells that were sampled from the same animal [70]. Sex and treatment (GFP vs hTau) were treated as fixed effects and subject was treated as a random effect. Main effects and interactions were then analyzed by ANOVA, followed by Sidak-adjusted post hoc comparisons and, in the case of input-output curves, simple slopes analyses with emtrends. Sholl data were similarly analyzed, as described [71] and adapted for R [72], with the exception that both subject and cell were treated as random effects in the mixed models (cell nested within subject). All tests had significance set as alpha < 0.05.
Results
Tau expression and histopathology in the entorhinal-hippocampal axis
rAAV was injected into the LEC to induce hTau-GFP or GFP expression primarily in DG-projecting layer 2 neurons (Fig 1, 2A-C). A single injection resulted in widespread tau expression along the rostrocaudal and dorsoventral axes of the DG molecular layer, reflecting expression in perforant path axons. Only the very ventral DG failed to show expression (Fig 2A). Expression was always strongest in the lateral perforant path, which targets the distal dendrites of DG granule neurons. In some mice there was also limited expression in the temperoammonic pathway targeting distal CA1 dendrites, which originates in LEC layer 3 neurons (Fig 2B). As expected, no hTau expression was observed in mice that were injected with rAAV-GFP (Fig 2C). The pathological effects of tau are, in part, the result of increased phosphorylation and aggregation into paired helical filaments [73]. We therefore examined whether our model led to expression of these pathological forms of tau. Indeed, immunostaining with a phospho-S396 targeting antibody confirmed the presence of phosphorylated tau in the LEC and in the perforant pathway projection to the DG (Fig 2D). Similarly, AT8 immunoreactivity revealed paired helical filament tau species in both the LEC and perforant path projection (Fig 2E). Finally, we quantified cell density in LEC layer 2 since neurons in this layer are particularly vulnerable in human aging and the earliest stages of Alzheimer’s disease. We found no significant difference between mice injected with rAAV-hTau-GFP vs rAAV-GFP (T19 = 0.45, P = 0.66). This suggests that our model may be most reflective of the earliest stages of age-related cognitive decline, when pathological tau has begun to be expressed in EC circuits but before any cell death has occurred.
A) Anterior-posterior expression of human tau in the LEC and lateral perforant pathway projection to the outer molecular layer of the DG. B) Adult-born tdTomato+ DG granule cells in a mouse injected with rAAV-hTau-GFP. C) Absence of human tau in a control mouse injected with rAAV-GFP. D) Phosphorylated tau immunostaining, with p-S396 antibody, of LEC neurons and perforant path axons (arrowheads) in a mouse injected with rAAV-hTau-GFP. E) Phosphorylated paired helical tau, immunostained with AT8 antibody, in the LEC and perforant pathway (arrowheads). Scale bars: 500 µm (low mag), 100 µm (high mag insets).
Neurogenesis in hTau-expressing circuits
Adult neurogenesis is reduced in most amyloid-based mouse models of Alzheimer’s disease [74] and human neurogenesis levels, as measured by DCX expression, inversely correlates with the severity of Alzheimer’s disease [75]. To determine whether neurogenesis is altered in our model of early entorhinal tau pathology, we quantified immature DCX+ cells in mice injected with rAAV-GFP (N = 10 male, 5 female) vs rAAV-hTau-GFP (N = 6 male, 6 female). Here we found that presynaptic hTau expression was associated with ~30% more DCX+ neurons (Fig 3). Neurogenesis was also higher in male mice than in female mice (effect of sex: F1,20 = 4.9, P = 0.039; effect of hTau: F1,20 = 6.2, P = 0.022; interaction: F1,20 = 0.6, P = 0.44).
A) DCX+ immature neurons in a mouse injected with GFP control rAAV. Scale bar 500 µm, 50 µm (inset). B) DCX+ cell density was greater in males than in females and greater in the hTau group than in GFP controls. Bars indicate mean ± standard error. *P < 0.05.
LEC hTau reduces dendritic complexity in ABNs from male mice
The morphological development of ABNs is highly sensitive to experience, activity and pathology. To test whether functionally-relevant morphological properties of ABNs are affected by presynaptic tau pathology we first analyzed the dendritic structure of developing, ~ 1-month-old ABNs (GFP mice: N = 22 male, 14 female; hTau mice: N = 29 male, 15 female; labelling was too dense to permit accurate dendritic reconstruction of DBNs). We first examined the total number of dendritic branches and found that this was not altered by hTau (effect of hTau: F1,25 = 1.1, P = 0.3, effect of sex: F1,25 = 0. 1, P = 0.7; interaction: F1,25 = 0.9, P = 0.4). Since Alzheimer’s pathology has been found to alter the primary dendrites of ABNs [76] we also measured primary dendrite length but found no differences (effect of hTau: F1,25 = 0.1, P = 0.8, effect of sex: F1,25 = 0.9, P = 0.4; interaction: F1,25 = 0.1, P = 0.7). Next, we measured total dendritic length and found no effect of hTau (F1,27 = 0.6, P = 0.5) or sex (F1,27 = 0.1, P = 0.8; Fig 4B). However, while the hTau x sex interaction was not statistically significant (F1,27 = 3.8, P = 0.06), exploratory analyses suggest that hTau may differentially impact dendrites in males (17% reduction in length, P = 0.04) vs females (7% increase, P = 0.4).
A) Maximum projection image of a tdTomato+ ABN for dendritic analyses. B) Exploratory analyses suggest hTau may reduce dendritic in males. C) Sholl analysis revealed reduced dendritic complexity in male mice expressing hTau, but not female mice. Bars and symbols indicate mean ± standard error. *P < 0.05, ****P < 0.0001, #P < 0.05 (exploratory analysis; hTau x sex interaction P = 0.06).
We hypothesized that presynaptic hTau at distal dendrites could alter the distribution of dendritic branching. We therefore performed a Sholl analysis to quantify dendritic branching at various distances from the soma. Again, we fit the data with mixed-effects models to account for correlations in the data that result from analyzing multiple cells from the same animal, and analyzing the same cells at multiple distances from the soma [71,72]. An initial analysis, with hTau, sex and distance as fixed effects, revealed a significant effect of hTau (F1,2472 = 14, P = 0.0002), no effect of sex (F1,2472 = 2.2, P = 0.13) and a significant hTau x sex interaction (F1,2472 = 36, P < 0.0001) suggesting that hTau has different effects on dendritic complexity in males and females. We therefore separately analyzed dendritic complexity in males and females and found that, in females, there was no effect of hTau on dendritic complexity (F1,943 = 0.6, P = 0.43; Fig 4C). In contrast, in males, hTau significantly reduced the number of dendritic intersections (F1,1394 = 51, P < 0.0001), particularly in dendritic branches located in the molecular layer ~160–260 µm from the soma. While sample sizes were not equivalent across the sexes, it is unlikely that the absence of a hTau effect in females is entirely due to a lack of statistical power since there was no apparent trend for a group effect.
hTau induces spine loss and growth in ABNs
To determine whether presynaptic hTau specifically affects post-synaptic sites we quantified the density of thin spines (which make up the majority of dendritic protrusions) on ABNs and DBNs, from GFP and hTau mice (ABNs: average 37 cells/mouse, 7 mice per group; DBNs: 11 cells/mouse, 3 mice per group). In ABNs from both male and female mice, hTau caused an increase in the overall number of thin spines (Fig 5B; effect of hTau: F1,28 = 14, P = 0.001; effect of sex: F1,28 = 1.7, P = 0.2, interaction: F1,28 = 0.01, P = 0.92). This effect was similar in the inner (primarily associational/commissural inputs), middle (primarily MEC inputs), and outer (primarily LEC inputs) molecular layers (sexes pooled; layer x hTau interaction: F2,278 = 0.5, P = 0.6). We next examined DBNs to determine to explore the generality of this effect. Here, we failed to find any effect of hTau on thin spine density (Fig 5C; effect of hTau: F1,10 = 3.7, P = 0.8; effect of sex: F1,10 = 0.1, P = 0.7, interaction: F1,10 = 2.3, P = 0.2). There was also no effect of hTau on DBNs when examined as a function of molecular layer subregion (sexes pooled; layer x hTau interaction: F2,92 = 1, P = 0.4). Unfortunately, we were unable to sample as many DBNs, due to the high density of tdTomato labelling. Nonetheless, these data suggest that ABNs may have more compensatory plasticity than DBNs in response to presynaptic hTau.
