Skip to main content
PMC home page
Life Science Alliance logoLink to Life Science Alliance
. 2021 Sep 20;4(11):e202000703. doi: 10.26508/lsa.202000703

Choroid plexus APP regulates adult brain proliferation and animal behavior

Karen Arnaud 1,*, Vanessa Oliveira Moreira 1,*, Jean Vincent 2, Glenn Dallerac 1, Chantal Dubreuil 1, Edmond Dupont 1, Max Richter 3, Ulrike C Müller 3, Laure Rondi-Reig 2, Alain Prochiantz 1,✉, Ariel A Di Nardo 1,✉
PMCID: PMC8473726  PMID: 34544751

Adult mouse choroid plexus shows elevated APP expression. sAPPα secreted into the CSF modulates neurogenic niche proliferation, whereas choroid plexus expression of fAD APP mutants leads to reduced niche proliferation, deficits in hippocampus synaptic plasticity, and learning defects.

Abstract

Elevated amyloid precursor protein (APP) expression in the choroid plexus suggests an important role for extracellular APP metabolites such as sAPPα in cerebrospinal fluid. Despite widespread App brain expression, we hypothesized that specifically targeting choroid plexus expression could alter animal physiology. Through various genetic and viral approaches in the adult mouse, we show that choroid plexus APP levels significantly impact proliferation in both subventricular zone and hippocampus dentate gyrus neurogenic niches. Given the role of Aβ peptides in Alzheimer disease pathogenesis, we also tested whether favoring the production of Aβ in choroid plexus could negatively affect niche functions. After AAV5-mediated long-term expression of human mutated APP specifically in the choroid plexus of adult wild-type mice, we observe reduced niche proliferation, reduced hippocampus APP expression, behavioral defects in reversal learning, and deficits in hippocampal long-term potentiation. Our findings highlight the unique role played by the choroid plexus in regulating brain function and suggest that targeting APP in choroid plexus may provide a means to improve hippocampus function and alleviate disease-related burdens.

Introduction

The cerebrospinal fluid (CSF) has gained attention as a source of biomarkers mirroring the progression of Alzheimer disease (AD), the major cause of dementia worldwide (Henstridge et al, 2019). A clinically accepted CSF biomarker is the amount of Aβ42 relative to Aβ40 (Molinuevo et al, 2018; Palmqvist et al, 2019), both of which are peptide metabolites of the amyloid precursor protein (APP). As Aβ42 oligomerizes and forms amyloid plaques in the parenchyma, an inverse amount of soluble Aβ42 is cleared into the CSF. Along with the Aβ peptides, the soluble sAPPα and sAPPβ ectodomains have also been detected in CSF and were assumed to originate from the parenchyma through clearance (Perneczky et al, 2014). However, studies point to high APP expression in the choroid plexus (ChPl) (Liu et al, 2013; Baruch et al, 2014; Planques et al, 2021), a structure responsible for CSF secretion within brain ventricles. These findings suggest that soluble APP metabolites, such as sAPPα or sAPPβ, from ChPl have functional purpose in the CSF, and we hypothesized that targeting ChPl expression of APP could alter animal physiology.

The ChPl is considered an important contributor to adult neurogenesis by secreting trophic factors, transcription factors, and guidance molecules into the CSF which signal to the neurogenic niche (Lehtinen et al, 2011; Silva-Vargas et al, 2013; Bjornsson et al, 2015; Planques et al, 2019). Interestingly, a deficit in adult neurogenesis has been associated with AD (Rodríguez and Verkhratsky, 2011; Winner & Winkler, 2015; Choi et al, 2018; Moreno-Jiménez et al, 2019; Toda et al, 2019). Although adult neurogenesis in humans has been recently challenged (Sorrells et al, 2018) and debated (Paredes et al, 2018; Tartt et al, 2018), it has been demonstrated conclusively in rodents, with two primary neurogenic sites, the subventricular zone (SVZ) and the subgranular zone (SGZ) of the hippocampal dentate gyrus (DG). Neurogenesis is impaired in mouse models of familial AD (fAD). Early models with mutated APP show decreased adult SGZ proliferation and survival of neural progenitor cells (NPCs) (Haughey et al, 2002b; Donovan et al, 2006), whereas other models expressing fAD forms of APP and/or presenilin-1 also show decreased adult SVZ proliferation (Demars et al, 2010; Zeng et al, 2016) or hippocampal neurogenesis (Arber et al, 2021). Furthermore, deficits in adult neurogenesis precede amyloid plaque and neurofibrillary tangle formation (Hamilton et al, 2010).

APP plays a role in adult neurogenesis, either as full-length transmembrane APP (Wang et al, 2014) or through its sAPPα ectodomain (Caillé et al, 2004; Demars et al, 2011; Baratchi et al, 2012). Although the controversy on adult neurogenesis in the humans cannot be ignored, recent studies convincingly show that adult DG neurogenesis is maintained at a high level until old age but drops sharply in AD patients (Moreno-Jiménez et al, 2019) and in patients with mild cognitive impairments (Tobin et al, 2019), supporting the AD “neurogenesis” hypothesis of cognitive impairment (Lazarov et al, 2010; Lazarov & Hollands, 2016; Choi & Tanzi, 2019). We previously showed in mice that sAPPα infused in the CSF accumulates within the adult SVZ and enhances proliferation (Caillé et al, 2004). In line with these observations, we aimed to evaluate the importance of ChPl APP in regulating adult neurogenesis and to explore the possibility that the ChPl might constitute an important actor and translational target in healthy and pathological aging. We report that sAPPα produced specifically from the ChPl in adult mice positively affects proliferation in both neurogenic niches. Conversely, ChPl-specific viral expression of human APP bearing the Swedish-Indiana (SwInd) mutations to favor CSF Aβ production, results in reduced proliferation in both niches, causes defects in reversal learning, and impairs synaptic plasticity in the hippocampus.

Results

App is highly expressed in the adult choroid plexus

Given that ventricular infusion of recombinant sAPPα affects SVZ proliferation (Caillé et al, 2004; Demars et al, 2013), and that the ChPl expresses APP (Liu et al, 2013), we hypothesized that the ChPl is a potential endogenous source for CSF-borne sAPPα. Indeed, App is one of the most highly expressed ChPl genes (Baruch et al, 2014; Planques et al, 2021), and we confirmed high App expression levels in the ChPl by qPCR. In comparison to the hippocampus (that has been shown previously to strongly express APP) and the SVZ, we found higher levels in ChPl in lateral and fourth ventricles of 4-mo-old adult mice (Fig 1A). Interestingly, Transthyretin and Apoe, two genes involved in APP functions (Sousa et al, 2007; Deane et al, 2008) are also very highly expressed in the ChPl (Baruch et al, 2014; Silva-Vargas et al, 2016; Planques et al, 2021).

Figure 1. Choroid plexus App loss-of-function in Appflox/flox mice decreases adult neural progenitor proliferation.

Figure 1.

