Abstract
Cerebrovascular abnormalities have emerged as a preclinical manifestation of Alzheimer’s disease and frontotemporal dementia, diseases characterized by accumulation of hyperphosphorylated forms of the microtubule associated protein tau. However, it is unclear if tau contributes to these neurovascular alterations independent of neurodegeneration. We report that mice expressing mutated tau exhibit a selective suppression of neural activity-induced cerebral blood flow increases that precedes tau pathology and cognitive impairment. The dysfunction is attributable to reduced vasodilatation of intracerebral arterioles and is reversible by turning down tau production. Mechanistically, the failure of neurovascular coupling involves tau-induced dissociation of neuronal nitric oxide synthase from post synaptic-density-95 and reduced production of the potent vasodilator nitric oxide during glutamatergic synaptic activity. The data identify glutamatergic signaling dysfunction and nitric oxide deficiency as yet-undescribed early manifestations of tau pathobiology independent of neurodegeneration, and provide a mechanism for the neurovascular alterations observed in the preclinical stages of tauopathies.
Keywords: Alzheimer’s disease, frontotemporal dementia, 2-photon microscopy, neurovascular unit, neurodegeneration, post-synaptic density
Alzheimer’s disease (AD) is the major cause of age-related cognitive impairment for which there are no disease-modifying treatments at the present 1. The failure of clinical trials targeting the amyloid-β peptide (Aβ), a key pathogenic factor in AD, has emphasized the urgent need to pursue alternative features of AD pathology 2, 3. Cerebrovascular dysfunction has recently emerged as an early manifestation of AD with a major impact on the evolution and clinical expression of the dementia 4-7. But, most studies have focused on Aβ and little is known on the cerebrovascular effects of “pathological” species of tau (p-tau) 8, the other major culprit in AD 9. Cerebrovascular alterations have also been described in neurodegenerative diseases, such as frontotemporal dementia (FTD) 10-12, characterized by p-tau accumulation without Aβ, raising the possibility that neurovascular dysfunction is an early pathogenic contributor to the disease process.
Since the brain lacks energy reserves, a vital role of the cerebrovascular network is to supply oxygen- and glucose-rich blood to active brain regions commensurate with their energy expenditures. This phenomenon, termed functional hyperemia or neurovascular coupling, matches the local delivery of cerebral blood flow (CBF) with the dynamic energy needs of the brain 8. Disruption of neurovascular coupling may deprive brain cells of the needed energy substrates and, in the long run, lead to neuronal dysfunction and cognitive impairment 13, 14. Glutamatergic synaptic activity initiates functional hyperemia by triggering nitric oxide (NO) production from neuronal NO synthase (nNOS), an enzyme linked to the NMDA receptor (NMDAR) complex through the scaffolding protein PSD95 15-17. In turn, NO, a potent vasodilator, acts on local microvessels to evoke the increase in flow 18-20. Cerebrovascular alterations and synaptic dysfunction have been described in mouse models of human tauopathies, but most studies examined advanced stages of tau pathology 21-23. Therefore, these alterations could be secondary to neurodegeneration rather than a driver of pathology. Furthermore, it is not known if p-tau, which is present at the PSD and may bind PSD components 23, 24, interferes with nNOS signaling to disrupt neurovascular coupling and, if so, whether such disruption precedes neuronal loss and cognitive dysfunction.
Here we examined the impact of p-tau on neurovascular function in mouse tauopathy models. We found that p-tau induces a profound and selective suppression of functional hyperemia that precedes neuronal loss and behavioral dysfunction. The effect was mediated by dampening neuronal NO production during NMDAR activation, resulting in impaired relaxation of the neocortical arterioles initiating the CBF increase. Co-immunoprecipitation studies indicated that p-tau disrupts the association between PSD95 and nNOS, and uncouples NMDAR activity from neuronal NO production. The findings unveil a previously-unappreciated harmful effect of p-tau on NMDAR signaling and neurovascular function in the presymptomatic stage of tau pathology, and raise the possibility that suppression of functional hyperemia and loss of other beneficial effects of NO may contribute to the cerebrovascular and brain dysfunction in tauopathies, such as AD and FTD.
Results
Tau disrupts neurovascular coupling prior to tangles and neurodegeneration
We used PS19 mice expressing mutated human tau (P301S) 25 to investigate the impact of p-tau on cerebrovascular structure and function. In some studies, we also used rTg4510 mice expressing the P301L tau mutation 26 to verify the results in another tauopathy model and, since tau expression in rTg4510 mice is regulatable, to determine if the neurovascular phenotype is rescuable by suppressing tau expression. All mice were studied at 2-3 months of age to assess whether neurovascular dysfunction precedes the development of full-blown tau pathology, neurodegeneration and cognitive impairment 26-28. Age-matched littermates served as wild type (WT) controls. At this age, PS19 mice showed a small reduction in resting cerebrocortical and hippocampal CBF, assessed quantitatively by ASL-MRI, whereas rTg4510 mice and their littermates, including WT mice or mice expressing only transactivator (TA) or human tau, exhibited no change (Fig. 1A; Extended data Fig. 1A-D). Neocortical thickness and hippocampal volume were not reduced both in PS19 and rTg4510 mice (Fig. 1B; Extended data Fig. 1A-D). Furthermore, although tau was phosphorylated at the AT8 site and displaced to somatodendritic compartments, no neurofibrillary tangles (thioflavin-S), neuronal loss (NeuN), or microvascular damage was observed (Fig. 1C; Extended data Figs. 2A-I, 3A, 4A-C). Microglia/macrophages (Iba1) were not increased, but enhanced astrogliosis (GFAP) was found in rTg4510 mice (Extended data Fig. 3B,C). Consistent with the lack of tau pathology and neurodegeneration and with previous reports 25, 26, no dysfunction was observed at the Barnes maze, novel object recognition or the Y-maze test (Fig. 1D-F), and no changes in locomotor activity were observed in both models (Extended data Fig. 5A).
We then examined neurovascular function in anesthetized mice equipped with a cranial window, in which CBF was monitored by laser-Doppler flowmetry (CBF-LDF) with controlled blood pressure and blood gases 20. We found that the increases in CBF-LDF induced in the whisker barrel cortex by mechanical stimulation of the facial whiskers were markedly attenuated in PS19 mice (Fig. 1G). The attenuation observed under urethane-chloralose anesthesia (Fig. 1G) was also observed with isoflurane anesthesia (Extended data Fig. 5B). Surprisingly, the increase in CBF-LDF produced by bathing the cranial window with acetylcholine, bradykinin or the Ca2+ ionophore A23187, responses mediated by the release of vasoactive agents from cerebral endothelial cells 29, were not attenuated (Fig. 1H; Extended data Fig. 5C). Similarly, CBF-LDF increases evoked by agonists acting on vascular smooth muscles [adenosine or the NO donor S-Nitroso-N-acetyl-DL-penicillamine (SNAP)], or by hypercapnia, a powerful vasoactive stimulus in the cerebral circulation 30-32, were not affected (Extended data Fig. 5C), attesting to the integrity of the vasomotor apparatus. Identical results were obtained in rTg4510 mice (Fig. 1G,H; Extended data Fig. 5C).