A) Confocal image of a dendritic segment from an ABN. Mushroom spines indicated by arrowheads; scale bar = 5 µm. B) Presynaptic hTau increased thin spine density in ABNs in both male and female mice, and in all regions of the molecular layer. C) hTau did not alter thin spine density in DBNs. D) hTau decreased mushroom spine density in ABNs from both male and female mice, and in all regions of the molecular layer. E) hTau decreased mushroom spine density in DBNs from both male and female mice, and in all regions of the molecular layer. IML, MML, OML refers to inner, middle and outer molecular layer. Bars indicate mean ± standard error. *P < 0.05, ****P < 0.0001.
Thick, mushroom-shaped spines are more stable over time and may reflect long-term memory substrates [69,77]. We therefore analyzed the density of mushroom spines in ABNs and DBNs. In contrast to the findings for thin spines, above, here we found a consistent decrease in the density of mushroom spines in hTau mice regardless of when the cell was born (Fig 5D,E; ABNs: effect of hTau: F1,28 = 13, P = 0.001; effect of sex: F1,28 = 0.2, P = 0.7, interaction: F1,28 = 0.4, P = 0.5; DBNs: effect of hTau: F1,10 = 12, P = 0.01; effect of sex: F1,10 = 0.1, P = 0.7, interaction: F1,10 = 0.8, P = 0.4). Notably, even though hTau was mainly located in the lateral perforant path, the loss of mushroom spines was equivalent across molecular layer subregions in both ABNs and DBNs (sexes pooled; ABNs: layer x hTau interaction: F2,278 = 0.9, P = 0.4; DBNs: layer x hTau interaction: F2,60 = 0.8, P = 0.4).
LEC hTau reduced mossy fiber terminal size in CA3c
We did not observe tau spreading beyond the EC-DG circuit. Nonetheless, to determine whether hTau-induced morphological changes are observed at sites that are downstream from the entorhinal input synapses we examined the structural properties of the output mossy fiber terminals of ABNs and DBNs (ABNs: average 32 boutons from each of 6–9 mice/sex/treatment; DBNs: average 21 boutons from each of 3–7 mice/sex/treatment). We first examined presynaptic terminal size, which serves as a proxy for synaptic strength [78]. In ABNs, we found no significant differences between boutons from mice treated with the hTau-expressing rAAV vs GFP controls (Fig 6B; ABNs: effect of hTau: F1,25 = 0.8, P = 0.4, effect of sex: F1,25 = 0.1, P = 0.7, sex x hTau interaction: F1,25 = 0. 4, P = 0.5). In DBNs we also observed no significant effects of hTau on bouton size (Fig 6C; effect of hTau: F1,12 = 0.2, P = 0.7, sex x hTau interaction: F1,12 = 2, P = 0.2). However, we did find that boutons were larger in females than in males, consistent with previous findings [79] (effect of sex: F1,12 = 8, P = 0.02). Since CA3a/b/c subregions have distinct functions in pattern separation and completion [80], and since there were no hTau-related sex differences, we pooled male and female data for treatment x CA3 subregion analyses. Here we found that in ABNs there was a significant hTau-related reduction in bouton size in CA3c, whereas there were no changes in DBNs (ABNs: hTau x subregion interaction: F2,380 = 6.2, P = 0.002; CA3a: GFP vs hTau T62 = 0.02, P = 0.98; CA3b: T58 = 0.8, P = 0.45; CA3c: T54 = 2.6, P = 0.01; DBNs: hTau x subregion interaction: F2,258 = 0.4, P = 0.7). This suggests that ABN terminal changes may impact CA3c functions in pattern separation [80].
A) Confocal image of a large bouton with 5 filopodia and a small bouton with 2 filopodia (indicated by arrowheads). Scale bar = 5µm. B) hTau did not induce overall changes in ABN bouton size in male or female mice (left) but a regional analysis did reveal smaller boutons in CA3c (right; sexes pooled). C) hTau did not alter bouton size in DBNs. D) hTau did not alter the number of filopodia per bouton in ABNs. E) hTau did not alter the length of filopodia in ABNs. F) hTau did not alter the number of filopodia per bouton in DBNs. G) hTau did not alter the length of filopodia in DBNs. Bars indicate mean ± standard error. *P < 0.05.
Mossy fiber bouton filopodial extensions are presynaptic terminals that innervate inhibitory interneurons [81] and contribute to the sparse hippocampal coding necessary for memory [82,83]. We therefore quantified the length and frequency of bouton-associated filopodia on ABNs and DBNs (Fig 6D-G). For both measures, we found no hTau-related differences (Filopodia length: ABNs: effect of hTau: F1,26 = 1, P = 0.3, effect of sex: F1,26 = 0.6, P = 0.5, interaction: F1,26 = 0.1, P = 0.8; DBNs: effect of hTau: F1,15 = 0.4, P = 0.5, effect of sex: F1,15 = 0.4, P = 0.6, interaction: F1,15 = 0.3, P = 0.6. Filopodia per bouton: ABNs: effect of hTau: F1,25 = 1.4, P = 0.2, effect of sex: F1,25 = 0.1, P = 0.8, interaction: F1,25 = 0.01, P = 0.9; DBNs: effect of hTau: F1,17 = 0.6, P = 0.5, effect of sex: F1,17 = 0.001, P = 1, interaction: F1,17 = 0.5, P = 0.5).
Effects of LEC hTau on synaptic transmission and plasticity at lateral perforant path input synapses
The morphological analyses pointed to differences primarily in afferent structures (i.e., spines and dendrites), therefore we examined the strength of hTau-expressing LEC input synapses in the outer molecular layer (ABNs: 9 cells from 7 GFP mice, 16 cells from 11 hTau mice; DBNs: 13 cells from 8 GFP mice, 13 cells from 9 hTau mice).
In ABNs, there was an expected increase in EPSC magnitude as stimulation intensity increased (Fig 7A). While there was no overall effect of hTau, significant 2-way and 3-way interactions suggested hTau effects differed as a function of stimulus intensity and sex (effect of stimulation intensity: F1,221 = 139, P < 0.0001; effect of hTau: F1,16 = 0.001, P = 1; effect of sex: F1,17 = 0.1, P = 0.9; hTau x stimulus intensity interaction: F1,221 = 7, P = 0.007; hTau x sex interaction: F1,17 = 0.02, P = 1; hTau x sex x stimulation intensity interaction: F1,221 = 13, P = 0.0004). Pairwise comparisons between GFP and hTau mice (sexes pooled) at each stimulation intensity did not reveal any differences (all Ps > 0.16) but a simple slopes analysis showed that, with greater stimulation intensity, EPSCs increased in size to a greater extent in hTau mice as compared to GFP mice (T1,221 = 3, P = 0.007). To probe the hTau x sex x stimulus intensity interaction we first conducted within-sex pairwise comparisons between GFP and hTau mice at each stimulation intensity. This revealed no significant differences in either males (all P ≥ 0.05) or females (all P > 0.6), though responses at 800–1000 µA approached significance in males (0.05 < P < 0.10). However, a simple slopes analyses revealed that male hTau mice had a greater synaptic response with increasing stimulation intensities (T221 = 4.0, P = 0.0001; Fig 7Ai). In contrast, the slope of the stimulus-response curve in female mice was similar between GFP and hTau treatments (T221 = 0.7, P = 0.5; Fig 7Aii).
A) Stimulus response curves were steeper in ABNs from hTau mice as compared to GFP mice (sexes pooled). Broken down by sex, ABNs from hTau males (Ai) but not females (Aii) have steeper stimulus intensity-EPSC slopes. B) Paired pulse ratios were not different between ABNs from GFP and hTau mice. C) Greater stimulation intensity-EPSC slope in DBNs from hTau mice. Broken down by sex, stimulus intensity-EPSC slopes were unaffected by hTau in males (Ci) but exploratory analyses suggest they were steeper in females (Cii). D) Paired pulse ratios were not different between DBNs from GFP and hTau mice. E) LTP was comparable in ABNs from mice expressing GFP and hTau. F) LTP was comparable in DBNs from mice expressing GFP and hTau. Bars and symbols indicate mean ± standard error. †0.05 < P < 0.10, *P < 0.05, **P < 0.01, ***P < 0.001, #P < 0.05 (exploratory analysis; 3-way interaction P = 0.06).