Open in a new tab

(A) Quantitative PCR analysis of App expression in ChPl from ventricles (LV and 4V), SVZ, and Hc in wild type mice. Values (n = 4 mice) are normalized to GAPDH and expression in Hc. (B) Schematic of App ChPl knock-down model involving single icv injection of Veh or Cre-Tat in adult Appflox/flox mice. (C) App specific recombination in LV choroid plexus after Cre-Tat icv injection. PCR of genomic DNA extracted from ChPl and Hc. Grey arrow indicates App wild type locus, black arrow indicates deleted App locus upon Cre recombination. (D) Quantitative PCR analysis of App expression normalized to GAPDH after Cre-Tat or Veh icv injection (n = 5 mice per group). (E) Western blot analysis of ChPl and Hc after Cre-Tat or Veh icv injection for quantification of APP protein levels normalized to actin (n = 5 mice per group). (F) Schematic of sAPPα rescue paradigm for evaluating SVZ cell proliferation. sAPPα was infused by 15-d osmotic mini-pump implanted immediately after Cre-Tat icv injection. (G) Analysis of SVZ cell proliferation by quantification of Ki67 positive cells after Veh or Cre-Tat icv injection followed by infusion of Veh or sAPPα (Veh/Veh n = 7 mice, Cre-Tat/Veh n = 6 mice, Cre-Tat/sAPPα n = 7 mice). (H) Schematic of App ChPl knock-down with environmental enrichment (running wheel) for evaluating Hc proliferation. (I) Analysis of DG cell proliferation by quantification of Ki67 positive cells after App recombination in mice in normal conditions or after physical exercise (Veh n = 7 mice, Cre-Tat n = 8 mice). *P < 0.05; **P < 0.01; ***P < 0.001; t test in (A, D, E, G); one-way ANOVA in (I); all values, mean ± SD. LV, lateral ventricle; 4V, fourth ventricle; ChPl, choroid plexus; Hc, hippocampus; SVZ, ventricular-subventricular zone; DG, dentate gyrus; icv, intracerebroventricular; Veh, vehicle.

App knock-down in the choroid plexus decreases adult proliferation

To knockdown App expression locally and specifically in ChPl, we performed Cre-Tat intracerebroventricular (icv) injections in 10-mo-old Appflox/flox mice (Fig 1B). Cre-mediated deletion of the App locus and App expression were evaluated 15 d later in hippocampus and ChPl (Fig 1B–E). The specificity of Cre-Tat targeting selectively the ChPl was confirmed by the absence of recombination in hippocampus (Fig 1C), as previously demonstrated for another floxed mouse model (Spatazza et al, 2013). Consequently, only in ChPl do we observe a decrease in App mRNA (Fig 1D) and APP protein (Fig 1E).

To evaluate the impact of App knock-down on cell proliferation, ∼3-mo-old Appflox/flox mice were injected with vehicle or Cre-Tat and subsequently implanted with 15-d osmotic mini-pumps for CSF infusion of either vehicle or sAPPα (Fig 1F). Compared to vehicle injected/infused controls, animals injected with Cre-Tat and infused with vehicle showed a significant reduction in the number of proliferating cells in the SVZ (Fig 1G). This decrease was rescued by infusion of sAPPα (Fig 1G), suggesting that knock-down of CSF sAPPα from ChPl leads to impaired neurogenesis. In contrast, this experimental paradigm did not alter DG proliferation (Fig 1H and I), even under enriched environment conditions with free access to running wheels known to stimulate hippocampal proliferation (Van Praag et al, 1999).

To reduce App levels more robustly in the ChPl, a viral vector expressing shRNA against the mouse App sequence was injected into the ventricles of ∼3-mo-old wild-type mice (Fig 2A). As previously reported (Watson et al, 2005), icv injection of serotype 5 adeno-associated virus (AAV5) results in specific ChPl targeting, and indeed we did not detect expression of co-expressed eGFP reporter protein in the parenchyma, including SVZ (Fig 2B), cortex, and hippocampus (Fig S1A–C). 6 wk post-injection, App (mRNA) and APP protein decreased nearly fivefold in ChPl with no change in hippocampus levels (Fig 2C and D). We observed an accompanying decrease in APP metabolites in the ChPl (Fig 2D), including the C83 fragment produced by α-secretase activity, and the absence of altered relative full length to C83 ratios (Fig 2D, right panel) suggests that this approach decreases overall APP levels without affecting APP metabolic processing outcomes. Interestingly, this decrease in APP led to a significant reduction in the number of proliferating cells in both SVZ and DG (Fig 2E and F). Thus, there appear to be differences in sensitivity to ChPl APP levels between SVZ and DG: in the Appflox/flox mouse model, where ChPl App (mRNA) knockdown is ∼50% (Fig 1D), proliferation decreases in SVZ but not in DG; in the viral shRNA (App) model, where ChPl App (mRNA) knockdown is ∼80% (Fig 2C), proliferation decreases in both niches.

Figure 2. Knock-down of choroid plexus App expression reduces cell proliferation in neurogenic niches.

Figure 2.

Open in a new tab

(A) Schematic of App ChPl knock-down model involving a single icv injection of AAV5 expressing shRNA targeting the mouse App sequence in wild type mice. Control (Ctrl) virus expresses a scrambled shRNA devoid of targets in mouse. (B) An icv injection of AAV5 leads to specific choroid plexus expression. Note the absence of eGFP in brain parenchyma. Scale bar, 200 μm. (C) Quantitative PCR analysis of App expression in the ChPl and Hc after ChPl App knock-down (n = 4 mice per group). (D) Western blot analysis of ChPl and Hc after ChPl App knock-down for quantification of APP protein levels normalized to actin, and assessing normalized APP metabolite ratios (n = 4 mice per group). (E, F) Analysis of cell proliferation in SVZ (E) and DG (F) by quantification of Ki67 positive cells after ChPl App knock-down (shRNA-App n = 7 mice, shRNA-Ctrl n = 5 mice). Arrows in (E) highlight regional differences in SVZ cells. Scale bars, 100 μm. **P < 0.01; ***P < 0.001; t test; all values, mean ± SD. ChPl, choroid plexus; Hc, hippocampus; SVZ, ventricular-subventricular zone; DG, dentate gyrus; icv, intracerebroventricular.

Figure S1. Specificity of AAV5 expression after intracerebroventricular injection in adult mouse.

Figure S1.

Open in a new tab

(A, B, C) Immunohistochemical analysis of GFP expression of different coronal sections (with different magnification) of ∼4-mo-old mice, 6 wk after intracerebroventricular injection of AAV5-eGFP-U6-shRNA(App) virus. GFP expression is only observed in choroid plexus (A, C). Scale bars, 200 μm. DG, dentate gyrus; D3V, dorsal third ventricle; LV, lateral ventricle.

sAPPα gain-of-function in either cerebrospinal fluid or choroid plexus increases adult proliferation

APP can be cleaved either along the non-amyloidogenic pathway to give rise to sAPPα or along the amyloidogenic pathway to produce its sAPPβ counterpart, and the icv injection of the two sAPP forms has been previously shown to have opposite effects on neurogenesis. sAPPα was found to increase both SVZ and SGZ NPC proliferation 30 h after icv injection of sAPPα protein in ∼8-mo-old wild-type mice, whereas sAPPβ protein icv injection decreased proliferation in both niches (Demars et al, 2013). However, a previous study involving 3-d icv infusion of sAPPα-Fc in ∼2-mo-old wild-type mice found increased SVZ proliferation but no change in SGZ proliferation (Caillé et al, 2004); these differences may be due to longer infusion times or to the use of a fusion sAPPα-human IgG1(Fc) protein construct. To further investigate the impact of sAPP on adult neurogenesis, either sAPPα or sAPPβ protein was infused for 7 d in the lateral ventricles of ∼3-mo-old wild-type mice (Fig 3A). In our infusion paradigm, sAPPα protein increased the number of proliferating cells both in the SVZ and SGZ of adult mice, whereas sAPPβ protein had no effect (Fig 3B–E). To confirm that CSF and ChPl sAPPα gain-of-function are correlated, icv injections of AAV5-expressing mouse App were performed for ChPl-specific over-expression (Fig 3F). After 8 wk, the relative App expression was increased by approximately twofold (Fig 3G), resulting in a significant increase in the number of proliferating cells in both the SVZ and SGZ (Fig 3H and I).

Figure 3. sAPPα gain-of-function in the cerebral ventricles increases cell proliferation in neurogenic niches.

Figure 3.