Since tau is quickly internalized by neurons 33, we investigated if exogenous tau would reproduce the neurovascular effects observed in tau mice. We found that recombinant full-length WT (0.1-5μM) or mutant tau (P301L; 0.1-5μM) applied directly to the whisker barrel cortex of WT mice elicited neurovascular coupling dysfunction, but did not alter resting CBF-LDF or responses to acetylcholine and adenosine, mimicking the cerebrovascular phenotype of tau mice (Fig. 1I; Extended data Fig. 5D). Although the minimal effective concentration of tau applied to the neocortex (100-200nM) is higher than that estimated by microdialysis in the extracellular space of tauopathy models (3-4nM) 34, the concentration reaching the brain substance is likely to be significantly lower due to the diffusion gradient, oligomerization and pial membrane diffusion barriers 35, 36. These observations establish that tau overexpression disrupts neurovascular coupling selectively, prior to the appearance of neurofibrillary tangles, neurodegeneration, neurovascular damage or cognitive impairment.
The suppression of neurovascular coupling in tau mice results from impaired vasodilatation of intracerebral arterioles
Next, we investigated the microvascular bases of the suppression in functional hyperemia in tau mice. Functional hyperemia involves activity-induced dilatation of intracerebral microvessels followed by relaxation of upstream pial arterioles feeding the activated area 8. The former is initiated by neurally-derived mediators including NO, and the latter by retrograde propagation of vasodilation via intramural vascular signaling 8, 19, 37, 38. To define the microvascular changes responsible for the suppression of the hyperemic response we first used laser-speckle imaging (LSI) to pinpoint the neocortical site of maximal hyperemia and to identify the feeding pial arterioles (Fig. 2A). Then, we used two-photon microscopy (2PM) in the same mice to reconstruct the microvascular network supplying the activated area and assess the changes in vascular diameter induced by whisker stimulation in WT and tau mice (Fig. 2A). In WT mice whisker stimulation increased CBF-LSI in the activated whisker barrel cortex, which remained stable throughout the stimulation period (45 sec) (Fig. 2B top, shaded area). 2PM analysis revealed sustained increases in vascular diameter which were faster and larger in 1st, 2nd and 3rd order branches than in upstream parent pial arterioles feeding the activated area (Fig. 2B, top tracings; Fig. 2C, top). In PS19 mice, average CBF-LSI increases were blunted and were not sustained throughout the stimulation period (Fig. 2B bottom, shaded area; Fig. 2D). 2PM analysis did not reveal differences in the baseline diameter of the arteriolar network (Fig. 2C bottom), but the vasodilatation induced by whisker stimulation was suppressed in 1st, 2nd and 3rd order branches, with no significant reductions in upstream pial arterioles (Fig. 2B bottom; Fig. 2C top). However, while the time for the CBF response to reach 50% of maximum in 1st, 2nd and 3rd order branches did not differ between PS19 and WT mice, the vasodilatation of upstream pial arterioles developed more slowly in PS19 mice, and responses were generally less sustained (Fig. 2E-G). Therefore, the suppression of neurovascular coupling in tau mice results from reduced and less sustained vasodilatation of intracerebral arterioles and a delay in the vasomotor response of upstream pial arterioles.
The suppression in functional hyperemia is not due to attenuation of the neural activity driving the vascular response
Since neural activity initiates neurovascular coupling 8 and p-tau may suppress synaptic activity 23, we examined whether the attenuation in functional hyperemia in tau mice could be a consequence of reduced neuronal activation. However, the frequency distribution of the electrocorticogram and the amplitude of the field potentials evoked by stimulation of the whisker pad did not differ between PS19 and WT mice (Fig. 3A,B). Furthermore, using Fura2 as an indicator in dissociated neocortical neurons of 2-3-months-old PS19 mice, we found that the increase in intracellular Ca2+ induced by NMDAR activation, a major driver of the hyperemic response 8, 18, 20, 39, was not attenuated (Fig. 3C). Therefore, reduced neural activity cannot be responsible for the attenuation in functional hyperemia in 2-3 months-old tau mice.
Suppressing tau production rescues neurovascular coupling and prevents cortical atrophy and cognitive deficits in older rTg4510 mice
rTg4510 mice were engineered with a tetracycline-controlled transcriptional activator driven by the CaMKII promoter and a P301L tau transgene driven by a tetracycline operon-responsive element, such that administration of doxycycline turns down tau production 26. We used this model to determine if suppressing tau production reverses the neurovascular coupling dysfunction and the other alterations observed in older rTg4510 mice. Starting at 3-4 months of age, tau production was turned down with doxycycline in the chow and CBF responses were tested 4 months later. Age-matched rTg4510 and WT littermates fed a regular diet, as well as WT mice treated with doxycycline, served as controls. rTg4510 mice (age 7-8 months) receiving control diet (tau-on) had reduced resting CBF in neocortex and hippocampus, impaired neurovascular coupling, reduced cortical thickness, neuronal loss, cognitive impairment and thioflavin-S-positive neurofibrillary tangles (Fig. 4A-F; Extended data Figs. 6A,B, 7A-C). CBF responses to adenosine and SNAP were not reduced (Extended data Fig. 7D). Therefore, as anticipated, aging tau mice exhibited full blown tau pathology, with neurodegeneration, neurovascular dysfunction and cognitive deficits. Doxycycline treatment (tau-off) reduced tau P301L mRNA (Extended data Fig. 6C) and rescued resting CBF and neurovascular dysfunction, as well as the other abnormalities observed in rTg4510 mice treated with control diet (Fig. 4A-F; Extended data Figs. 6B, 7A-C). Aquaporin 4 immunoreactivity, which labels astrocytic end-feet, was not disrupted in rTg4510 mice with or without doxycycline (Extended data Fig. 8A), indicating preservation of gliovascular associations. Furthermore, the astrogliosis observed in rTg4510 mice was not reduced with tau suppression despite the neurovascular and cognitive rescue, suggesting that it had no role in these alterations (Extended data Fig. 8B). As previously reported 26, doxycycline treatment did not prevent the development of neurofibrillary tangles (Extended data Fig. 6B). These observations link the neurovascular dysfunction to p-tau expression and support the involvement of more soluble tau species, rather than neurofibrillary tangles, in the deleterious neurovascular effects of p-tau 23.