In DBNs there also was a clear effect of stimulation intensity (F1,230 = 263, P < 0.0001; Fig 7C) but no overall effects of hTau (F1,13 = 0.2, P = 0.7) or sex (F1,13 = 0.2, P = 0.7). There was no hTau x sex interaction (F1,14 = 0.5, P = 0.5) but there was a hTau x stimulation intensity interaction (F1,230 = 4, P = 0.048). Pairwise comparisons between GFP and hTau mice at each stimulation intensity did not reveal any differences (all Ps > 0.5). However, a simple slopes analysis showed that, with greater stimulation intensity, EPSCs increased in size to a greater extent in hTau mice as compared to GFP mice (F1,230 = 4, P = 0.048). While the hTau x sex x stimulation intensity interaction was not significant (F1,230 = 4, P = 0.06), exploratory simple slopes analyses suggest that the hTau x stimulation intensity interaction was primarily driven by females (T230 = 3, P = 0.003; Fig 7Cii) rather than males (T230 = 0, P = 1; Fig 7Ci). That is, as stimulation intensity increased, there may be a greater increase in EPSC size in female hTau mice than female GFP mice.
In our model, hTau is expressed presynaptically and previous work has found that the P301L mutation, when expressed in the medial entorhinal cortex, induces presynaptic deficits [84]. We therefore examined paired pulse ratios, which can be used to assess changes in transmitter release probability and short-term synaptic dynamics [85]. As expected for LEC synapses, which have low probability of initial release [86–88], paired pulse (50 Hz) responses were facilitating. They were also not different in either ABNs or DBNs, or as a function of sex or treatment (ABNs: effect of hTau: F1,20 = 0.0, P = 0.8; effect of sex: F1,20 = 0.1, P = 0.8; interaction: F1,20 = 1.6, P = 0.2; DBNs: effect of hTau: F1,11 = 0.8, P = 0.4; effect of sex: F1,11 = 0.1, P = 0.7; interaction: F1,11 = 1, P = 0.3). These data indicate no major changes in short-term presynaptic dynamics as a result of hTau expression.
To test whether hTau altered long-term synaptic plasticity, which could contribute to memory impairments in aging and Alzheimer’s disease, we delivered high-frequency theta burst stimulation to the lateral perforant path and recorded EPSPs in current clamp. Both ABNs and DBNs displayed robust long-term potentiation, which did not differ between GFP- and hTau-expressing mice (Fig 7E,F; ABNs: effect of hTau: F1,15 = 1.1, P = 0.3, effect of sex: F1,20 = 0.2, P = 0.7, sex x hTau interaction: F1,20 = 0.0, P = 0.8; DBNs: effect of hTau: F1,12 = 0.9, P = 0.4, effect of sex: F1,12 = 2, P = 0.2, sex x hTau interaction: F1,12 = 1, P = 0.3).
Discussion
Here we tested how a mouse model of early sporadic LEC Tau pathology affects structural and physiological properties at the LEC-DG pathway. By targeting human Tau40 (2N/4R) to the LEC we induced preferential expression in the lateral perforant pathway to the DG, which was associated with tau phosphorylation and AT8-immunoreactivity for paired helical tau. While our LEC cell density measurements did not differentiate between neurons vs glia, or between neuronal subtypes that specifically project to the DG, there clearly was no massive cell loss as is apparent in the LEC of individuals with AD and MCI [18,19]. Along with the lack of tau spreading into other brain regions, our hTau AAV approach would appear to most closely model very early stages of pathological aging. In terms of downstream effects, LEC hTau caused a mix of neurodegenerative and neuroplastic effects. With respect to neurodegenerative effects, hTau reduced dendritic complexity in male ABNs, reduced mushroom spines in ABNs and DBNs from both sexes, and caused general atrophy of ABN presynaptic terminals in CA3c. In terms of neuroplasticity, in both sexes hTau increased adult neurogenesis and numbers of thin spines, which comprise the majority of protrusions on DG granule cells. hTau also increased the synaptic input-output relationship in ABNs from male mice and in DBNs generally (possibly driven by females). Thus, in the face of modest presynaptic hTau pathology, downstream DG neurons display some signs of degeneration but also react with growth-associated plasticity and synaptic compensation, in part through adult neurogenesis.
The role of LEC tau in pathological aging
Aging is associated with a stereotyped pattern of pathology and cognitive decline, where the lateral entorhinal cortex, and associated functions in memory, are among the first to deteriorate [9,32,34,89]. Even in mild cognitive impairment and the earliest stages of AD, the majority of entorhinal layer 2 neurons have died [18,19]. These cells provide the primary input to the hippocampus and therefore their loss deprives the hippocampus of sensory information needed to encode and retrieve memories. However, it is likely that entorhinal pathology begins long before frank cell loss. In rodents, lateral perforant path LTP declines as early as 6–9 months of age (i.e., early middle age) [36]. In humans, histological staining for AT8 immunoreactivity has revealed a pattern whereby misfolded tau appears in the transentorhinal cortex as early as young adulthood [8]. While it is debated whether early abnormal tau is a fundamental component of Alzheimer’s disease [90,91], the early rise in tau is ultimately toxic to neurons and synapses, in both animals [76,92] and humans [93–95], and is a prominent component of early pathological aging.
Degeneration and plasticity in LEC hTau mice
Our observation of increased neurogenesis, morphological plasticity and stronger synapses (in DBNs, and in ABNs from males) would appear to conflict with previous reports that abnormal tau has primarily neurodegenerative effects including reducing neurogenesis, inducing cell death and atrophy of dendrites and synaptic structures, and causing deficits in synaptic strength and plasticity [53,76,92,96–99]. We propose that this discrepancy is because our model reflects a less aggressive and/or earlier stage of pathology, where expression is restricted to the LEC as compared to broader/brain-wide expression. Our model may more closely mimic the pattern of human early sporadic tau pathology, and our data points to potential for substantial compensatory plasticity. This is consistent with evidence that entorhinal damage in animals and Alzheimer’s patients induces reactive innervation of the DG by entorhinal, commissural and sepal afferents [100,101]. In mouse models of amyloid pathology, there are also examples of compensatory growth of new spines, particularly when animals are younger [102,103]. While there is evidence that tau can lead to an increase in both the formation and loss of spines [98], here we provide new evidence that spine plasticity may lead to a net increase in spine numbers early in pathological aging, and an increase in synaptic strength (depending on sex and when the neuron was born). While our limited sampling of DBNs may have prevented us from detecting compensatory spinogenesis, the apparently selective plasticity of ABNs aligns with findings that ABNs in rodents ultimately have 60% more spines than DBNs[43]. An alternative hypothesis is that the elevated neurogenesis and spine numbers may be a persistent feature of the model as opposed to a compensatory form of plasticity that is limited to the early stages of pathology (as seen in an amyloid model [104]). It is also worth considering that tamoxifen injection itself may have affected plastic and neurogenic responses to hTau. While all animals received tamoxifen, effects on DG neurons may [105,106] or may not [107] differ between animals that received neonatal vs adult injections, and it is also possible that neuroprotective and anti-inflammatory effects of tamoxifen [108,109] could have mitigated the toxic effects of hTau on the EC-DG circuit [110]. This is most relevant for ABN mice since they received tamoxifen after hTau AAV injections. Future experiments are needed to test these possibilities.
Compensatory plasticity is attractive from a regenerative/therapeutic perspective, but it is important to consider the possibility that spine growth and increased synaptic strength might instead be detrimental to hippocampal function. For example, in aged rats [111] and humans [32] there is hyperactivity in the aged hippocampus, particularly in DG/CA3, which is associated with impaired performance on mnemonic discrimination tasks. Pharmacologically suppressing this hyperactivity in patients with mild cognitive impairment is sufficient to restore memory [112]. Thus, if ABN spinogenesis and enhanced LEC-DG synaptic input-output curves promote hippocampal activity, this may in fact impair learning and memory. We feel that this is unlikely, however, since hTau increased neurogenesis and new neurons often exert a net inhibitory effect on the DG/CA3 [113–117], protect against hyperactivity in other models of pathology [118], and so they are likely more suited to preserve hippocampal function in aging.
The neurodegenerative effects on mushroom spines and dendrites (in male ABNs) may ultimately relate to deficits in object-related learning and memory that are seen in human aging [32,34,35,119] and in rodent studies of the LEC, DG and neurogenesis [44,120–124]. Another mechanism by which tau may contribute to the early decline of detailed hippocampal memory is the selective atrophy of ABN mossy fiber terminals in CA3c. In this subregion, pyramidal neurons perform pattern separation rather than pattern completion seen elsewhere in CA3 [80]. Collectively, our data suggest a thorough examination of behavior is needed to determine how the various forms of growth and atrophy of DG neurons contribute to the preservation and deterioration of hippocampal functions in memory.