Open in a new tab

(A) Schematic of sAPP icv infusion by 7-d osmotic mini-pump in adult wild type mice. (B, C) Analysis of cell proliferation in SVZ (B) and dentate gyrus (DG) (C) by quantification of Ki67 positive cells after icv infusion of sAPPα or Veh (n = 9 mice per group). (D, E) Analysis of cell proliferation in SVZ (D) and DG (E) by quantification of Ki67 positive cells after icv infusion of sAPPβ or Veh (n = 5 mice per group). (F) Schematic of App ChPl gain-of-function model involving a single icv injection of AAV5 expressing mouse App or eGFP (control) in wild type mice. (G) Quantitative PCR analysis of App expression in ChPl after AAV5 icv injection (AAV5-mAPP n = 4 mice, AAV5-eGFP n = 3 mice). (H, I) Analysis of cell proliferation in SVZ (H) and DG (I) by quantification of Ki67 positive cells after icv injection (AAV5-mAPP n = 6 mice, AAV5-eGFP n = 5 mice). *P < 0.05; **P < 0.01; ***P < 0.001; t test; all values, mean ± SD. ChPl, choroid plexus; Hc, hippocampus; SVZ, ventricular-subventricular zone; DG, dentate gyrus; icv, intracerebroventricular; Veh, vehicle.

Choroid plexus expression of APP(SwInd) impairs behavior

Because altering APP expression selectively in the ChPl impacted neurogenic niches, we hypothesized that favoring the production of Aβ specifically in ChPl could negatively affect niche functions. To explore this possibility, we overexpressed a mutated form of human APP (Swedish K670N/M671L and Indiana V17F mutations) specifically in the ChPl of wild-type mice at 3 mo of age (Fig 4A). The consequences of this gain-of-function were evaluated 3 and 12 mo after injection (when mice were 6 and 15 mo old, respectively). We found strong hAPP(SwInd) mRNA expression in ChPl after 3 mo which increased more than threefold by 12 mo (Fig 4B). We found a near significant decrease in mouse APP protein within the ChPl (P = 0.057) and a ∼50% decrease within the hippocampus (Fig 4C). These decreases did not affect metabolic processing, as seen by unchanged ratios between C83 fragment and full-length APP (Fig 4C). Strikingly, proliferation was significantly decreased at 3 mo post-injection in both SVZ and DG of hAPP(SwInd) expressing mice. However, no difference was seen at 12 mo post-injection (Fig 4D and E), although this is likely due to the extremely low levels of proliferation also observed in control mice that may preclude further reduction. Indeed, proliferation already dramatically decreases from the time of injection at 3 mo (“No injection” in Fig 4D and E) to 6 mo (3 mo post-injection) in both niches, and further decreases in the DG at 15 mo (12 mo post-injection) as previously reported (Encinas et al, 2011). This decrease in proliferation was not due to the accumulation of amyloid plaques, as none were observed in the cortex or hippocampus of mice expressing the human APP(SwInd) in the ChPl after 12 mo (data not shown).

Figure 4. Choroid plexus hAPP(SwInd) expression decreases proliferation in neurogenic niches and impairs reversal learning.

Figure 4.

Open in a new tab

(A) Schematic of mutant APP ChPl model involving a single icv injection of AAV5 expressing human mutated APP or eGFP (control) in wild type mice. (B) Quantitative PCR analysis of ChPl viral expression of hAPP(SwInd) in wild type mice at 3- and 12-mo post-injection (n = 6 mice per group). (C) Western blot analysis of ChPl and Hc after ChPl viral expression of hAPP(SwInd) in wild type mice at 3-mo post-injection for quantification of APP protein levels normalized to actin, and assessing normalized APP metabolite ratios (n = 6 mice per group). (D, E) Quantification of Ki67 positive cells in SVZ (D) and DG (E) after ChPl viral expression (AAV5-eGFP n = 6 mice, AAV5-hAPP(SwInd) n = 12 mice). (F) Reversal learning paradigm. (G, H, I) Behavioral responses after probe test 1 (Initial) and probe test 2 (Reversal) quantified by time (G), activity (H) and distance (I) (6 mo: n = 8–11 mice per group; 15 mo: n = 11–12 mice per group). *P < 0.05; **P < 0.01; ***P < 0.001; t test; all values: mean ± SD. SVZ, ventricular-subventricular zone; DG, dentate gyrus; NE, not expressed; icv, intracerebroventricular.

We also evaluated spatial memory by using the Morris water maze reversal learning paradigm at either 3 or 12 mo post-injection (Fig 4F). Mice from either group had not been subjected to previous spatial memory tests. During the learning phases, all groups showed significant improvement in latency to find the hidden platform after 5 d of training, but no differences were observed between groups (control and hAPP(SwInd)) in either latency or swimming speed at both ages (Fig S2A–D). During probe tests, platforms were removed and performance was evaluated by the time spent in the target platform quadrant, the number of platform area crossings, and the mean total distance taken to reach the platform area (Fig 4G–I). Swimming speed remained unaltered during probe tests (Fig S2A–D). At either 3 or 12 mo post-injection, hAPP(SwInd) mice showed no difference in performance compared to controls during probe test 1 (initial learning). Performance after probe test 2 (reversal learning) was unchanged in 6-mo-old mice (3 mo post-injection) but showed significant differences for all parameters at 15 mo (12 mo post-injection). The time spent in the trained target quadrant was decreased, as was the number of platform area crossings, whereas the mean distance to find the platform area was increased, indicating that reversal learning is impaired after long-term ChPl expression of hAPP(SwInd).

Figure S2. Morris water maze escape latency and speed measured during acquisition phases and probe tests.

Figure S2.

Open in a new tab

(A, B, C, D) At 3-mo (A, B) and 12-mo (C, D) post viral injection, recordings were performed during the 5 d of initial and reversal learning phase to determine displacement speed (A, C) and mean escape latency (B, D). Displacement speed was also measured during probe tests (A, C). Escape latency cannot be measured during probe tests owing to the absence of a platform. Two-way repeated measures ANOVA; all values ± SEM.

Choroid plexus expression of App(SwInd) impairs synaptic plasticity

Compromised reversal learning may be rooted in plasticity-dependent deficits in hippocampal-dependent spatial memory. Interestingly, mouse models of AD show a marked decrease in hippocampal CA1 synaptic plasticity in the form of long-term potentiation (LTP) at 4 mo of age (Li et al, 2017). We thus assessed synaptic function at Schaffer collateral CA3 to CA1 synapses in the hippocampus of 15-mo old mice expressing hAPP(SwInd) in the ChPl after receiving AAV5 icv injections at 3 mo of age (Fig 5A). We found no change in basal synaptic transmission in CA1 as shown by comparable input/output curves (F > 1) (Fig 5B). However, paired-pulse facilitation, a form of short-term plasticity reflecting presynaptic function, is increased in mice expressing mutated APP thus indicating a decrease in pre-synaptic release probability (Fig 5C). Consistently, induction of LTP by high-frequency stimulation is significantly impaired in AAV5-hAPP(SwInd)–injected mice (Fig 5D), revealing impaired plasticity which corroborates observed deficits in spatial memory (Fig 4G–I).

Figure 5. Choroid plexus hAPP(SwInd) expression impairs hippocampal LTP.

Figure 5.

Open in a new tab

(A) Schematic of mutant APP ChPl model involving a single icv injection of AAV5 expressing human mutated APP(SwInd) or eGFP (control) in wild type mice. (B) Comparison of stimulus-response (input/output) relationship in CA1 region between AAV5-hAPP(SwInd) (N = 5, n = 13, black squares) and AAV5-eGFP (N = 7, n = 10, red dots) injected mice. (C) Comparison of paired pulse facilitation between AAV5-hAPP(SwInd) (N = 6, n = 13) and AAV5-eGFP (N = 8, n = 13) injected mice. (D) LTP was induced by high frequency stimulation (HFS) at Schaffer collateral-CA1 synapses after 20 min baseline recording of slices from mice injected with AAV5-hAPP(SwInd) (N = 4, n = 9) or AAV5-eGFP (N = 5, n = 7). Representative traces showing responses before (dashed line) and 60 min after tetanus delivery (bold line). *P < 0.05; ANOVA; all values: mean ± SEM; N, number of animals; n, number of slices; icv, intracerebroventricular. Calibration bars: 10 ms, 0.2 mV.