Neurovascular dysfunction in tau mice is caused by uncoupling glutamatergic synaptic activity from neuronal NO production
Glutamatergic synaptic activity is a major driver of the increase in CBF produced by whisker stimulation 8, 20, 39. Therefore, we asked whether the attenuation in functional hyperemia in tau mice is due to a deficit in the increase in CBF induced by glutamate receptor activation. In WT mice the increase in CBF-LDF induced by whisker stimulation, but not resting CBF-LDF and the increase induced by acetylcholine or adenosine, was attenuated by neocortical application of the NMDAR antagonist MK801 (Fig. 5A; Extended data Fig. 9A). However, in PS19 mice MK801 failed to attenuate the increase in CBF-LDF further (Fig. 5A). This finding suggests that the NMDA-dependent component of the CBF response is already totally suppressed in tau mice. Consistent with this hypothesis, the increase in CBF-LDF induced by bathing the whisker barrel cortex with NMDA (40 μM), but not AMPA (10 μM), was blunted in PS19 mice and could not be attenuated further by MK801 (Fig. 5B,C). Similar results were obtained in rTg4510 mice (Fig. 5A-C). P-tau has been reported to reduce glutamate receptor expression, trafficking and function 23. However, the reduced CBF-LDF response was not related to alterations in NMDAR subunit expression (Extended data Figs. 9B and 10A-C) or to failure of the receptor to flux Ca2+ in response to NMDA (Fig. 3C).
Since NO derived from nNOS plays a key role in the increases in CBF induced by NMDAR activation and whisker stimulation 18-20, 40, we examined whether the NO-dependent component of these responses was suppressed in tau mice. Neocortical application of the broad-spectrum NOS inhibitor L-nitroarginine (L-NNA; 100μM), attenuated resting CBF-LDF and the increase produced by whisker stimulation or NMDA in WT, but not in PS19 mice (Fig. 6A-C). However, attesting its effectiveness, L-NNA attenuated the increase in CBF-LDF produced by neocortical application of acetylcholine, a response mediated by eNOS, both in WT and PS19 mice (Fig. 6D). CBF responses to adenosine were not affected (Fig. 6E). These data suggest that the component of functional hyperemia mediated by neuronal NO is attenuated in tau mice.
To provide further evidence in support of this possibility we assessed NO production using the indicator DAF-FM in dissociated cortical neurons exposed to NMDA (40μM) 18, 41. We found that NMDA increases NO production in neocortical neurons isolated from WT mice but not from 2-3 months-old PS19 or rTg4510 mice (Fig. 7A). Attesting to NO being the source of the DAF-FM signal, the increase in NO induced by NMDA was blocked by the NOS inhibitor L-NNA (Extended data Fig. 9C).The attenuation in NMDA-induced NO production was also observed in cortical brain slices of PS19 mice in which NO was measured amperometrically (Fig. 7B) 20. As in tau mice, pre-treatment with full-length recombinant tau (P301L; 400nM) suppressed NO production in WT neurons exposed to NMDA (Fig. 7C). The suppression of NMDA-induced NO production was not a consequence of reduced expression of GluN2B, PSD95 and nNOS protein, or their localization to synaptosomes or postsynaptic density (PSD), because their levels did not differ between WT, PS19, and rTg4510 mice (Extended data Fig. 10A-C). Nor was the effect due to suppression of the increase in intracellular Ca2+ induced by NMDA, which drives neuronal NO production (Fig. 3C). In addition, levels and localization of synaptophysin and MEK1/2 (Extended data Fig. 10B) as well as the protein level and activity of Ca2+-calmodulin kinase IIα, an enzyme involved in NMDA receptor signaling, were not altered in PS19 mice (Extended data Fig. 10D). These observations indicate that the attenuation in functional hyperemia in tau mice is mediated by a dissociation between NMDAR activity and neuronal NO production, resulting in suppression of the NO-dependent component of the vasodilatation.
Tau overexpression leads to dissociation of nNOS from the NMDAR-PSD95 complex
The GluN2B subunit of the NMDAR is linked to nNOS through the adaptor protein PSD95 15, 17 and disruption of their association uncouples NMDAR activity from NO production 18, 20, 42. Therefore, we asked whether tau overexpression suppresses NO production by altering the interaction of nNOS with the NMDAR complex. First, we sought to determine if tau is present at the PSD. We found an increase in total tau, as well as phosphorylated tau (AT8, PHF13) in PSD preparations from 2-3 months-old PS19 compared to WT mice (Fig. 7D). Next, we investigated by co-immunoprecipitation in PSD preparations if the association of GluN2B with PSD95 and/or PSD95 with nNOS is disrupted in PS19 mice. We found that both WT and PS19 mice have comparable levels of GluN2B bound to immunoprecipitated PSD95, demonstrating that the association of GluN2B to PSD95 was not altered by p-tau (Fig. 7E). However, immunoprecipitation of nNOS revealed a marked reduction of its association with PSD95 in PS19 mice (Fig. 7F), suggesting that the decrease in the NMDAR-induced production of neuronal NO in tau mice correlates with a disruption of the link between the NMDAR-PSD95 complex and nNOS.
Tau binds to PSD95 and disrupts the association between PSD95 and nNOS
To address whether tau is capable of disrupting PSD95-nNOS association by direct binding we exogenously expressed these proteins in HEK293T cells and performed co-immunoprecipitation studies. Overexpression of both WT and P301L tau resulted in hyperphosphorylated tau, determined by phosphatase-sensitive detection with the p-tau antibody AT8 (Fig. 8A, Extended data Fig. 10E). nNOS efficiently bound to immunoprecipitated PSD95, which was significantly reduced when tau was present (Fig. 8B, Extended data Fig. 10F). Tau co-precipitated with PSD95-nNOS (Fig. 8B, Extended data Fig. 10F), suggesting that it directly binds either to nNOS or PSD95 to weaken their association. To test this hypothesis, we first examined if nNOS co-precipitates with tau after co-expression in HEK293T cells, but we did not observe an interaction (Fig. 8C). However, when we co-expressed PSD95 with tau we found that tau binds to precipitated PSD95 (Fig. 8D, Extended data Fig. 10G), suggesting that the disruption of PSD95-nNOS association is due to tau binding to PSD95.