Sex differences in the response to hTau
It is well documented that AD is more prevalent in females than in males [6,7]. Fluid [125], PET [12–16] and post-mortem histology [126,127] indicate that women have a greater tau burden and/or greater association between tau and neuropathology or cognitive decline. Here, hTau had some effects that were comparable in males and females, namely increased neurogenesis, more thin spines, and fewer mushroom spines. When we observed sex differences it was new neurons in male mice that showed dendritic atrophy and steeper stimulus-response curves. Given that female human are more vulnerable, it is perhaps counterintuitive that male mice showed more hTau-related alterations. However, in the tau P301S model, it is also the male mice that display more pathological changes [128]. Also, in response to other perturbations, such as transcranial magnetic stimulation [79] and stressful learning [129], we have found greater morphological plasticity in ABNs from male rodents, suggesting possible sex differences in neural plasticity vs stability. Notably, amyloid was not a feature of our model and, in mouse models that incorporate both amyloid and tau, females tend to have greater overall pathology and cognitive impairment [130–132]. This pattern appears to hold for humans as well, where females are more vulnerable to the interactive effects of amyloid and tau [12,15,125,133]. Thus, experiments that examine the combinatorial effects of amyloid and tau are needed to fully disentangle the role that ABNs and DBNs play in age-related medial temporal lobe pathology.
Relevance of neurogenic plasticity for humans
The birth of new DG neurons declines dramatically with age in all mammals and, while there are initial species differences in neurodevelopmental timing, neurogenesis in both humans and rodents plateaus to comparable levels for much of the lifespan [37]. Therefore the important question is whether there is sufficient neurogenic plasticity to offset pathological aging. To our knowledge, no one has directly tested whether neurogenesis contributes to behavior in aging; one study has manipulated neurogenesis in middle age but all others have manipulated neurogenesis in adolescence or young adulthood [37]. Nonetheless, it is estimated that there is 0.04% of daily cell addition in aging, which is sufficient to add ~ 15% of DG neurons over the course of a decade, a number that may be relevant for combating the progression of age-related pathology [37]. New neurons compete with older neurons for synaptic space [134–137] and also appear to replace them as a part of physiological aging [138–140]. Thus, enhanced neurogenesis and spinogenesis could serve to replace synapses from DBNs that may be culled from hippocampal circuitry.
Another factor to consider is the possible long-term contribution of new neurons beyond the traditional (rodent) 4–6 week critical period of plasticity. Using zif268 as a marker of activity, adult-born neurons can be recruited during learning even when they are 19 months old, at rates that appear higher than embryonic-born neurons [141]. Adult-born neurons also develop morphologically over 6 months (~25% of the lifespan) [43] and, unlike other (presumably developmentally-born) granule neurons, they undergo experience-dependent dendritogenesis and spinogenesis even when they are several months old [142,143]. This extended plasticity may be particularly relevant for offsetting age-related LEC pathology since there are multiple lines of evidence that adult-born neurons preferentially connect with the LEC [44,45]. Functionally, LTP at their LEC also develops over a much longer interval (months) than inputs from the medial entorhinal cortex [46]. Given evidence that new neurons mature much slower with age [144,145] and in longer-lived mammals such as primates [146], there may be a substantial reserve of neurogenic plasticity in humans, even after proliferation rates have declined. While evidence from humans is limited, it is notable that human DG neurons appear to continue to grow dendrites well into old age [147,148]. Immature DCX+ neurons are present in the aging brain but are reduced in Alzheimer’s disease [75] and a recent transcriptomics study suggests that in humans there is a pool of immature neurons that persists into aging [149]. It remains unclear whether these examples of human DG plasticity reflect adult-born neurons, later-born neurons, or merely old neurons that maintain a persistently immature phenotype. However, it points to a population of plastic neurons that may be comparable to those that we have identified here, which engage in a synaptogenic response to presynaptic Tau and may help preserve the functionality of this pathway in aging. A first step towards addressing this question might be to include behavioral analyses of LEC-DG function, and to examine aged mice, or mice with more severe tau pathology (e.g., longer rAAV-testing intervals).
Supporting information
S1 File. Full dataset.
This file contains all of the underlying data used for the graphs and analyses.
https://doi.org/10.1371/journal.pone.0323230.s001
(XLSX)
References
- 1. Brookmeyer R, Johnson E, Ziegler-Graham K, Arrighi HM. Forecasting the global burden of Alzheimer’s disease. Alzheimers Dement. 2007;3(3):186–91. pmid:19595937
- 2. Jack CR, Therneau TM, Wiste HJ, Weigand SD, Knopman DS, Lowe VJ, et al. Transition rates between amyloid and neurodegeneration biomarker states and to dementia: a population-based, longitudinal cohort study. Lancet Neurol. 2016;15(1):56–64. pmid:26597325
- 3. Price JL, McKeel DW, Buckles VD, Roe CM, Xiong C, Grundman M, et al. Neuropathology of nondemented aging: presumptive evidence for preclinical Alzheimer disease. Neurobiol Aging. 2009;30(7):1026–36. pmid:19376612
- 4. Brookmeyer R, Abdalla N, Kawas CH, Corrada MM. Forecasting the prevalence of preclinical and clinical Alzheimer’s disease in the United States. Alzheimers Dement. 2018;14(2):121–9. pmid:29233480
- 5.
Association A. Changing the Trajectory of Alzheimer’s Disease: How a Treatment by 2025 Saves Lives and Dollars. 2015.
- 6. Ferretti MT, Iulita MF, Cavedo E, Chiesa PA, Schumacher Dimech A, Santuccione Chadha A, et al. Sex differences in Alzheimer disease - the gateway to precision medicine. Nat Rev Neurol. 2018;14(8):457–69. pmid:29985474
- 7. Lopez-Lee C, Torres ERS, Carling G, Gan L. Mechanisms of sex differences in Alzheimer’s disease. Neuron. 2024;112(8):1208–21. pmid:38402606
- 8. Braak H, Thal DR, Ghebremedhin E, Del Tredici K. Stages of the pathologic process in Alzheimer disease: age categories from 1 to 100 years. J Neuropathol Exp Neurol. 2011;70(11):960–9. pmid:22002422
- 9. Khan UA, Liu L, Provenzano FA, Berman DE, Profaci CP, Sloan R, et al. Molecular drivers and cortical spread of lateral entorhinal cortex dysfunction in preclinical Alzheimer’s disease. Nat Neurosci. 2014;17(2):304–11. pmid:24362760
- 10. Holbrook AJ, Tustison NJ, Marquez F, Roberts J, Yassa MA, Gillen DL, et al. Anterolateral entorhinal cortex thickness as a new biomarker for early detection of Alzheimer’s disease. Alzheimers Dement (Amst). 2020;12(1):e12068. pmid:32875052
- 11. Zhang S, Crossley CA, Yuan Q. Neuronal Vulnerability of the Entorhinal Cortex to Tau Pathology in Alzheimer’s Disease. Br J Biomed Sci. 2024;81:13169. pmid:39435008
- 12. Giorgio J, Jonson C, Wang Y, Yokoyama JS, Wang J, Jagust WJ, et al. Variable and interactive effects of Sex, APOE ε4 and TREM2 on the deposition of tau in entorhinal and neocortical regions. Nat Commun. 2025;16(1):5812. pmid:40595476
- 13. Edwards L, La Joie R, Iaccarino L, Strom A, Baker SL, Casaletto KB, et al. Multimodal neuroimaging of sex differences in cognitively impaired patients on the Alzheimer’s continuum: greater tau-PET retention in females. Neurobiol Aging. 2021;105:86–98. pmid:34049062
- 14. Buckley RF, Scott MR, Jacobs HIL, Schultz AP, Properzi MJ, Amariglio RE, et al. Sex Mediates Relationships Between Regional Tau Pathology and Cognitive Decline. Ann Neurol. 2020;88(5):921–32. pmid:32799367
- 15. Buckley RF, Mormino EC, Rabin JS, Hohman TJ, Landau S, Hanseeuw BJ, et al. Sex Differences in the Association of Global Amyloid and Regional Tau Deposition Measured by Positron Emission Tomography in Clinically Normal Older Adults. JAMA Neurol. 2019;76(5):542–51. pmid:30715078
- 16. Smith R, Strandberg O, Mattsson-Carlgren N, Leuzy A, Palmqvist S, Pontecorvo MJ, et al. The accumulation rate of tau aggregates is higher in females and younger amyloid-positive subjects. Brain. 2020;143(12):3805–15. pmid:33439987
- 17. Amaral DG, Witter MP. The three-dimensional organization of the hippocampal formation: a review of anatomical data. Neuroscience. 1989;31: 571–591. Available from: http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6T0F-485Y6V3-P&_user=10843&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000000150&_version=1&_urlVersion=0&_userid=10843&md5=79cf47a92206297a62e6ddf6f8cfa933
- 18. Gómez-Isla T, Price JL, McKeel DW, Morris JC, Growdon JH, Hyman BT. Profound loss of layer II entorhinal cortex neurons occurs in very mild Alzheimer’s disease. J Neurosci. 1996;16(14):4491–500. pmid:8699259
- 19. Kordower JH, Chu Y, Stebbins GT, DeKosky ST, Cochran EJ, Bennett D, et al. Loss and atrophy of layer II entorhinal cortex neurons in elderly people with mild cognitive impairment. Ann Neurol. 2001;49(2):202–13.