Discussion

The present study takes its origin in the growing interest for the ChPl, a structure increasingly recognized for its physiological importance beyond its classical “kidney of the brain” functions as it secretes CSF containing a plethora of trophic compounds (Ghersi-Egea et al, 2018). Among these compounds are growth factors, guidance cues, and morphogens, some of which gain access to the SVZ and participate in the regulation of neuroblast migration (Falcão et al, 2012; Silva-Vargas et al, 2016; Planques et al, 2019). sAPPα infused into the CSF has been shown to increase proliferation and progenitor cell numbers in the SVZ (Caillé et al, 2004; Demars et al, 2013), with binding sites on transient amplifying cells and neuroblasts (Caillé et al, 2004). Given the very high expression of APP by the ChPl, we hypothesized that sAPPα could be secreted by the ChPl into the CSF and participate in adult neurogenesis. In the present study, we focused solely on proliferation given that we had previously determined that sAPPα mainly affects transient amplifying cells in the SVZ (Caillé et al, 2004).

By conditionally knocking down App expression specifically in the ChPl through either genetic deletion or shRNA expression, we establish that ChPl APP has neurogenic activity not only in the SVZ but also in the DG. Furthermore, this reduced proliferation can be reversed by the infusion of sAPPα into the CSF. Thus, sAPPα secreted by the ChPl not only gains access to cells within the “superficial” SVZ, which contact lateral ventricles, but also to cells within the “deeper” DG within the parenchyma. Such transport has been reported for transcription factors secreted into the CSF by the ChPl (Spatazza et al, 2013). Together, these results strongly suggest that sAPPα secreted by the ChPl functions as a neurogenic factor, further confirming ChPl as a major actor in regulating adult neurogenesis. It is presently unknown which specific aspect of neurogenesis is most affected by sAPPα given that Ki67 labels mainly transiently amplifying NPCs, neuroblasts, and some stem cells. Thus, observed changes could result from altered stem cell activation or altered timing of progenitor and neuroblast division. sAPPα binds to EGFR+ cells in the SVZ (Caillé et al, 2004), and given that EGFR+ cells are either activated neural stem cells or transient amplifying cells (Codega et al, 2014), this suggest that its primary effects are restricted to these cell types.

The full range of functions of the APP family have yet to be fully identified, but several studies strongly suggest important developmental and physiological roles (Müller et al, 2017). Key functions of sAPPα include its ability to enhance spine density, synaptic plasticity, and memory (Müller et al, 2017; Mockett et al, 2019). Expression of sAPP⍺ in the hippocampus has been shown to rescue cognition and synaptic transmission and to mitigate synaptic and cognitive deficits in a pathological context (Fol et al, 2016; Xiong et al, 2017; Tan et al, 2018; Rice et al, 2019). Certain functions involve cis or trans dimer interactions between transmembrane APP molecules, and others involve heterodimers between transmembrane APP and secreted sAPPα (Milosch et al, 2014). Some of these properties are attributed to the extracellular C-terminal 16 amino acids of sAPPα, as compared to sAPPβ. For example, acute in vitro or in vivo application of sAPPα but not sAPPβ rescues hippocampal LTP in the adult brain of conditional double knockout mice lacking APP and the related protein APLP2 (Hick et al, 2015; Richter et al, 2018). This C-terminal sequence facilitates synaptic plasticity in the hippocampus through binding to functional nicotinic α7-nAChRs (Richter et al, 2018; Morrissey et al, 2019). In keeping with previous results (Demars et al, 2013), we also find that in vivo icv infusion of sAPPα, but not sAPPβ, positively impacts neurogenic niche cell proliferation in the adult mouse brain. Although the reason for this functional divergence between sAPPα and sAPPβ for proliferation remains unknown, a shift in APP processing towards the amyloidogenic pathway would reduce sAPPα levels and clearly impair both synaptic plasticity and neurogenesis.

Mouse models developed to analyze the role of specific human APP mutations typically use mutated genes often expressed throughout the brain and even the body. Our study is unique in that it explores whether expressing mutated APP only in the ChPl of adult mice (3 mo old) could affect neurogenic niche proliferation and trigger learning defects. Specific expression in ChPl of hAPP(SwInd) mutant, which favors sAPPβ and Aβ peptide formation, decreases proliferation at 3 mo after infection (6 mo old) with no change at 12 mo after infection (15 mo old). This lack of change is likely due to the naturally low level of neurogenesis at 15 mo which leaves little room for significant further decrease. Nevertheless, a reversal learning test showed a significant decrease in the cognitive performance of these mice at 15 mo. Accordingly, electrophysiological analysis at 15 mo revealed decreased pre-synaptic release probability and impaired synaptic plasticity. Strikingly, we observed reduced endogenous APP protein expression in the hippocampus. Thus, ChPl expression of hAPP(SwInd) can directly impact local brain parenchyma APP expression after 3 mo, which may explain the reduced proliferation and the eventual synaptic defects. Although we cannot provide an underlying mechanism, this result reinforces the potential for the ChPl to widely affect brain function. Also, we cannot disregard an effect due to viral production of human sAPPβ and Aβ peptide from the ChPl. While no amyloid plaques were observed in these mice, there could be a functional impact of increased sAPPβ and Aβ accumulation due to either synaptic deficits, reduced neurogenesis, and/or neuronal aging (Suberbielle et al, 2013). Given that sAPPβ icv infusion does not affect proliferation in the neurogenic niches, it is more likely that the observed deficits are due to increased Aβ (soluble or oligomers). Indeed, icv injection of Aβ has been shown to decrease SVZ proliferation (Haughey et al, 2002a). Finally, although we observe no change in proliferation at 15 mo, we cannot discount a negative long-term effect of ChPl hAPP(SwInd) on the shaping of hippocampal synaptic circuits due to impaired proliferation during aging.

Our findings strengthen the unique role played by the ChPl in regulating adult neurogenesis, and it is important to consider the morphological and transcriptomic alterations of the ChPl during normal aging and in late-onset AD that can impact the brain (Serot et al, 2000, 2001, 2012; Balusu et al, 2016; Silva-Vargas et al, 2016). These alterations can lead to changes in blood–CSF barrier properties, in ChPl function regulation, as well as in CSF composition and turnover. Furthermore, adult neurogenesis failure clearly plays a role in the development of AD in familial and possibly sporadic AD patients (Mu & Gage, 2011; Rodríguez & Verkhratsky, 2011; Hamilton et al, 2013; Gonçalves et al, 2016; Moreno-Jiménez et al, 2019; Toda et al, 2019) and could be in part responsible for the decrease in neurogenesis observed in AD patients (Moreno-Jiménez et al, 2019). Indeed, cognition in a fAD mouse model can be improved by enhancing SGZ neurogenesis and elevating levels of brain-derived neurotrophic factor (Choi et al, 2018). From a translational viewpoint, the fact that expressing a mutated APP gene exclusively in the ChPl can alter the cognitive abilities of mice raises the possibility that modifying the expression of APP or targeting APP mutations specifically in the ChPl, a structure accessible from the venous compartment (Spatazza et al, 2013), may represent a novel means to alleviate the burden associated with AD.

Materials and Methods

Animals and ethics

C57Bl/6J mice were purchased from Janvier and Appflox/flox mice were described previously (Mallm et al, 2010). All colonies were maintained under a 12:12 light/dark cycle with free access to food and water. In environmental enrichment experiments, Appflox/flox mice were placed in cages with running wheels (2 mice per cage) 7 d before surgery and kept for 15 d in these cages before analysis. All animal procedures were carried out in accordance with the guidelines of the European Economic Community (2010/63/UE) and the French National Committee (2013/118). For surgical procedures, animals were anesthetized with xylazine (2%, 5 mg/kg; Rompun) and ketamine (1,000, 80 mg/kg; Imalgene) by intraperitoneal injection. This project (no. 00702.01) obtained approval from Ethics committee no. 59 of the French Ministry for Research and Higher Education.