Discussion
We have demonstrated that tau-expressing mice have a selective suppression of the hyperemia produced by neural activity, while the CBF increases initiated by agonists acting on the endothelium or smooth muscle are not impaired. The neurovascular dysfunction is independent of neurodegenerative changes or cognitive deficits, which were not observed at this early age. Pharmacological studies suggested that the neurovascular dysfunction is a consequence of reduced NO production evoked by the glutamatergic synaptic activity driving the hyperemic response, a hypothesis confirmed by ex vivo studies in dissociated neurons demonstrating reduced NO production during NMDAR activation. The effect was not due to reduced Ca2+ influx during NMDAR activation, or to downregulation of the expression of receptor subunits, PSD95 or nNOS, as reported in more advanced stages of tau pathology 23, 43, 44. Rather, we observed a disruption of the association of nNOS with PSD95 well known to result in suppression of NMDAR-induced NO production 18, 20, 42. Consistent with previous studies, uncoupling NMDAR from nNOS did not alter resting NO levels, but it attenuated the NO increase induced by NMDAR activation 18, 20. The signaling dysfunction does not result from a global disruption of the PSD since the association between PSD95 and GluN2B was not reduced, but can be attributed to the binding of mutated tau to PSD95, in turn, leading to dissociation of nNOS from GluN2B-PSD95 complex (Extended data Fig. 10H). To our knowledge, the uncoupling of NO production from glutamatergic synaptic activity described here may be the earliest alteration in synaptic function induced by p-tau thus far described in vivo.
Recent evidence suggests that insertional effects of multiple copies of the transgenes in rTg4510 mice result in genomic deletion of 244Kb of the fibroblast growth factor-14 gene and of several other genes 45, 46. It has also been reported that in a new mouse line in which a single copy of the same P301L transgene was targeted to an intergenic site previously demonstrated to promote transgene expression without dysregulating endogenous gene expression, brain atrophy occurred at a pace slower than in rTg4510 mice, despite much higher levels of tau 45. Therefore, the insertional effects in rTg4510 mice are likely to accelerate the brain volume loss independently of tau. For the following reasons, however, we believe that these alterations do not compromise the validity of our findings in rTg4510 mice. First, the selective suppression of functional hyperemia observed in rTg4510 mice was replicated in two additional models: PS19 mice and WT mice with neocortical application of tau. Second, the accelerating effect on cortical atrophy was observed in 8-7-month-old rTg4510 mice, whereas neurovascular dysfunction was already present at 2-3 months of age when, despite the genomic disruption, no structural or behavioral alterations were observed in rTg4510 mice. Third, turning off tau production with doxycycline reversed the neurovascular dysfunction in 8-7-month-old rTg4510 mice despite the genomic disruption. Collectively, these findings link the neurovascular dysfunction to tau and not to the consequence of the genomic deletions in rTg4510 mice.
The microvascular basis of the failure of neurovascular coupling in tau mice is related to a reduced response to neural activity of higher order pial arteriolar branches supplying the activated whisker barrel cortex. Considering that intracerebral arterioles are the major target of neuronal NO released during activation 19, the reduced responsivity of these vessels is consistent with the deficit in neuronal NO induced by p-tau. Interestingly, the vasodilatation of pial arterioles was not attenuated, but exhibited a slower time course, probably reflecting the attenuated stimulus driving the conducted vasodilation from the intracerebral arterioles 8. While these observations identify intracerebral arterioles as the microvascular site responsible for the reduced hyperemic response, they also reveal a unique vascular segment selectivity of the neurovascular dysfunction induced by p-tau.
The effects of p-tau on neurovascular coupling are independent of neurofibrillary tangles. Thus in 2-3 months-old rTg4510 and PS19 mice neurovascular dysfunction was present in the absence of tangles. Furthermore, when tau production was reduced in rTg4510 mice, neurovascular function was rescued despite the persistence of neurofibrillary tangles, which persisted despite the suppression in tau expression 26. These observations indicate that the effects of p-tau on functional hyperemia are related to less insoluble tau species. In support of this conclusion, we found association of tau with PSD95 in 2-3 months-old tau mice without tangles or other aspects of tau pathology. Furthermore, expression of WT or mutant tau in HEK293T cells prevented the association of PSD95 with nNOS. These observations reinforce the notion that less insoluble forms of tau are responsible for the signaling abnormality underlying the neurovascular dysfunction 26. Of note, both WT and mutant tau were phosphorylated at the AT8 site, but it remains unclear if phosphorylation or aggregation is needed for tau to induce PSD95-nNOS uncoupling. Furthermore, it would be of interest to determine if, after suppressing tau production, the rescue of neurovascular coupling precedes the cognitive improvement, suggesting that improved vascular function contributes the improved cognition.
Tau mice have long been described to exhibit altered glutamate receptor subunit expression, trafficking, and currents 23, 43, 44. However, most investigations were performed in advanced disease, and it could not be determined if these alterations were the cause or the result of neurodegeneration. Hoover et al. described downregulation of NMDAR expression and trafficking preceding neurodegeneration in 4 months-old rTg4510 mice 27. The present study establishes that p-tau alters NMDAR signaling even earlier, and without suppressing glutamate receptor subunits, PSD95, nNOS, or NMDA-induced intracellular Ca2+ rise, but by uncoupling NMDAR activity from NO production. The role of the resulting deficit in NO production in the harmful effects of p-tau on brain function and cognition remains to be established. The alterations in neurovascular coupling could impair energy homeostasis and lower the threshold to injury caused by tau itself or other factors 8, 14. In addition, the loss of NO’s role in neurotransmission, long-term potentiation, synaptic plasticity and neurogenesis may also contribute to impaired brain function 47. The NO deficit could also lead to presynaptic dysfunction, due to the role of NO as a retrograde messenger 48. Finally, other PSD95 binding partners, including transmembrane, signaling, and cytoskeletal proteins, could also be displaced leading to potentially deleterious consequences 49. These alterations may act synergistically with the other harmful effects of p-tau and, in the long run, cause brain dysfunction and promote neurodegeneration. Irrespective of the impact of the neurovascular effects of tau, the observation that cerebrovascular dysfunction is observed in the preclinical stage of tauopathies such as FTD 10, 12, supports the notion that the neurovascular effects of tau described in the present study are relevant to the human disease and could play a pathogenic role in the early stages of the disease process.
In conclusion, we have demonstrated that mice overexpressing mutated tau exhibit a selective disruption of neurovascular coupling, that can be ascribed to a failure of intracerebral arterioles to relax in response to glutamatergic synaptic activity. The neurovascular dysfunction is observed prior to formation of neurofibrillary tangles and neurodegeneration, and can be reversed by downregulating tau expression, despite persistence of tangles. The uncoupling of neural activity from CBF is a consequence of the failure of NMDAR activation to evoke NO production, an effect resulting from the association of p-tau with PSD95 which disrupts the link between nNOS and the GluN2B-PSD95 complex. The data identifies alterations in NMDAR signaling as an early consequence of tau pathobiology, which may play a role in brain dysfunction and ensuing neurodegeneration. Furthermore, the data provide the mechanistic bases for the neurovascular alterations reported in the pre-symptomatic stage of tauopathies and raise the novel possibility that restoring NMDAR-dependent NO production may help counteract some of the harmful consequences of p-tau accumulation.