- 20. Yassa MA, Muftuler LT, Stark CEL. Ultrahigh-resolution microstructural diffusion tensor imaging reveals perforant path degradation in aged humans in vivo. Proc Natl Acad Sci U S A. 2010;107(28):12687–91. pmid:20616040
- 21. Yassa MA, Mattfeld AT, Stark SM, Stark CEL. Age-related memory deficits linked to circuit-specific disruptions in the hippocampus. Proc Natl Acad Sci U S A. 2011;108(21):8873–8. pmid:21555581
- 22. Bennett IJ, Stark CEL. Mnemonic discrimination relates to perforant path integrity: An ultra-high resolution diffusion tensor imaging study. Neurobiol Learn Mem. 2016;129:107–12. pmid:26149893
- 23. Selkoe DJ. Alzheimer’s disease is a synaptic failure. Science. 2002;298(5594):789–91. pmid:12399581
- 24. Tzioras M, McGeachan RI, Durrant CS, Spires-Jones TL. Synaptic degeneration in Alzheimer disease. Nat Rev Neurol. 2023;19(1):19–38. pmid:36513730
- 25. DeKosky ST, Scheff SW, Styren SD. Structural correlates of cognition in dementia: quantification and assessment of synapse change. Neurodegeneration. 1996;5(4):417–21. pmid:9117556
- 26. Hyman BT, Van Hoesen GW, Damasio AR, Barnes CL. Alzheimer’s disease: cell-specific pathology isolates the hippocampal formation. Science. 1984;225(4667):1168–70. pmid:6474172
- 27. Knierim JJ, Neunuebel JP, Deshmukh SS. Functional correlates of the lateral and medial entorhinal cortex: objects, path integration and local-global reference frames. Philos Trans R Soc Lond B Biol Sci. 2013;369(1635):20130369. pmid:24366146
- 28. Eichenbaum H, Sauvage M, Fortin N, Komorowski R, Lipton P. Towards a functional organization of episodic memory in the medial temporal lobe. Neurosci Biobehav Rev. 2012;36(7):1597–608. pmid:21810443
- 29. Maass A, Berron D, Libby LA, Ranganath C, Düzel E. Functional subregions of the human entorhinal cortex. Elife. 2015;4:e06426. pmid:26052749
- 30. Navarro Schröder T, Haak KV, Zaragoza Jimenez NI, Beckmann CF, Doeller CF. Functional topography of the human entorhinal cortex. Elife. 2015;4:e06738. pmid:26052748
- 31. Adams JN, Maass A, Harrison TM, Baker SL, Jagust WJ. Cortical tau deposition follows patterns of entorhinal functional connectivity in aging. Elife. 2019;8:e49132. pmid:31475904
- 32. Reagh ZM, Noche JA, Tustison NJ, Delisle D, Murray EA, Yassa MA. Functional Imbalance of Anterolateral Entorhinal Cortex and Hippocampal Dentate/CA3 Underlies Age-Related Object Pattern Separation Deficits. Neuron. 2018;97: 1187–98.e4.
- 33. Olsen RK, Yeung L-K, Noly-Gandon A, D’Angelo MC, Kacollja A, Smith VM, et al. Human anterolateral entorhinal cortex volumes are associated with cognitive decline in aging prior to clinical diagnosis. Neurobiol Aging. 2017;57:195–205. pmid:28578804
- 34. Fidalgo CO, Changoor AT, Page-Gould E, Lee ACH, Barense MD. Early cognitive decline in older adults better predicts object than scene recognition performance. Hippocampus. 2016;26(12):1579–92. pmid:27650789
- 35. Yeung L-K, Olsen RK, Hong B, Mihajlovic V, D’Angelo MC, Kacollja A, et al. Object-in-place Memory Predicted by Anterolateral Entorhinal Cortex and Parahippocampal Cortex Volume in Older Adults. J Cogn Neurosci. 2019;31(5):711–29. pmid:30822207
- 36. Amani M, Lauterborn JC, Le AA, Cox BM, Wang W, Quintanilla J, et al. Rapid Aging in the Perforant Path Projections to the Rodent Dentate Gyrus. J Neurosci. 2021;41(10):2301–12. pmid:33514675
- 37. Snyder JS. Recalibrating the Relevance of Adult Neurogenesis. Trends Neurosci. 2019;42(3):164–78. pmid:30686490
- 38. Snyder JS, Kee N, Wojtowicz JM. Effects of adult neurogenesis on synaptic plasticity in the rat dentate gyrus. J Neurophysiol. 2001;85(6):2423–31. pmid:11387388
- 39. Schmidt-Hieber C, Jonas P, Bischofberger J. Enhanced synaptic plasticity in newly generated granule cells of the adult hippocampus. Nature. 2004;429(6988):184–7. pmid:15107864
- 40. Ge S, Yang C-H, Hsu K-S, Ming G-L, Song H. A critical period for enhanced synaptic plasticity in newly generated neurons of the adult brain. Neuron. 2007;54(4):559–66. pmid:17521569
- 41. Gu Y, Arruda-Carvalho M, Wang J, Janoschka SR, Josselyn SA, Frankland PW, et al. Optical controlling reveals time-dependent roles for adult-born dentate granule cells. Nat Neurosci. 2012;15(12):1700–6. pmid:23143513
- 42. Mongiat LA, Espósito MS, Lombardi G, Schinder AF. Reliable activation of immature neurons in the adult hippocampus. PLoS One. 2009;4(4):e5320. pmid:19399173
- 43. Cole JD, Espinueva DF, Seib DR, Ash AM, Cooke MB, Cahill SP, et al. Adult-Born Hippocampal Neurons Undergo Extended Development and Are Morphologically Distinct from Neonatally-Born Neurons. J Neurosci. 2020;40(30):5740–56. pmid:32571837
- 44. Vivar C, Potter MC, Choi J, Lee J-Y, Stringer TP, Callaway EM, et al. Monosynaptic inputs to new neurons in the dentate gyrus. Nat Commun. 2012;3:1107. pmid:23033083
- 45. Woods NI, Vaaga CE, Chatzi C, Adelson JD, Collie MF, Perederiy JV, et al. Preferential Targeting of Lateral Entorhinal Inputs onto Newly Integrated Granule Cells. J Neurosci. 2018;38(26):5843–53. pmid:29793975
- 46. Vyleta NP, Snyder JS. Prolonged development of long-term potentiation at lateral entorhinal cortex synapses onto adult-born neurons. PLoS One. 2021;16(6):e0253642. pmid:34143843
- 47. Jacobsen JS, Wu C-C, Redwine JM, Comery TA, Arias R, Bowlby M, et al. Early-onset behavioral and synaptic deficits in a mouse model of Alzheimer’s disease. Proc Natl Acad Sci U S A. 2006;103(13):5161–6. pmid:16549764
- 48. Wu C-C, Chawla F, Games D, Rydel RE, Freedman S, Schenk D, et al. Selective vulnerability of dentate granule cells prior to amyloid deposition in PDAPP mice: digital morphometric analyses. Proc Natl Acad Sci U S A. 2004;101(18):7141–6. pmid:15118092
- 49. Redwine JM, Kosofsky B, Jacobs RE, Games D, Reilly JF, Morrison JH, et al. Dentate gyrus volume is reduced before onset of plaque formation in PDAPP mice: a magnetic resonance microscopy and stereologic analysis. Proc Natl Acad Sci U S A. 2003;100(3):1381–6. pmid:12552120
- 50. Oddo S, Caccamo A, Shepherd JD, Murphy MP, Golde TE, Kayed R, et al. Triple-transgenic model of Alzheimer’s disease with plaques and tangles: intracellular Abeta and synaptic dysfunction. Neuron. 2003;39(3):409–21. pmid:12895417
- 51. Angulo SL, Orman R, Neymotin SA, Liu L, Buitrago L, Cepeda-Prado E, et al. Tau and amyloid-related pathologies in the entorhinal cortex have divergent effects in the hippocampal circuit. Neurobiol Dis. 2017;108:261–76. pmid:28860088
- 52. Yasuda M, Mayford MR. CaMKII activation in the entorhinal cortex disrupts previously encoded spatial memory. Neuron. 2006;50(2):309–18. pmid:16630840
- 53. de Calignon A, Polydoro M, Suárez-Calvet M, William C, Adamowicz DH, Kopeikina KJ, et al. Propagation of tau pathology in a model of early Alzheimer’s disease. Neuron. 2012;73(4):685–97. pmid:22365544
- 54. Liu L, Drouet V, Wu JW, Witter MP, Small SA, Clelland C, et al. Trans-synaptic spread of tau pathology in vivo. PLoS ONE. 2012;7: e31302.