Protein and virus stereotaxic surgery

Vectored Cre recombinase protein, Cre-Tat, was produced as previously described (Spatazza et al, 2013). Adeno-associated virus (AAV) were of serotype 5 and purchased from either SignaGen [AAV5-CMV-eGFP-U6-shRNA(App) and AAV5-CMV-eGFP-U6-shRNA(Ctrl)] or Vector Biolabs [AAV5-CMV-eGFP-2A-mAPP[NM_007471.3], AAV5-CMV-mCherry-2A-hAPP(SwInd), and AAV5-CMV-eGFP]. The hAPP(SwInd) sequence is a form of human APP [NM_201414.2] bearing both Swedish (K670N/M671L) and Indiana (V717F) related mutations. Cre-Tat protein (∼30 μg), vehicle (protein vehicle is 1.8% NaCl, 15% DMSO; virus vehicle is 0.9% NaCl), or high-titer AAVs (∼1013 GC/ml) were injected (2 μl per mouse) into the right lateral ventricle (coordinates from bregma: x, −0.58 mm; y, +1.28 mm; z, −2 mm) with a 10 μl Hamilton syringe (0.2 μl/min). For protein infusion (3.5 μg per mouse), sAPPα (Sigma-Aldrich), sAPPβ (Sigma-Aldrich), or vehicle were infused for either 7 or 15 d with 100 μl osmotic mini-pumps (Alzet) implanted at the same stereotaxic coordinates as above.

Reversal learning

Spatial memory was assessed by the Morris water maze test (D’Hooge & De Deyn, 2001) in which mice use visual cues to locate an escape platform (9 cm in diameter) in an open circular swimming arena (150 cm in diameter, 40 cm deep) filled with opaque water (Acusol, 20°C ± 1°C). The escape platform was hidden 1 cm below the water surface. Room temperature was kept constant at 24°C and both arena placement and surrounding visual cues were kept fixed during all experiments. Data were acquired by the SMART recording system and tracking software (Panlab). Data processing was automated with NAT (Navigation Analysis Tool), an in-house tool rooted in MATLAB (Jarlier et al, 2013). Mice underwent a two-phase training protocol (Fig 4E). The first phase consisted of five training days, 1 d of rest followed by probe test 1 (initial learning). For the second phase, the platform was moved to a different quadrant, and again training lasted 5 d followed by 1 d of rest before probe test 2 (reversal learning). Training sessions consisted of four daily swimming trials (1 h interval between trials) starting randomly from different positions, with each quadrant sampled once per day. For each trial, mice were released at a starting point facing the inner wall and given a maximum of 90 s to locate and climb onto the escape platform. Mice that failed to locate the platform within 90 s were guided to it. In either case, mice were allowed to stay on the platform for 30 s. To assess spatial memory, probe tests were performed 24 h after the last training session by tracking mice for 60 s with the platform absent. Measured parameters during the training phases were the average time taken to reach the platform (i.e., mean escape latency) and the average speed. Measured parameters during probe tests were the mean distance traveled by the mouse before arriving at the platform location, % time spent in the target quadrant, and the number of platform location crossings.

Electrophysiology

Acute transverse hippocampal slices (400 μm) were prepared as previously described (Pannasch et al, 2014). Briefly, mice were culled by cervical dislocation and decapitation. Brains were rapidly removed and placed in chilled (1°C–4°C) artificial cerebrospinal fluid (aCSF) composed of (in mM) 119 NaCl, 2.5 KCl, 0.5 CaCl2, 1.3 MgSO4, 1 NaH2PO4, 26.2 NaHCO3, and 11 glucose. After sectioning, hippocampal slices were maintained at room temperature in a storage chamber containing aCSF saturated with 95% O2 and 5% CO2 for at least 1 h before the experiments. Slices were then transferred to a submerged recording chamber mounted on a Scientifica SliceScope Pro 6000 microscope equipped for infrared-differential interference (IR-DIC) microscopy and were perfused with aCSF (2 ml/min) at RT. All experiments were performed in CA1 stratum radiatum region of the hippocampus. Field excitatory postsynaptic potentials (fEPSPs) were recorded with glass pipettes (2–5 MΩ) filled with 1 M NaCl. Postsynaptic responses were evoked by stimulating Schaffer collaterals (0.033 Hz) in CA1 stratum radiatum with aCSF-filled glass pipettes. Input/output relationships of evoked excitatory postsynaptic potentials (EPSPs) were assayed by incrementing stimulation strength (5–50 μA, 100 µs). The test-shock used in subsequent experiments was chosen to elicit 50% of the maximal slope. Paired-pulse experiments consisted of two identical stimuli with increasing inter-pulse intervals (50–250 ms). Paired-pulse ratios were generated by plotting the maximum slope of the second fEPSP as a percentage of the first. LTP was induced by high-frequency stimulation (HFS: 2 trains of 100 pulses at 100 Hz, 30 s inter-train interval).

PCR and Western blots

Mice were anesthetized for intracardiac perfusion with PBS. Subsequently, choroid plexus and hippocampus samples were extracted in ice-cold PBS, frozen on dry ice, and stored at −20°C. Genomic DNA, total RNA, and proteins were recovered by using the Allprep DNA/RNA/Protein Mini Kit (80004; QIAGEN). The efficiency of Cre-induced recombination in Appflox/flox mice was verified by PCR with primers F, C, and D previously described (Mallm et al, 2010). For quantitative RT-PCR, cDNA was synthetized from 13 ng total RNA with QuantiTect Reverse Transcription Kit (205313; QIAGEN). Quantitative PCR reactions were carried out in triplicate with SYBR Green I Master Mix (S-7563; Roche) on a LightCycler 480 system (Roche). Expression was calculated by using the 2−ΔΔCt method with Gapdh as a reference. We decided that Gapdh was an appropriate choice after finding no significant change in ΔCt between Gapdh and Hprt in the Cre-Tat and vehicle icv injected Appflox/flox mice (ΔCtHprt-Gapdh: ChPl, vehicle 3.85 ± 0.04, Cre-Tat 3.81 ± 0.05; hippocampus, vehicle 4.90 ± 0.11, Cre-Tat 4.70 ± 0.17). For Western blot analysis, proteins samples were separated on NuPAGE 4–12% Bis–Tris pre-cast gels (NP0321; Invitrogen) at 200 V for 1 h and transferred onto a methanol-activated polyvinylidene difluoride membrane at 400 mV for 1 h. Primary antibody anti-APP (22C11 mouse 1:500; Millipore MAB348 or [Y188] rabbit 1:1,000; Abcam ab32136) was incubated overnight at 4°C and anti-mouse– or anti-rabbit HRP–coupled secondary antibody (1:3,000; Life Technologies) was incubated for 1.5 h at RT. Signal was detected by SuperSignal West Femto Substrate (34095; Thermo Fisher Scientific) with a LAS-4000 gel imager (Fujifilm) and quantified by densitometry with ImageJ.

Histology

Mice were anesthetized for intracardiac perfusion with PBS, and brains were subsequently removed and fixed in 4% paraformaldehyde for 3 d. Coronal sections (60 μm) were obtained by Vibratome (Microm). For immunostaining, floating sections were steamed 10 min in citrate buffer (10 mM sodium citrate pH 6.0, 0.05% Tween), washed in PBS and treated with blocking solution (PBS pH 7, 1% Triton X-100, 5% normal goat serum) for 1 h. Primary antibody anti-Ki67 (SP6 rabbit 1:500, ab16667; Abcam) was incubated overnight at 4°C in blocking solution and biotinylated anti-rabbit IgG secondary antibody (1:3,000, BA-1000; Vector Laboratories) at RT for 1 h. Staining was visualized by using the Vectastain ABC HRP kit (PK-6100; Vector Laboratories) with the DAB Peroxidase (HRP) Substrate Kit (SK-4100; Vector Laboratories). Ki67-positive cells were counted manually in the DG on five sections per mouse (sections 180 µm apart, n = 5–8 mice per group). Cells in SVZ were counted by StereoInvestigator (Stereology Software, MBF Bioscience) on eight sections per mouse (sections 180 µm apart, n = 5–8 mice per group).