Materials and Methods
Mice
All procedures were approved by the Institutional Animal Care and Use Committee of Weill Cornell Medicine and performed according to the ARRIVE guidelines 50. Experiments were performed in two tau transgenic mouse lines: rTg4510 (P301L) 26 and PS19 (P301S) 25 (Jackson Lab stock# 008169) mice. The bi-transgenic rTg4510 mice were generated with conditional tau P301L expression driven by the CaMKIIα promoter by crossing responder (tau; The Jackson Lab stock# 015815) and transactivator (TA; The Jackson Lab stock# 007004) transgenic lines. To suppress tau transgene expression, rTg4510 mice were fed ad libitum with doxycycline (200 mg/kg; Product# S3888; Bio-Serv, Flemington, NJ) or control diet (Product#S4207; Bio-Serv, Flemington, NJ) starting at 3-4 months of age for 4 months. All tau transgenic mice and wild type littermates were males.
Magnetic resonance imaging
Imaging was performed on a 7.0 Tesla 70/30 Bruker Biospec small animal MRI system with 450 mT/m gradient amplitude and a 4,500T/m/s slew rate, as previously reported 41. Briefly, the animals were anesthetized with isoflurane (1-2%) and placed in the MRI. A volume coil was used for transmission and a surface coil for reception. The magnet coordinate of each animal varied a bit between mice, but the anatomical slice package was always aligned in the same way on each mouse, with the final slice in the forebrain right before the olfactory bulb. This allowed to consistently landmark the anatomical images and then center the ASL slice package a set distance from the anatomical slice package. Anatomical localizer images were acquired to find the transversal slice corresponding to the somatosensory cortex 51. This position was used for subsequent ASL imaging, which was based on a flow-sensitive alternating inversion recovery rapid acquisition with relaxation enhancement (FAIR-RARE) pulse sequence labeling the inflowing blood by global inversion of the equilibrium magnetization. Three averages of one axial slice were acquired with a field of view of 15 × 15 mm, spatial resolution of 0.234 × 0.234 × 2 mm3, echo time TE of 5.368 ms, effective TE of 26.84 ms, repeat time TR of 10 s, and a rapid imaging with refocused echoes (RARE) factor of 36. For computation of CBF, the Bruker ASL perfusion processing macro was used 52. Turbo-RARE anatomical images were acquired with the same field-of-view and orientation as the ASL images (resolution = 0.078 × 0.078 × 1 mm3, TE = 48 ms, TR = 2000 ms, and a RARE factor of 10). The total scan time (ASL+anatomical images) was 39 min. The ASL- and T2-MRI images were evaluated for resting CBF and cortical and hippocampal anatomy, respectively, at the bregma level of −1.70 mm 51 using ImageJ 1.52r (NIH). The average CBF value is reported as ml/100 g of tissue/minute (ml/100g/min). To measure cortical thickness, 2-3 measurements were taken bilaterally in a coronal section at different levels from the midline and averaged to produce mean thickness in mm 41. To measure hippocampal volume, the regions of interest (ROI) representing the right and left hippocampi were drawn on T2-weighted coronal sections and measured. The hippocampal volume (mm3) was then calculated using the following formula: the hippocampal volume = sum of ROI x .0.5 mm (a thickness of a T2-MRI section).
General surgical procedures for CBF-LDF measurement
As described in detail elsewhere 20, 53, 54, mice were anesthetized with isoflurane (induction, 5%; surgery, 2%) and maintained with urethane (750 mg/kg; i.p.) and α-chloralose (50 mg/kg; i.p.). A femoral artery was cannulated for recording of arterial pressure and blood gas analysis. A feedback-controlled heating pad was used to maintain body temperature at 37°C. The trachea was intubated and mice were artificially ventilated with a mixture of N2 and O2. Throughout the experiment the level of anesthesia was monitored by testing motor responses to tail pinch. The somatosensory cortex was exposed through a small craniotomy (2x2 mm). The dura was removed, and the exposed cortex was continuously bathed with a modified Ringer’s solution (36-37°C; pH: 7.3-7.4) (see ref Iadecola (1992) 55 for composition). CBF was continuously monitored at the site of superfusion with a laser-Doppler probe (Vasamedic) positioned stereotaxically on the neocortical surface and connected to a computerized data acquisition system. CBF values were expressed as percent increase relative to the resting level. Resting CBF is reported as arbitrary laser-Doppler perfusion units. As a control, zero values for CBF were verified after the heart was stopped by an overdose of isoflurane at the end of the experiment.
Experimental protocol for CBF-LDF measurement in open cranial windows
CBF recordings were started after arterial pressure and blood gases were in a steady state. Arterial blood pressure (80-90 mmHg), blood gases (pO2, 120-140 mmHg; pCO2, 30–40 mmHg; pH, 7.3-7.4) were monitored and controlled. Blood gases were measured twice using a blood gas analyzer [Siemens (Chiron Diagnostics) M248, Deerfield, IL] to assure their stability. All pharmacological agents were dissolved in a modified Ringer’s solution. CBF-LDF responses to mechanical stimulation of the whiskers at 5 Hz for 60 sec were recorded. To test endothelium-dependent responses acetylcholine (10 μM, Sigma), the Ca2+ ionophore A23187 (3 μM; Sigma) or bradykinin (50 μM; Sigma) was topically superfused for 3-5 min and the evoked CBF-LDF increases recorded. To test smooth muscle reactivity, CBF-LDF response to adenosine (400 μM, Sigma) or the NO donor SNAP (50 μM, Sigma) were examined 20, 54, 56. The increase in CBF-LDF produced by hypercapnia was tested by introducing 5% CO2 in the ventilator to increase arterial pCO2 up to 50-60 mmHg for 3-5 min. In some experiments the CBF-LDF response to NMDA (40 μM; Sigma) or AMPA (10 μM; Sigma) superfusion was tested 20. To test effect of topical application of recombinant tau (rTau) on functional hyperemia, the cranial window was superfused with a Ringer’s solution containing rTau [Tau-411 (2N4R) P301L mutant, rPeptide; 0.1-5 μM]. rTau was freshly reconstituted in distilled water and then diluted in normal Ringer’s solution. The CBF-LDF response to whisker stimulation, ACh, and adenosine was tested 30-40 minutes after rTau superfusion. In some experiments, the CBF-LDF response to whisker stimulation, ACh, NMDA, AMPA, or adenosine was tested before and 30 minutes after superfusion of the cranial window with the NMDA receptor antagonist MK-801 (10 μM; Sigma) or the nonselective NOS inhibitor L-NNA (1 mM; Sigma). In experiments with MK-801 pretreatment, the effect of the Na+ channel blocker TTX (3 μM; Sigma) was also tested.