- 55. Polydoro M, de Calignon A, Suárez-Calvet M, Sanchez L, Kay KR, Nicholls SB, et al. Reversal of neurofibrillary tangles and tau-associated phenotype in the rTgTauEC model of early Alzheimer’s disease. J Neurosci. 2013;33(33):13300–11. pmid:23946388
- 56. Pickett EK, Henstridge CM, Allison E, Pitstick R, Pooler A, Wegmann S, et al. Spread of tau down neural circuits precedes synapse and neuronal loss in the rTgTauEC mouse model of early Alzheimer’s disease. Synapse. 2017;71(6):e21965. pmid:28196395
- 57. Yetman MJ, Lillehaug S, Bjaalie JG, Leergaard TB, Jankowsky JL. Transgene expression in the Nop-tTA driver line is not inherently restricted to the entorhinal cortex. Brain Struct Funct. 2016;221(4):2231–49. pmid:25869275
- 58. Kim EJ, Ables JL, Dickel LK, Eisch AJ, Johnson JE. Ascl1 (Mash1) defines cells with long-term neurogenic potential in subgranular and subventricular zones in adult mouse brain. PLoS One. 2011;6(3):e18472. pmid:21483754
- 59. Madisen L, Zwingman TA, Sunkin SM, Oh SW, Zariwala HA, Gu H, et al. A robust and high-throughput Cre reporting and characterization system for the whole mouse brain. Nat Neurosci. 2010;13(1):133–40. pmid:20023653
- 60. Yang SM, Alvarez DD, Schinder AF. Reliable Genetic Labeling of Adult-Born Dentate Granule Cells Using Ascl1 CreERT2 and Glast CreERT2 Murine Lines. J Neurosci. 2015;35(46):15379–90. pmid:26586824
- 61. Vyleta NP, Snyder JS. Enhanced excitability but mature action potential waveforms at mossy fiber terminals of young, adult-born hippocampal neurons in mice. Commun Biol. 2023;6(1):290. pmid:36934174
- 62. Tuncdemir SN, Grosmark AD, Chung H, Luna VM, Lacefield CO, Losonczy A, et al. Adult-born granule cells facilitate remapping of spatial and non-spatial representations in the dentate gyrus. Neuron. 2023;111(24):4024-4039.e7. pmid:37820723
- 63. Pilz G-A, Bottes S, Betizeau M, Jörg DJ, Carta S, April S, et al. Live imaging of neurogenesis in the adult mouse hippocampus. Science. 2018;359(6376):658–62. pmid:29439238
- 64. Bottes S, Jaeger BN, Pilz G-A, Jörg DJ, Cole JD, Kruse M, et al. Long-term self-renewing stem cells in the adult mouse hippocampus identified by intravital imaging. Nat Neurosci. 2021;24(2):225–33. pmid:33349709
- 65. Burger C, Nash KR. Small-Scale Recombinant Adeno-Associated Virus Purification. Methods Mol Biol. 2016;1382:95–106. pmid:26611581
- 66. Cherry JD, Esnault CD, Baucom ZH, Tripodis Y, Huber BR, Alvarez VE, et al. Tau isoforms are differentially expressed across the hippocampus in chronic traumatic encephalopathy and Alzheimer’s disease. Acta Neuropathol Commun. 2021;9(1):86. pmid:33980303
- 67. Longair MH, Baker DA, Armstrong JD. Simple Neurite Tracer: open source software for reconstruction, visualization and analysis of neuronal processes. Bioinformatics. 2011;27(17):2453–4. pmid:21727141
- 68. Sholl DA. Dendritic organization in the neurons of the visual and motor cortices of the cat. J Anat. 1953;87(4):387–406. pmid:13117757
- 69. Berry KP, Nedivi E. Spine Dynamics: Are They All the Same?. Neuron. 2017;96(1):43–55. pmid:28957675
- 70. Yu Z, Guindani M, Grieco SF, Chen L, Holmes TC, Xu X. Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research. Neuron. 2022;110(1):21–35. pmid:34784504
- 71. Wilson MD, Sethi S, Lein PJ, Keil KP. Valid statistical approaches for analyzing sholl data: Mixed effects versus simple linear models. J Neurosci Methods. 2017;279:33–43. pmid:28104486
- 72.
AG Z. adrigabzu/sholl_analysis_in_R: AUC calculation and stats (1.1). In: Zenodo [Internet]. 2018. Available: https://doi.org/10.5281/zenodo.1158612
- 73. Wang Y, Mandelkow E. Tau in physiology and pathology. Nat Rev Neurosci. 2016;17(1):5–21. pmid:26631930
- 74. Chuang TT. Neurogenesis in mouse models of Alzheimer’s disease. Biochim Biophys Acta. 2010;1802(10):872–80. pmid:20056145
- 75. Moreno-Jiménez EP, Flor-García M, Terreros-Roncal J, Rábano A, Cafini F, Pallas-Bazarra N, et al. Adult hippocampal neurogenesis is abundant in neurologically healthy subjects and drops sharply in patients with Alzheimer’s disease. Nat Med. 2019;25(4):554–60. pmid:30911133
- 76. Bolós M, Pallas-Bazarra N, Terreros-Roncal J, Perea JR, Jurado-Arjona J, Ávila J, et al. Soluble Tau has devastating effects on the structural plasticity of hippocampal granule neurons. Transl Psychiatry. 2017;7(12):1267. pmid:29217824
- 77.