Statistical analysis

Morris water maze training data (escape latency and speed) were analyzed with two-way repeated-measures ANOVA with Statview 5.0.1 (SAS). Probe test data were analyzed for normality (D’Agostino & Pearson omnibus normality test) and unpaired t test was used for group comparisons with Statview 5.0.1 (SAS). Electrophysiological data were analyzed by ANOVA with Statistica 6.1 and Statview 5.0.1. Histological and biochemical data were analyzed by unpaired t test or ANOVA (as described in Figure legends) with Prism v6 (GraphPad). All data are given as mean ± SD, except for Figs 5 and S2 in which mean ± SEM was used.

Supplementary Material

Reviewer comments
LSA-2020-00703_review_history.pdf (243.9KB, pdf)

Acknowledgements

The authors thank Julien Schmitt for technical support. Funding was provided by European Research Council Advanced Grant HOMEOSIGN no 339379 (to A Prochiantz) and by ANR-10-LABX-BioPsy (to L Rondi-Reig).

Author Contributions

  • K Arnaud: conceptualization, data curation, formal analysis, investigation, and writing—review and editing.

  • V Oliveira Moreira: conceptualization, data curation, formal analysis, investigation, and writing—review and editing.

  • J Vincent: formal analysis and investigation.

  • G Dallerac: formal analysis, validation, and methodology.

  • C Dubreuil: investigation.

  • E Dupont: investigation.

  • M Richter: resources.

  • UC Müller: resources and writing—review and editing.

  • L Rondi-Reig: formal analysis, validation, and methodology.

  • A Prochiantz: conceptualization, resources, formal analysis, funding acquisition, validation, methodology, and writing—review and editing.

  • AA Di Nardo: conceptualization, resources, data curation, formal analysis, validation, investigation, methodology, and writing—original draft, review, and editing.

Conflict of Interest Statement

A Prochiantz is a cofounder of BrainEver SAS; other authors report no biomedical financial interests or potential conflicts of interest.