Protocol for CBF-LSI and 2-Photon imaging
Procedures for cranial window and thinned skull preparations were described previously 41, 57, 58. In brief, mice were anesthetized with isoflurane and secured on a stereotaxic frame equipped with a heating pad. After removing the scalp and periosteum from the surface of the skull, a custom-made titanium head post was glued onto right hemisphere over the somatosensory cortex. The skull was thinned using a dental drill and the surface was then covered with a thin layer of cyanoacrylate adhesive. Mice were then anesthetized with urethane and α-chloralose (see above). The trachea was intubated for mechanical ventilation. In selected mice, the femoral artery was cannulated to monitor arterial pressure and blood gases to assure that these variables were in the range described above for CBF-LDF.
CBF-LSI imaging:
CBF-LSI was performed with a commercial system (Omegazone; Omegawave) 41, 59. Thinned skull was illuminated with a semiconductor laser set at 780 nm and the scattered light was detected with a CCD camera positioned over the skull. Color-coded CBF images were obtained in highest resolution (639 × 480 pixels) with the sampling frequency at 60 Hz. Each recording lasted for 135 seconds of which 3 periods included baseline, whisker stimulation, and recovery (45 sec each) to monitor a full course of CBF change (see Fig. 2A for representative images). Images were obtained for each period separately for off-line quantification. Two regions of interests (ROI) were selected, one placed within the whisker barrel cortex and another one outside the barrel cortex, to monitor CBF changes and select candidate vessels to image by 2-photon microscopy.
2-photon imaging:
After selecting the candidate vessels under LSI imaging, mice were injected with fluorescein dextran-conjugated dye (2.5% w/v FITC 70 kDa) diluted in sterile saline via retro-orbital injection (50 μl) to visualize the vasculature 41, 57. Imaging was performed on a commercial two-photon microscope (Fluoview FVMPE; Olympus) equipped with a solid-state laser (InSight DS+; Spectraphysics) set to a 800-nm wavelength. Image stacks were acquired through Fluoview software (FV31S-SW, version 2.3.1.163; Olympus). First, a map of vasculature was taken through a 5x objective (MPlan N 5x 0.1 NA; Olympus) and compared with LSI images to locate the same imaging field in the whisker barrel cortex and to identify vessels branching from pial arteries at the cortical surface that feed barrel area. Once the blood vessels to be imaged were identified, we switched to a 25x objective (XLPlan N 25x 1.05 NA; Olympus), which was mounted on a piezo motor stage (P-725 PIFOC; PI) for higher resolution, rapidly-repeated z-stack imaging. To measure time-dependent changes in vessel diameter, we took rapid z-stacks (< 2 s per stack) centered on a vessel of interest, which varied in depth between 50 and 100 μm, with a z-step size between 5 and 20 μm and ~1 μm/pixel lateral resolution. An individual recording lasted for 2 minutes and 30 seconds and included baseline (60 s), whisker stimulation (45 s), and recovery (45 s). In each animal, stacks were taken at 3 to 6 regions within the barrel cortex and contained vessels of different sizes and classes of arterial branches.
Data analysis for LSI and 2-Photon imaging:
For the analysis of LSI signal changes, ImageJ (NIH) was used. First, to obtain the net increase in LSI signals evoked by whisker stimulation, the average LSI signals acquired during baseline (60 s) was subtracted from the average LSI signals obtained during stimulation (45 s). Then, circular ROIs were drawn on the responsive areas in the images acquired during baseline and stimulation, and the CBF-LSI increase (%) produced by the whisker stimulation was calculated. For 2-photon data analysis, we first took each individual rapid z-stack and calculated a maximum intensity z-projection. Successive z-projections of the same vessel sets were then registered to each other using the ‘rigid body transformation’ under ImageJ (NIH) TurboReg plugin to remove spatial drift. In a few datasets, the spatial drift was too large for this registration and we, instead, analyzed subsets of the movie (each of which could be motion corrected) separately. After motion artifact correction, the z-projections were smoothed using a 3X3 pixel kernel and the contrast was manually adjusted with one setting for the entire movie, while avoiding saturation. To determine vessel diameter, line ROIs were manually drawn across the vessel of interest and fluorescent intensity profiles of the line ROI over time were exported for further analysis using custom written MATLAB code. This yielded a time-dependent vessel profile, which was smoothed in both space and time with an averaging filter with a 1.5 pixel kernel size. The vessel diameter was measured at the time of each z-stack by interpolating the spatial profile by about 30X to smooth pixilation and calculating the full width at half maximum. Baseline diameter was calculated as the average diameter over 15 s before the onset of whisker stimulation and the percent diameter change was calculated from the baseline and the peak vessel diameter seen during whisker stimulus.
Electrocorticogram and field potentials
Mice were anesthetized and surgically prepared as described above. The electrocorticogram (ECG) was recorded by using bipolar recording electrodes positioned stereotaxically on the left somatosensory cortex (3 mm lateral and 1.5 mm caudal to bregma; depth of 0.6 mm) 20, 60. The ECG was recorded for five epochs each lasting 5 min and separated by a 20-min interval. The timing of the recordings relative to the administration of anesthesia was identical for all animals. Signals were amplified, digitized, and stored (PowerLab; AD Instruments). Spectral analysis of the EEG was performed by using a software module embedded in PowerLab. Field potentials were recorded by using an electrode placed in the somatosensory cortex contralateral to the activated whiskers. The somatosensory cortex was activated by electrical stimulation of the whisker pad (2 V; 0.5 Hz; pulse duration, 1 ms). Analyses were performed on the average of 10 stimulation trials 61.
Ca2+ imaging and NO production
As described previously 41, 54, 62, 63, coronal cortical slices (350 μm in thickness) were cut from the brain of 2-3 months old WT and PS19 mice and incubated aCSF containing Pronase 0.02% (w/v), thermolysin (0.02%) at 36 °C (Sigma Aldrich). Neocortical neurons were then mechanically dissociated for Ca2+ imaging and assessment of NO production.