Pfeiffer T, Poll S, Bancelin S, Angibaud J, Inavalli VK, Keppler K, et al. Chronic 2P-STED imaging reveals high turnover of dendritic spines in the hippocampus in vivo. eLife. 2018;7: 1–17. https://doi.org/10.7554/elife.34700.001
- 78. Galimberti I, Gogolla N, Alberi S, Santos AF, Muller D, Caroni P. Long-term rearrangements of hippocampal mossy fiber terminal connectivity in the adult regulated by experience. Neuron. 2006;50(5):749–63. pmid:16731513
- 79. Zhang TR, Askari B, Kesici A, Guilherme E, Vila-Rodriguez F, Snyder JS. Intermittent theta burst transcranial magnetic stimulation induces hippocampal mossy fibre plasticity in male but not female mice. Eur J Neurosci. 2023;57(2):310–23. pmid:36484786
- 80. Lee H, Wang C, Deshmukh SS, Knierim JJ. Neural Population Evidence of Functional Heterogeneity along the CA3 Transverse Axis: Pattern Completion versus Pattern Separation. Neuron. 2015;87(5):1093–105. pmid:26298276
- 81. Acsády L, Kamondi A, Sík A, Freund T, Buzsáki G. GABAergic cells are the major postsynaptic targets of mossy fibers in the rat hippocampus. J Neurosci. 1998;18(9):3386–403. pmid:9547246
- 82. Ruediger S, Vittori C, Bednarek E, Genoud C, Strata P, Sacchetti B, et al. Learning-related feedforward inhibitory connectivity growth required for memory precision. Nature. 2011;473(7348):514–8. pmid:21532590
- 83. Guo N, Soden ME, Herber C, Kim MT, Besnard A, Lin P, et al. Dentate granule cell recruitment of feedforward inhibition governs engram maintenance and remote memory generalization. Nat Med. 2018;24(4):438–49. pmid:29529016
- 84. Polydoro M, Dzhala VI, Pooler AM, Nicholls SB, McKinney AP, Sanchez L, et al. Soluble pathological tau in the entorhinal cortex leads to presynaptic deficits in an early Alzheimer’s disease model. Acta Neuropathol. 2014;127(2):257–70. pmid:24271788
- 85. Jackman SL, Regehr WG. The Mechanisms and Functions of Synaptic Facilitation. Neuron. 2017;94(3):447–64. pmid:28472650
- 86. Petersen RP, Moradpour F, Eadie BD, Shin JD, Kannangara TS, Delaney KR, et al. Electrophysiological identification of medial and lateral perforant path inputs to the dentate gyrus. Neuroscience. 2013;252:154–68. pmid:23933307
- 87. Wang W, Trieu BH, Palmer LC, Jia Y, Pham DT, Jung K-M, et al. A Primary Cortical Input to Hippocampus Expresses a Pathway-Specific and Endocannabinoid-Dependent Form of Long-Term Potentiation. eNeuro. 2016;3(4):ENEURO.0160-16.2016. pmid:27517090
- 88. Christie BR, Abraham WC. Differential regulation of paired-pulse plasticity following LTP in the dentate gyrus. Neuroreport. 1994;5(4):385–8. pmid:8003660
- 89. Yeung L-K, Olsen RK, Bild-Enkin HEP, D’Angelo MC, Kacollja A, McQuiggan DA, et al. Anterolateral Entorhinal Cortex Volume Predicted by Altered Intra-Item Configural Processing. J Neurosci. 2017;37(22):5527–38. pmid:28473640
- 90. Crary JF, Trojanowski JQ, Schneider JA, Abisambra JF, Abner EL, Alafuzoff I, et al. Primary age-related tauopathy (PART): a common pathology associated with human aging. Acta Neuropathol. 2014;128(6):755–66. pmid:25348064
- 91. Duyckaerts C, Braak H, Brion J-P, Buée L, Del Tredici K, Goedert M, et al. PART is part of Alzheimer disease. Acta Neuropathol. 2015;129(5):749–56. pmid:25628035
- 92. Largo-Barrientos P, Apóstolo N, Creemers E, Callaerts-Vegh Z, Swerts J, Davies C, et al. Lowering Synaptogyrin-3 expression rescues Tau-induced memory defects and synaptic loss in the presence of microglial activation. Neuron. 2021;109(5):767-777.e5. pmid:33472038
- 93. Mecca AP, O’Dell RS, Sharp ES, Banks ER, Bartlett HH, Zhao W, et al. Synaptic density and cognitive performance in Alzheimer’s disease: A PET imaging study with [11 C]UCB-J. Alzheimers Dement. 2022;18(12):2527–36. pmid:35174954
- 94. Huijbers W, Schultz AP, Papp KV, LaPoint MR, Hanseeuw B, Chhatwal JP, et al. Tau Accumulation in Clinically Normal Older Adults Is Associated with Hippocampal Hyperactivity. J Neurosci. 2019;39(3):548–56. pmid:30482786
- 95. Mecca AP, Chen M-K, O’Dell RS, Naganawa M, Toyonaga T, Godek TA, et al. Association of entorhinal cortical tau deposition and hippocampal synaptic density in older individuals with normal cognition and early Alzheimer’s disease. Neurobiol Aging. 2022;111:44–53. pmid:34963063
- 96. Terreros-Roncal J, Flor-García M, Moreno-Jiménez EP, Pallas-Bazarra N, Rábano A, Sah N, et al. Activity-Dependent Reconnection of Adult-Born Dentate Granule Cells in a Mouse Model of Frontotemporal Dementia. J Neurosci. 2019;39(29):5794–815. pmid:31133559
- 97. McInnes J, Wierda K, Snellinx A, Bounti L, Wang Y-C, Stancu I-C, et al. Synaptogyrin-3 Mediates Presynaptic Dysfunction Induced by Tau. Neuron. 2018;97(4):823-835.e8. pmid:29398363
- 98. Jackson JS, Witton J, Johnson JD, Ahmed Z, Ward M, Randall AD, et al. Altered Synapse Stability in the Early Stages of Tauopathy. Cell Rep. 2017;18(13):3063–8. pmid:28355559
- 99. Rocher AB, Crimins JL, Amatrudo JM, Kinson MS, Todd-Brown MA, Lewis J, et al. Structural and functional changes in tau mutant mice neurons are not linked to the presence of NFTs. Exp Neurol. 2010;223(2):385–93. pmid:19665462
- 100. Ramirez JJ, McQuilkin M, Carrigan T, MacDonald K, Kelley MS. Progressive entorhinal cortex lesions accelerate hippocampal sprouting and spare spatial memory in rats. Proc Natl Acad Sci U S A. 1996;93(26):15512–7. pmid:8986843
- 101. Geddes JW, Monaghan DT, Cotman CW, Lott IT, Kim RC, Chui HC. Plasticity of hippocampal circuitry in Alzheimer’s disease. Science. 1985;230(4730):1179–81. pmid:4071042
- 102. Criscuolo C, Fontebasso V, Middei S, Stazi M, Ammassari-Teule M, Yan SS, et al. Entorhinal Cortex dysfunction can be rescued by inhibition of microglial RAGE in an Alzheimer’s disease mouse model. Sci Rep. 2017;7:42370. pmid:28205565
- 103. Megill A, Tran T, Eldred K, Lee NJ, Wong PC, Hoe H-S, et al. Defective Age-Dependent Metaplasticity in a Mouse Model of Alzheimer’s Disease. J Neurosci. 2015;35(32):11346–57. pmid:26269641
- 104. Jin K, Galvan V, Xie L, Mao XO, Gorostiza OF, Bredesen DE, et al. Enhanced neurogenesis in Alzheimer’s disease transgenic (PDGF-APPSw,Ind) mice. Proc Natl Acad Sci U S A. 2004;101(36):13363–7. pmid:15340159
- 105. Smith BM, Saulsbery AI, Sarchet P, Devasthali N, Einstein D, Kirby ED. Oral and Injected Tamoxifen Alter Adult Hippocampal Neurogenesis in Female and Male Mice. eNeuro. 2022;9(2):ENEURO.0422-21.2022. pmid:35387845
- 106. Lee C-M, Zhou L, Liu J, Shi J, Geng Y, Liu M, et al. Single-cell RNA-seq analysis revealed long-lasting adverse effects of tamoxifen on neurogenesis in prenatal and adult brains. Proc Natl Acad Sci U S A. 2020;117(32):19578–89. pmid:32727894
- 107. Rotheneichner P, Romanelli P, Bieler L, Pagitsch S, Zaunmair P, Kreutzer C, et al. Tamoxifen Activation of Cre-Recombinase Has No Persisting Effects on Adult Neurogenesis or Learning and Anxiety. Front Neurosci. 2017;11:27. pmid:28203140
- 108. Crisci I, Bonzano S, Nicolas Z, Dallorto E, Peretto P, Krezel W, et al. Tamoxifen exerts direct and microglia-mediated effects preventing neuroinflammatory changes in the adult mouse hippocampal neurogenic niche. Glia. 2024;72(7):1273–89. pmid:38515286
- 109. Chen Y, Tian Y, Tian H, Huang Q, Fang Y, Wang W, et al. Tamoxifen promotes white matter recovery and cognitive functions in male mice after chronic hypoperfusion. Neurochem Int. 2019;131:104566. pmid:31593788
- 110. Asai H, Ikezu S, Tsunoda S, Medalla M, Luebke J, Haydar T, et al. Depletion of microglia and inhibition of exosome synthesis halt tau propagation. Nat Neurosci. 2015;18(11):1584–93. pmid:26436904
- 111. Wilson IA, Ikonen S, Gallagher M, Eichenbaum H, Tanila H. Age-associated alterations of hippocampal place cells are subregion specific. J Neurosci. 2005;25(29):6877–86. pmid:16033897
- 112. Bakker A, Krauss GL, Albert MS, Speck CL, Jones LR, Stark CE, et al. Reduction of hippocampal hyperactivity improves cognition in amnestic mild cognitive impairment. Neuron. 2012;74(3):467–74. pmid:22578498