References

  1. Arber C, Lovejoy C, Harris L, Willumsen N, Alatza A, Casey JM, Lines G, Kerins C, Mueller AK, Zetterberg H, et al. (2021) Familial Alzheimer’s disease mutations in PSEN1 lead to premature human stem cell neurogenesis. Cell Rep 34: 108615. 10.1016/j.celrep.2020.108615 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Balusu S, Brkic M, Libert C, Vandenbroucke RE (2016) The choroid plexus-cerebrospinal fluid interface in Alzheimer’s disease: More than just a barrier. Neural Regen Res 11: 534–537. 10.4103/1673-5374.180372 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Baratchi S, Evans J, Tate WP, Abraham WC, Connor B (2012) Secreted amyloid precursor proteins promote proliferation and glial differentiation of adult hippocampal neural progenitor cells. Hippocampus 22: 1517–1527. 10.1002/hipo.20988 [DOI] [PubMed] [Google Scholar]
  4. Baruch K, Deczkowska A, David E, Castellano JM, Miller O, Kertser A, Berkutzki T, Barnett-Itzhaki Z, Bezalel D, Wyss-Coray T, et al. (2014) Aging. Aging-induced type I interferon response at the choroid plexus negatively affects brain function. Science 346: 89–93. 10.1126/science.1252945 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bjornsson CS, Apostolopoulou M, Tian Y, Temple S (2015) It takes a village: Constructing the neurogenic niche. Dev Cell 32: 435–446. 10.1016/j.devcel.2015.01.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Caillé I, Allinquant B, Dupont E, Bouillot C, Langer A, Müller U, Prochiantz A (2004) Soluble form of amyloid precursor protein regulates proliferation of progenitors in the adult subventricular zone. Development 131: 2173–2181. 10.1242/dev.01103 [DOI] [PubMed] [Google Scholar]
  7. Choi SH, Bylykbashi E, Chatila ZK, Lee SW, Pulli B, Clemenson GD, Kim E, Rompala A, Oram MK, Asselin C, et al. (2018) Combined adult neurogenesis and BDNF mimic exercise effects on cognition in an Alzheimer’s mouse model. Science 361: eaan8821. 10.1126/science.aan8821 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Choi SH, Tanzi RE (2019) Is Alzheimer’s disease a neurogenesis disorder? Cell Stem Cell 25: 7–8. 10.1016/j.stem.2019.06.001 [DOI] [PubMed] [Google Scholar]
  9. Codega P, Silva-Vargas V, Paul A, Maldonado-Soto AR, DeLeo AM, Pastrana E, Doetsch F (2014) Prospective identification and purification of quiescent adult neural stem cells from their in vivo niche. Neuron 82: 545–559. 10.1016/j.neuron.2014.02.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. D’Hooge R, De Deyn PP (2001) Applications of the Morris water maze in the study of learning and memory. Brain Res Rev 36: 60–90. 10.1016/s0165-0173(01)00067-4 [DOI] [PubMed] [Google Scholar]
  11. Deane R, Sagare A, Hamm K, Parisi M, Lane S, Finn MB, Holtzman DM, Zlokovic BV (2008) apoE isoform-specific disruption of amyloid beta peptide clearance from mouse brain. J Clin Invest 118: 4002–4013. 10.1172/JCI36663 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Demars M, Hu YS, Gadadhar A, Lazarov O (2010) Impaired neurogenesis is an early event in the etiology of familial Alzheimer’s disease in transgenic mice. J Neurosci Res 88: 2103–2117. 10.1002/jnr.22387 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Demars MP, Bartholomew A, Strakova Z, Lazarov O (2011) Soluble amyloid precursor protein: A novel proliferation factor of adult progenitor cells of ectodermal and mesodermal origin. Stem Cell Res Ther 2: 36. 10.1186/scrt77 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Demars MP, Hollands C, Zhao KDT, Lazarov O (2013) Soluble amyloid precursor protein-α rescues age-linked decline in neural progenitor cell proliferation. Neurobiol Aging 34: 2431–2440. 10.1016/j.neurobiolaging.2013.04.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Donovan MH, Yazdani U, Norris RD, Games D, German DC, Eisch AJ (2006) Decreased adult hippocampal neurogenesis in the PDAPP mouse model of Alzheimer’s disease. J Comp Neurol 495: 70–83. 10.1002/cne.20840 [DOI] [PubMed] [Google Scholar]
  16. Encinas JM, Michurina TV, Peunova N, Park JH, Tordo J, Peterson DA, Fishell G, Koulakov A, Enikolopov G (2011) Division-coupled astrocytic differentiation and age-related depletion of neural stem cells in the adult Hippocampus. Cell Stem Cell 8: 566–579. 10.1016/j.stem.2011.03.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Falcão AM, Marques F, Novais A, Sousa N, Palha JA, Sousa JC (2012) The path from the choroid plexus to the subventricular zone: Go with the flow!. Front Cell Neurosci 6: 34. 10.3389/fncel.2012.00034 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Fol R, Braudeau J, Ludewig S, Abel T, Weyer SW, Roederer JP, Brod F, Audrain M, Bemelmans AP, Buchholz CJ, et al. (2016) Viral gene transfer of APPsα rescues synaptic failure in an Alzheimer’s disease mouse model. Acta Neuropathol 131: 247–266. 10.1007/s00401-015-1498-9 [DOI] [PubMed] [Google Scholar]
  19. Ghersi-Egea JF, Strazielle N, Catala M, Silva-Vargas V, Doetsch F, Engelhardt B (2018) Molecular anatomy and functions of the choroidal blood-cerebrospinal fluid barrier in health and disease. Acta Neuropathol 135: 337–361. 10.1007/s00401-018-1807-1 [DOI] [PubMed] [Google Scholar]
  20. Gonçalves JT, Schafer ST, Gage FH (2016) Adult neurogenesis in the Hippocampus: From stem cells to behavior. Cell 167: 897–914. 10.1016/j.cell.2016.10.021 [DOI] [PubMed] [Google Scholar]
  21. Hamilton LK, Aumont A, Julien C, Vadnais A, Calon F, Fernandes KJ (2010) Widespread deficits in adult neurogenesis precede plaque and tangle formation in the 3xTg mouse model of Alzheimer’s disease. Eur J Neurosci 32: 905–920. 10.1111/j.1460-9568.2010.07379.x [DOI] [PubMed] [Google Scholar]
  22. Hamilton LK, Joppé SE, M Cochard L, Fernandes KJ (2013) Aging and neurogenesis in the adult forebrain: What we have learned and where we should go from here. Eur J Neurosci 37: 1978–1986. 10.1111/ejn.12207 [DOI] [PubMed] [Google Scholar]
  23. Haughey NJ, Liu D, Nath A, Borchard AC, Mattson MP (2002. a) Disruption of neurogenesis in the subventricular zone of adult mice, and in human cortical neuronal precursor cells in culture, by amyloid beta-peptide: Implications for the pathogenesis of Alzheimer’s disease. NeuroMolecular Med 1: 125–135. 10.1385/NMM:1:2:125 [DOI] [PubMed] [Google Scholar]
  24. Haughey NJ, Nath A, Chan SL, Borchard AC, Rao MS, Mattson MP (2002. b) Disruption of neurogenesis by amyloid beta-peptide, and perturbed neural progenitor cell homeostasis, in models of Alzheimer’s disease. J Neurochem 83: 1509–1524. 10.1046/j.1471-4159.2002.01267.x [DOI] [PubMed] [Google Scholar]
  25. Henstridge CM, Hyman BT, Spires-Jones TL (2019) Beyond the neuron-cellular interactions early in Alzheimer disease pathogenesis. Nat Rev Neurosci 20: 94–108. 10.1038/s41583-018-0113-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Hick M, Herrmann U, Weyer SW, Mallm JP, Tschäpe JA, Borgers M, Mercken M, Roth FC, Draguhn A, Slomianka L, et al. (2015) Erratum to: Acute function of secreted amyloid precursor protein fragment APPsα in synaptic plasticity. Acta Neuropathol 129: 161–162. 10.1007/s00401-014-1374-z [DOI] [PubMed] [Google Scholar]
  27. Jarlier F, Arleo A, Petit GH, Lefort JM, Fouquet C, Burguière E, Rondi-Reig L (2013) A Navigation Analysis Tool (NAT) to assess spatial behavior in open-field and structured mazes. J Neurosci Methods 215: 196–209. 10.1016/j.jneumeth.2013.02.018 [DOI] [PubMed] [Google Scholar]
  28. Lazarov O, Hollands C (2016) Hippocampal neurogenesis: Learning to remember. Prog Neurobiol 138-140: 1–18. 10.1016/j.pneurobio.2015.12.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Lazarov O, Mattson MP, Peterson DA, Pimplikar SW, van Praag H (2010) When neurogenesis encounters aging and disease. Trends Neurosci 33: 569–579. 10.1016/j.tins.2010.09.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Lehtinen MK, Zappaterra MW, Chen X, Yang YJ, Hill AD, Lun M, Maynard T, Gonzalez D, Kim S, Ye P, et al. (2011) The cerebrospinal fluid provides a proliferative niche for neural progenitor cells. Neuron 69: 893–905. 10.1016/j.neuron.2011.01.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Li Q, Navakkode S, Rothkegel M, Soong TW, Sajikumar S, Korte M (2017) Metaplasticity mechanisms restore plasticity and associativity in an animal model of Alzheimer’s disease. Proc Natl Acad Sci U S A 114: 5527–5532. 10.1073/pnas.1613700114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Liu F, Xue ZQ, Deng SH, Kun X, Luo XG, Patrylo PR, Rose GM, Cai H, Struble RG, Cai Y, et al. (2013) γ-Secretase binding sites in aged and Alzheimer’s disease human cerebrum: The choroid plexus as a putative origin of CSF Aβ. Eur J Neurosci 37: 1714–1725. 10.1111/ejn.12159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Mallm JP, Tschäpe JA, Hick M, Filippov MA, Müller UC (2010) Generation of conditional null alleles for APP and APLP2. Genesis 48: 200–206. 10.1002/dvg.20601 [DOI] [PubMed] [Google Scholar]