Ca2+ imaging:
Dissociated neurons were incubated with the Ca2+ indicator Fura-2/AM (20 μmol/l, Life Fisher) 41, 54. Fura-2/ AM-loaded cells were transferred to polyornithine-coated glass-bottom Petri dish (Warner Instruments, CT). Images were acquired on a Nikon 300 inverted microscope with an oil-immersion lens (Nikon CF UV-F X40; N.A., 1.3). Fura-2/AM was alternately excited through narrow bandpass filters (340 and 380 nm). An intensified CCD camera (Retiga ExI) recorded the fluorescence emitted by the indicator (510±4 nm). After background subtraction, fluorescence measurements were obtained from cell bodies of 3–5 neurons in randomly selected fields before and after perfusion of the cells with NMDA (40 μM) for 20 min. Fluorescence ratios (340/380 nm) were calculated for each pixel by using a standard formula 64. At the end of the experiment, the viability of the preparation was verified by testing the Ca2+ response to the Ca2+ ionophore A23187 54.
NO detection by DAF-FM:
Dissociated neurons were incubated with DAF-FM (5 μM) in oxygenated l-aCSF for 30 min, and then rinsed in control buffer 41, 62, 63. Time-resolved fluorescence (FITC filter) was measured at 30-s intervals with a Nikon diaphot 300 inverted microscope equipped with CCD digital camera (Princeton Instruments) and using IPLab software (Scanalytics). DAF-FM fluorescence intensity is expressed as Ft/Fo, where Fo is the baseline fluorescence before application of NMDA, and Ft is fluorescence in the same cell after application of NMDA. Suppression of the NMDA-induced increase in NO by NOS inhibition with L-NNA (100μM) provided evidence that NO is the source of the signal (Extended data Figure 9C). In recombinant tau experiments, concurrent vehicle recordings were performed.
Amperometric NO detection:
NO production was assessed by using an Apollo 4000 Analyzer equipped with a NO sensitive carbon fiber electrode (tip diameter, 0.1 μm; ISO-NOPNM; World Precision Instruments), as previously described 20. The NO detection limit of the electrode is 0.5 nM with a response time <3s. After calibration of the electrode with the NO donor SNAP 20, NO production was assessed in neocortical slices of 2-3-month-old PS19 and WT mice. Brain slices were perfused with Mg2+-free lactic acid artificial cerebrospinal fluid (aCSF; in mM: 121 NaCl, 5 KCl, 2 CaCl2, 0.01 glycine, 1 Na-pyruvate, 20 glucose, 26 NaHCO3, 1 NaH2PO4, 4.5 lactic acid, 95% O2 and 5% CO2, pH = 7.4) at room temperature. Perfusion of the aCSF was discontinued and the tip of the electrode was placed close to the surface of the slice. After stabilization of the basal NO signal, NMDA (100 μM in aCSF) was applied and the production of NO was monitored for at least 12 min. After washing off the NMDA, the NO production returned to baseline. The data were digitally acquired and stored for off-line analysis.
Immunohistochemistry
Mice were sacrificed by an overdose of sodium pentobarbital (120 mg/kg, i.p.) and perfused transcardially with PBS followed by 4% paraformaldehyde (PFA) in PBS. Brains were sectioned in a vibratome (section thickness: 40 μm). Free floating sections were permeabilized with 0.5% Triton X-100 and non-specific binding was blocked with 1% of normal donkey serum. Sections were randomly selected and incubated with the primary antibodies (see Supplementary Table 1). After washing, brain sections were incubated with a Cy5- or a FITC-conjugated secondary antibody (1:200; Jackson ImmunoResearch Laboratories), mounted on slides and imaged with a confocal microscope (Leica SP8). The specificity of the immunofluorescence was verified by omission of the primary and/or secondary antibody or blocking of the antigen. All quantifications were performed by investigators in blinded to the genotype of the mice on randomly selected fields within the somatosensory cortex.
Real-time PCR for NMDA receptors and tau
Quantitative determination of gene expression was performed on a Chromo 4 detector (Peltier thermal cycler; MJ Research) using a two-step cycling protocol. Primers are listed in Supplementary Table 2. Two microliters of diluted cDNA (1:10) were amplified by Platinum SYBR green qPCR supermix UDG (Invitrogen). The reactions were incubated at 50°C for 2 min and then 95°C for 10 min. A PCR cycling protocol consisting of 15 s at 95°C and 1 min at 60°C for 45 cycles was required for quantification. Quantities of all targets in test samples were normalized to the mouse housekeeping hypoxanthine-guanine phosphoribosyltransferase (HPRT) gene 52.
Western blotting and immunoprecipitation
Cytosolic-, membrane- and PSD-enriched protein isolation from brain lysates:
Mouse forebrains were homogenized in 500μl ice-cold homogenization buffer [in mM: 15 Tris.HCl pH7.5, 250 sucrose, 1 MgCl2, 2.5 EDTA, 1 EGTA, 1 dithiothreitol, protease inhibitors (Roche Applied Biosciences) and PhosSTOP (Sigma Aldrich)] per hemisphere through 30 strokes in a glass Dounce Homogenizer. Lysates were centrifuged at 10,000rpm for 10min at 4°C to obtain cytosolic supernatants. Pellets were resuspended in 250μl homogenization buffer, sonicated (20% amplitude for 10sec at 4°C; Branson Sonifier) and after addition of 2% Triton X-100 and 150mM KCl final concentration rotated for 60min at 4°C. Lysates were spun for 10min at 13,000rpm to separate the detergent-soluble membrane fraction from the detergent-insoluble PSD-enriched fraction. Presence of proteins in fractions was determined by Western Blotting with the primary antibodies (see Supplementary Table 1).
Co-immunoprecipitation studies from PSD-enriched brain lysates:
The PSD fraction was solubilized by sonication for 10sec at 20% amplitude in 10 volumes 50mM Tris.HCl pH 7.5, 2% sodium dodecyl sulfate (SDS) and spun for 1hr at 13,300rpm. Chaps was added to supernatants in a final concentration of 0.1%, and SDS was precipitated by addition of 1/20 volume SDS-Out reagent (Thermo Fisher Scientific), incubation for 20min at 4°C and centrifugation for 10min at 10,000rpm. For renaturation of proteins, supernatants were diluted with 1/3 volume of 100mM Tris.HCl pH 7.5, 2.4% Tween-20, protease inhibitors, and PhosSTOP and were then incubated for 1.5hrs at 4°C. Thereafter, samples were added with 1/4 volume of 3.06% artificial chaperone cycloamylose 65 (Sigma Aldrich) and were incubated overnight at 4°C, spun at 13,000rpm for 15min and supernatants containing solubilized PSD proteins were collected. Twenty (20) μg of total protein was set aside as expression control. To assess PSD95-GluN2B interaction, 400μg lysate was diluted 1:1 with 1x phosphate buffered saline (PBS), combined with 4μg PSD95 antibody (clone G6G-1C9; Thermo Fisher Scientific) and incubated with agitation overnight. Subsequently, 60μl Dynabeads Protein G (Thermo Fisher Scientific) were added and samples were rotated for 2hrs at 4°C. nNOS association with PSD95 was determined by pull down with nNOS antibody (PA3-032A; Thermo Fisher Scientific) using the same protocol as above. Samples exposed to isotype control antibodies (BioLegend) were used as non-specific binding control. Beads were washed 3 times with 1x PBS and finally resuspended in 30μl SDS sample buffer (62.5mM Tris.HCl pH6.8, 2% SDS, 10% glycerol, 0.002% bromophenol blue, 50mM DTT). Proteins were resolved by 4-12% Tris-Glycine protein gels (Thermo Fisher Scientific), transferred to PVDF membranes (EMD Millipore) and detected by Western Blotting with antibodies against PSD95, nNOS and GluN2B.