- 113. Drew LJ, Kheirbek MA, Luna VM, Denny CA, Cloidt MA, Wu MV, et al. Activation of local inhibitory circuits in the dentate gyrus by adult-born neurons. Hippocampus. 2016;26(6):763–78. pmid:26662922
- 114. Ash AM, Regele-Blasco E, Seib DR, Chahley E, Skelton PD, Luikart BW, et al. Adult-born neurons inhibit developmentally-born neurons during spatial learning. Neurobiol Learn Mem. 2023;198:107710. pmid:36572174
- 115. McHugh SB, Lopes-Dos-Santos V, Gava GP, Hartwich K, Tam SKE, Bannerman DM, et al. Adult-born dentate granule cells promote hippocampal population sparsity. Nat Neurosci. 2022;25(11):1481–91. pmid:36216999
- 116. Burghardt NS, Park EH, Hen R, Fenton AA. Adult-born hippocampal neurons promote cognitive flexibility in mice. Hippocampus. 2012;22(9):1795–808. pmid:22431384
- 117. Restivo L, Niibori Y, Mercaldo V, Josselyn SA, Frankland PW. Development of Adult-Generated Cell Connectivity with Excitatory and Inhibitory Cell Populations in the Hippocampus. J Neurosci. 2015;35(29):10600–12. pmid:26203153
- 118. Jain S, LaFrancois JJ, Botterill JJ, Alcantara-Gonzalez D, Scharfman HE. Adult neurogenesis in the mouse dentate gyrus protects the hippocampus from neuronal injury following severe seizures. Hippocampus. 2019;29(8):683–709. pmid:30672046
- 119. Reagh ZM, Ho HD, Leal SL, Noche JA, Chun A, Murray EA, et al. Greater loss of object than spatial mnemonic discrimination in aged adults. Hippocampus. 2016;26(4):417–22. pmid:26691235
- 120. Hunsaker MR, Chen V, Tran GT, Kesner RP. The medial and lateral entorhinal cortex both contribute to contextual and item recognition memory: a test of the binding of items and context model. Hippocampus. 2013;23(5):380–91. pmid:23436324
- 121. Vandrey B, Garden DLF, Ambrozova V, McClure C, Nolan MF, Ainge JA. Fan Cells in Layer 2 of the Lateral Entorhinal Cortex Are Critical for Episodic-like Memory. Curr Biol. 2020;30(1):169-175.e5. pmid:31839450
- 122. Wilson DIG, Langston RF, Schlesiger MI, Wagner M, Watanabe S, Ainge JA. Lateral entorhinal cortex is critical for novel object-context recognition. Hippocampus. 2013;23(5):352–66. pmid:23389958
- 123. Clelland CD, Choi M, Romberg C, Clemenson GD, Fragniere A, Tyers P, et al. A functional role for adult hippocampal neurogenesis in spatial pattern separation. Science. 2009;325(5937):210–3. pmid:19590004
- 124. Bekinschtein P, Kent BA, Oomen CA, Clemenson GD, Gage FH, Saksida LM, et al. BDNF in the dentate gyrus is required for consolidation of “pattern-separated” memories. Cell Rep. 2013;5(3):759–68. pmid:24209752
- 125. Koran MEI, Wagener M, Hohman TJ, Alzheimer’s Neuroimaging Initiative. Sex differences in the association between AD biomarkers and cognitive decline. Brain Imaging Behav. 2017;11(1):205–13. pmid:26843008
- 126. Hu Y-T, Boonstra J, McGurran H, Stormmesand J, Sluiter A, Balesar R, et al. Sex differences in the neuropathological hallmarks of Alzheimer’s disease: focus on cognitively intact elderly individuals. Neuropathol Appl Neurobiol. 2021;47(7):958–66. pmid:33969531
- 127. Chen X-L, Fortes JM, Hu Y-T, van Iersel J, He K-N, van Heerikhuize J, et al. Sexually dimorphic age-related molecular differences in the entorhinal cortex of cognitively intact elderly: Relation to early Alzheimer’s changes. Alzheimers Dement. 2023;19(9):3848–57. pmid:36960685
- 128. Sun Y, Guo Y, Feng X, Jia M, Ai N, Dong Y, et al. The behavioural and neuropathologic sexual dimorphism and absence of MIP-3α in tau P301S mouse model of Alzheimer’s disease. J Neuroinflammation. 2020;17(1):72. pmid:32093751
- 129. O’Leary TP, Askari B, Lee BH, Darby K, Knudson C, Ash AM, et al. Sex Differences in the Spatial Behavior Functions of Adult-Born Neurons in Rats. eNeuro. 2022;9(3):ENEURO.0054-22.2022. pmid:35473765
- 130. Yang J-T, Wang Z-J, Cai H-Y, Yuan L, Hu M-M, Wu M-N, et al. Sex Differences in Neuropathology and Cognitive Behavior in APP/PS1/tau Triple-Transgenic Mouse Model of Alzheimer’s Disease. Neurosci Bull. 2018;34(5):736–46. pmid:30099679
- 131. Barber AJ, Del Genio CL, Swain AB, Pizzi EM, Watson SC, Tapiavala VN, et al. Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients. Alzheimers Res Ther. 2024;16(1):134. pmid:38909241
- 132. Lewis J, Dickson DW, Lin WL, Chisholm L, Corral A, Jones G, et al. Enhanced neurofibrillary degeneration in transgenic mice expressing mutant tau and APP. Science. 2001;293(5534):1487–91. pmid:11520987
- 133. Boccalini C, Peretti DE, Scheffler M, Mu L, Griffa A, Testart N, et al. Sex differences in the association of Alzheimer’s disease biomarkers and cognition in a multicenter memory clinic study. Alzheimers Res Ther. 2025;17(1):46. pmid:39966925
- 134. Toni N, Teng EM, Bushong EA, Aimone JB, Zhao C, Consiglio A, et al. Synapse formation on neurons born in the adult hippocampus. Nat Neurosci. 2007;10(6):727–34. pmid:17486101
- 135. Toni N, Laplagne DA, Zhao C, Lombardi G, Ribak CE, Gage FH, et al. Neurons born in the adult dentate gyrus form functional synapses with target cells. Nat Neurosci. 2008;11(8):901–7. pmid:18622400
- 136. Adlaf EW, Vaden RJ, Niver AJ, Manuel AF, Onyilo VC, Araujo MT, et al. Adult-born neurons modify excitatory synaptic transmission to existing neurons. Elife. 2017;6:e19886. pmid:28135190
- 137. McAvoy KM, Scobie KN, Berger S, Russo C, Guo N, Decharatanachart P, et al. Modulating Neuronal Competition Dynamics in the Dentate Gyrus to Rejuvenate Aging Memory Circuits. Neuron. 2016;91(6):1356–73. pmid:27593178
- 138. Dayer AG, Ford AA, Cleaver KM, Yassaee M, Cameron HA. Short-term and long-term survival of new neurons in the rat dentate gyrus. J Comp Neurol. 2003;460(4):563–72. pmid:12717714
- 139. Ciric T, Cahill SP, Snyder JS. Dentate gyrus neurons that are born at the peak of development, but not before or after, die in adulthood. Brain Behav. 2019;9(10):e01435. pmid:31576673
- 140. Cahill SP, Yu RQ, Green D, Todorova EV, Snyder JS. Early survival and delayed death of developmentally-born dentate gyrus neurons. Hippocampus. 2017;27(11):1155–67. pmid:28686814
- 141. Montaron M-F, Charrier V, Blin N, Garcia P, Abrous DN. Responsiveness of dentate neurons generated throughout adult life is associated with resilience to cognitive aging. Aging Cell. 2020;19(8):e13161. pmid:32599664
- 142. Lemaire V, Tronel S, Montaron M-F, Fabre A, Dugast E, Abrous DN. Long-lasting plasticity of hippocampal adult-born neurons. J Neurosci. 2012;32(9):3101–8. pmid:22378883
- 143. Tronel S, Fabre A, Charrier V, Oliet SHR, Gage FH, Abrous DN. Spatial learning sculpts the dendritic arbor of adult-born hippocampal neurons. Proc Natl Acad Sci U S A. 2010;107(17):7963–8. pmid:20375283
- 144. Overstreet-Wadiche LS, Bensen AL, Westbrook GL. Delayed development of adult-generated granule cells in dentate gyrus. J Neurosci. 2006;26(8):2326–34. pmid:16495460
- 145. Trinchero MF, Buttner KA, Sulkes Cuevas JN, Temprana SG, Fontanet PA, Monzón-Salinas MC, et al. High Plasticity of New Granule Cells in the Aging Hippocampus. Cell Rep. 2017;21(5):1129–39. pmid:29091753
- 146. Kohler SJ, Williams NI, Stanton GB, Cameron JL, Greenough WT. Maturation time of new granule cells in the dentate gyrus of adult macaque monkeys exceeds six months. Proc Natl Acad Sci U S A. 2011;108(25):10326–31. pmid:21646517
- 147. Flood DG, Buell SJ, Defiore CH, Horwitz GJ, Coleman PD. Age-related dendritic growth in dentate gyrus of human brain is followed by regression in the “oldest old”. Brain Res. 1985;345(2):366–8. pmid:4041896
- 148. Flood DG, Buell SJ, Horwitz GJ, Coleman PD. Dendritic extent in human dentate gyrus granule cells in normal aging and senile dementia. Brain Res. 1987;402(2):205–16. pmid:3828793
- 149. Zhou Y, Su Y, Li S, Kennedy BC, Zhang DY, Bond AM, et al. Molecular landscapes of human hippocampal immature neurons across lifespan. Nature. 2022;607(7919):527–33. pmid:35794479