  34. Milosch N, Tanriöver G, Kundu A, Rami A, François JC, Baumkötter F, Weyer SW, Samanta A, Jäschke A, Brod F, et al. (2014) Holo-APP and G-protein-mediated signaling are required for sAPPα-induced activation of the Akt survival pathway. Cell Death Dis 5: e1391. 10.1038/cddis.2014.352 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Mockett BG, Guévremont D, Elder MK, Parfitt KD, Peppercorn K, Morrissey J, Singh A, Hintz TJ, Kochen L, Tom Dieck S, et al. (2019) Glutamate receptor trafficking and protein synthesis mediate the facilitation of LTP by secreted amyloid precursor protein-alpha. J Neurosci 39: 3188–3203. 10.1523/JNEUROSCI.1826-18.2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Molinuevo JL, Ayton S, Batrla R, Bednar MM, Bittner T, Cummings J, Fagan AM, Hampel H, Mielke MM, Mikulskis A, et al. (2018) Current state of Alzheimer’s fluid biomarkers. Acta Neuropathol 136: 821–853. 10.1007/s00401-018-1932-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Moreno-Jiménez EP, Flor-García M, Terreros-Roncal J, Rábano A, Cafini F, Pallas-Bazarra N, Ávila J, Llorens-Martín M (2019) Adult hippocampal neurogenesis is abundant in neurologically healthy subjects and drops sharply in patients with Alzheimer’s disease. Nat Med 25: 554–560. 10.1038/s41591-019-0375-9 [DOI] [PubMed] [Google Scholar]
  38. Morrissey JA, Mockett BG, Singh A, Kweon D, Ohline SM, Tate WP, Hughes SM, Abraham WC (2019) A C-terminal peptide from secreted amyloid precursor protein-α enhances long-term potentiation in rats and a transgenic mouse model of Alzheimer’s disease. Neuropharmacology 157: 107670. 10.1016/j.neuropharm.2019.107670 [DOI] [PubMed] [Google Scholar]
  39. Mu Y, Gage FH (2011) Adult hippocampal neurogenesis and its role in Alzheimer’s disease. Mol Neurodegener 6: 85. 10.1186/1750-1326-6-85 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Müller UC, Deller T, Korte M (2017) Not just amyloid: Physiological functions of the amyloid precursor protein family. Nat Rev Neurosci 18: 281–298. 10.1038/nrn.2017.29 [DOI] [PubMed] [Google Scholar]
  41. Palmqvist S, Insel PS, Stomrud E, Janelidze S, Zetterberg H, Brix B, Eichenlaub U, Dage JL, Chai X, Blennow K, et al. (2019) Cerebrospinal fluid and plasma biomarker trajectories with increasing amyloid deposition in Alzheimer’s disease. EMBO Mol Med 11: e11170. 10.15252/emmm.201911170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Pannasch U, Freche D, Dallérac G, Ghézali G, Escartin C, Ezan P, Cohen-Salmon M, Benchenane K, Abudara V, Dufour A, et al. (2014) Connexin 30 sets synaptic strength by controlling astroglial synapse invasion. Nat Neurosci 17: 549–558. 10.1038/nn.3662 [DOI] [PubMed] [Google Scholar]
  43. Paredes MF, Sorrells SF, Cebrian-Silla A, Sandoval K, Qi D, Kelley KW, James D, Mayer S, Chang J, Auguste KI, et al. (2018) Does adult neurogenesis persist in the human Hippocampus? Cell Stem Cell 23: 780–781. 10.1016/j.stem.2018.11.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Perneczky R, Alexopoulos P, Kurz A (2014) Soluble amyloid precursor proteins and secretases as Alzheimer’s disease biomarkers. Trends Mol Med 20: 8–15. 10.1016/j.molmed.2013.10.001 [DOI] [PubMed] [Google Scholar]
  45. Planques A, Moreira VO, Benacom D, Bernard C, Jourdren L, Blugeon C, Dingli F, Masson V, Loew D, Prochiantz A, et al. (2021) OTX2 homeoprotein functions in adult choroid plexus. Int J Mol Sci 22: 8951. 10.3390/ijms22168951 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Planques A, Oliveira Moreira V, Dubreuil C, Prochiantz A, Di Nardo AA (2019) OTX2 signals from the choroid plexus to regulate adult neurogenesis. eNeuro 6: ENEURO.0262-18.2019. 10.1523/ENEURO.0262-18.2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Van Praag H, Christie BR, Sejnowski TJ, Gage FH (1999) Running enhances neurogenesis, learning, and long-term potentiation in mice. Proc Natl Acad Sci U S A 96: 13427–13431. 10.1073/pnas.96.23.13427 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Rice HC, De Malmazet D, Schreurs A, Frere S, Van Molle I, Volkov AN, Creemers E, Vertkin I, Nys J, Ranaivoson FM, et al. (2019) Secreted amyloid-β precursor protein functions as a GABABR1a ligand to modulate synaptic transmission. Science 363: 363eaao4827. 10.1126/science.aao4827 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Richter MC, Ludewig S, Winschel A, Abel T, Bold C, Salzburger LR, Klein S, Han K, Weyer SW, Fritz AK, et al. (2018) Distinct in vivo roles of secreted APP ectodomain variants APPsα and APPsβ in regulation of spine density, synaptic plasticity, and cognition. EMBO J 37: e98335. 10.15252/embj.201798335 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Rodríguez JJ, Verkhratsky A (2011) Neurogenesis in Alzheimer’s disease. J Anat 219: 78–89. 10.1111/j.1469-7580.2011.01343.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Serot JM, Béné MC, Foliguet B, Faure GC (2000) Morphological alterations of the choroid plexus in late-onset Alzheimer’s disease. Acta Neuropathol 99: 105–108. 10.1007/pl00007412 [DOI] [PubMed] [Google Scholar]
  52. Serot JM, Foliguet B, Béné MC, Faure GC (2001) Choroid plexus and ageing in rats: A morphometric and ultrastructural study. Eur J Neurosci 14: 794–798. 10.1046/j.0953-816x.2001.01693.x [DOI] [PubMed] [Google Scholar]
  53. Serot JM, Zmudka J, Jouanny P (2012) A possible role for CSF turnover and choroid plexus in the pathogenesis of late onset Alzheimer’s disease. J Alzheimers Dis 30: 17–26. 10.3233/JAD-2012-111964 [DOI] [PubMed] [Google Scholar]
  54. Silva-Vargas V, Crouch EE, Doetsch F (2013) Adult neural stem cells and their niche: A dynamic duo during homeostasis, regeneration, and aging. Curr Opin Neurobiol 23: 935–942. 10.1016/j.conb.2013.09.004 [DOI] [PubMed] [Google Scholar]
  55. Silva-Vargas V, Maldonado-Soto AR, Mizrak D, Codega P, Doetsch F (2016) Age-dependent niche signals from the choroid plexus regulate adult neural stem cells. Cell Stem Cell 19: 643–652. 10.1016/j.stem.2016.06.013 [DOI] [PubMed] [Google Scholar]
  56. Sorrells SF, Paredes MF, Cebrian-Silla A, Sandoval K, Qi D, Kelley KW, James D, Mayer S, Chang J, Auguste KI, et al. (2018) Human hippocampal neurogenesis drops sharply in children to undetectable levels in adults. Nature 555: 377–381. 10.1038/nature25975 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Sousa JC, Cardoso I, Marques F, Saraiva MJ, Palha JA (2007) Transthyretin and Alzheimer’s disease: Where in the brain? Neurobiol Aging 28: 713–718. 10.1016/j.neurobiolaging.2006.03.015 [DOI] [PubMed] [Google Scholar]
  58. Spatazza J, Lee HH, Di Nardo AA, Tibaldi L, Joliot A, Hensch TK, Prochiantz A (2013) Choroid-plexus-derived Otx2 homeoprotein constrains adult cortical plasticity. Cell Rep 3: 1815–1823. 10.1016/j.celrep.2013.05.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Suberbielle E, Sanchez PE, Kravitz AV, Wang X, Ho K, Eilertson K, Devidze N, Kreitzer AC, Mucke L (2013) Physiologic brain activity causes DNA double-strand breaks in neurons, with exacerbation by amyloid-β. Nat Neurosci 16: 613–621. 10.1038/nn.3356 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Tan VTY, Mockett BG, Ohline SM, Parfitt KD, Wicky HE, Peppercorn K, Schoderboeck L, Yahaya MFB, Tate WP, Hughes SM, et al. (2018) Lentivirus-mediated expression of human secreted amyloid precursor protein-alpha prevents development of memory and plasticity deficits in a mouse model of Alzheimer’s disease. Mol Brain 11: 7. 10.1186/s13041-018-0348-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Tartt AN, Fulmore CA, Liu Y, Rosoklija GB, Dwork AJ, Arango V, Hen R, Mann JJ, Boldrini M (2018) Considerations for assessing the extent of hippocampal neurogenesis in the adult and aging human brain. Cell Stem Cell 23: 782–783. 10.1016/j.stem.2018.10.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Tobin MK, Musaraca K, Disouky A, Shetti A, Bheri A, Honer WG, Kim N, Dawe RJ, Bennett DA, Arfanakis K, et al. (2019) Human hippocampal neurogenesis persists in aged adults and Alzheimer’s disease patients. Cell Stem Cell 24: 974–982.e3. 10.1016/j.stem.2019.05.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Toda T, Parylak SL, Linker SB, Gage FH (2019) The role of adult hippocampal neurogenesis in brain health and disease. Mol Psychiatry 24: 67–87. 10.1038/s41380-018-0036-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Wang B, Wang Z, Sun L, Yang L, Li H, Cole AL, Rodriguez-Rivera J, Lu HC, Zheng H (2014) The amyloid precursor protein controls adult hippocampal neurogenesis through GABAergic interneurons. J Neurosci 34: 13314–13325. 10.1523/JNEUROSCI.2848-14.2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Watson DJ, Passini MA, Wolfe JH (2005) Transduction of the choroid plexus and ependyma in neonatal mouse brain by vesicular stomatitis virus glycoprotein-pseudotyped lentivirus and adeno-associated virus type 5 vectors. Hum Gene Ther 16: 49–56. 10.1089/hum.2005.16.49 [DOI] [PubMed] [Google Scholar]
  66. Winner B, Winkler J (2015) Adult neurogenesis in neurodegenerative diseases. Cold Spring Harb Perspect Biol 7: a021287. 10.1101/cshperspect.a021287 [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Xiong M, Jones OD, Peppercorn K, Ohline SM, Tate WP, Abraham WC (2017) Secreted amyloid precursor protein-alpha can restore novel object location memory and hippocampal LTP in aged rats. Neurobiol Learn Mem 138: 291–299. 10.1016/j.nlm.2016.08.002 [DOI] [PubMed] [Google Scholar]
  68. Zeng Q, Zheng M, Zhang T, He G (2016) Hippocampal neurogenesis in the APP/PS1/nestin-GFP triple transgenic mouse model of Alzheimer’s disease. Neuroscience 314: 64–74. 10.1016/j.neuroscience.2015.11.054 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Reviewer comments
LSA-2020-00703_review_history.pdf (243.9KB, pdf)

Articles from Life Science Alliance are provided here courtesy of Life Science Alliance LLC

RESOURCES