Preparation of purified synaptosomes:
Synaptosomes were isolated from forebrains as described 66. All procedures were carried out at 4°C with pre-cooled reagents and equipment. All buffers were supplemented with protease and phosphatase inhibitors. Brains were homogenized in 1ml sucrose buffer (in mM: 320 mM sucrose, 1 NaHCO3, 1 MgCl2, 0.5 CaCl2)/30mg tissue in a glass Dounce homogenizer with 12 strokes on ice. The homogenate was centrifuged at 2,500rpm for 10min to remove cell debris and nuclei. Pellet was re-homogenized in sucrose buffer and spun again. Supernatants were combined and cleared from any residual debris by spinning at 1,200rpm for 10min. Cleared supernatants were subsequently centrifuged at 9,000rpm to obtain cytosolic supernatant and a pellet containing crude synaptosomes. Pellet was resuspended in 400μl sucrose buffer, pipetted onto 1.8ml 5% Ficoll-400 (Sigma Aldrich), and spun for 45min at 19,300rpm. The supernatant was removed and pellet was re-homogenized in 400μl 5% Ficoll-400. The homogenate was layered on 1.8ml 13% Ficoll-400 and again spun for 45min at 19,300rpm. Synaptosomes form a layer at the interface of 5% and 13% Ficoll-400. The layer was carefully removed and diluted to 1ml with 2% Ficoll-400.Then, synaptosomes were pelleted by centrifugation at 32,000rpm for 30min, after which they were taken up in 100μl 5% SDS, followed by sonication for 10sec at 20% amplitude.
CaMKII activity measurements:
CaMKII activity was determined in cytosolic-, membrane- and PSD-enriched forebrain lysates using the highly selective peptide substrate Autocamtide-2 (peptide amino acid sequence: KKALRRQETVDAL). Fresh forebrain was homogenized in ice-cold 500μl lysis buffer (in mM: 50 Tris.HCl pH7.5, 150 NaCl, 0.25 DTT, 0.1 EDTA, 0.1 EGTA, 25% glycerol, protease and phosphatase inhibitors) per hemisphere by 15 strokes using a glass Dounce homogenizer. Lysates were centrifuged for 10min at 13,000rpm and the supernatant kept as cytosolic fraction. The pellet was resuspended in 250μl lysis buffer plus 2% Triton X100 and 150mM KCl and homogenized again. After 30min incubation on ice and spinning for 10min at 13,000rpm, the supernatant containing the membrane fraction was set aside. The PSD-enriched fraction was re-homogenized in 250μl lysis buffer, ensuring solubilization of all particles. Phosphorylation reactions were initiated by mixing 5μg lysate with 40μl reaction buffer containing 50mM HEPES.KOH pH7.4, 5mM MgCl2, 0.05% BSA, 50μM substrate, 50μM ATP, 1mM CaCl2, 2μM calmodulin and 5 Ci/mmole γ32P-ATP (Perkin Elmer). Reactions were incubated at 30°C for 1min, after which they were terminated by spotting on P81 phosphocellulose cation exchange chromatography paper (Whatman). Filters were washed 4 times for 2min in 0.5% phosphoric acid, and the remaining radioactivity was quantified in a LS3801 scintillation counter (Beckman Coulter) by the Cherenkov method.
Plasmid constructs:
PSD95 was amplified from C57BL6/J mouse cDNA with primers containing EcoRI (5’- gcacGAATTCatatggactgtctctgtatagtg-3’) and XhoI (5’-gataCTCGAGtcagagtctctctcgggctgg-3’) restriction sites and subsequently cloned into EcoRI/XhoI-digested pCMV-Myc vector (Clontech). pcDNA3.1-nNOS 67, pRK5-EGFP-Tau WT and pRK5-EGFP-Tau P301L 27 were kind gifts from Yoichi Osawa (University of Michigan Medical School, Ann Arbor, MI) and Karen Ashe (Addgene plasmid #46904 and #46908; University of Minnesota, Minneapolis, MN), respectively. pcDNA3.1 (Thermo Fisher Scientific) and pEGFP-C3 (Clontech) plasmids were used as empty vector expression controls. All plasmid constructs used in this study were verified by automated DNA sequencing.
Transient transfections and co-immunoprecipitation studies in HEK293T cells:
Human embryonic kidney (HEK) 293T cells were obtained from the American Tissue Culture Collection (ATCC; CRL-11268) and cultured as described 68. Transient transfections with PSD95, nNOS, Tau WT and Tau P301L plasmids were carried out with Lipofectamine 2000 (Thermo Fisher Scientific) as described by the manufacturer. Experiments were carried out 36hrs later. Cells were lysed in 200μl ice-cold RIPA buffer (50mM Tris.HCl pH8, 150mM NaCl, 1mM EDTA pH8, 1% Igepal CA-630, 0.5% sodium deoxycholate, 0.1% SDS, protease and phosphatase inhibitors). Lysates were sonicated for 10sec on ice with 20% amplitude. A portion of lysate (10μg) was set aside for expression control. For immunoprecipitation studies, 600μg total lysate was incubated overnight at 4°C with either 4μg monoclonal antibody against PSD95 (clone G6G-1C9) or Tau (clone TAU-5; both Thermo Fisher Scientific). Non-specific binding controls were incubated with mouse IgG2a and IgG1 isotype control antibodies (BioLegend), respectively. On the next day, 30μl Dynabeads Protein G (Thermo Fisher Scientific) was added and incubation was continued by rolling tubes at 4°C for 2hrs. Beads were washed 3 times with RIPA buffer to remove unbound proteins, and then taken up in 30μl SDS-sample buffer. Precipitates were resolved on 4-12% Tris-Glycine protein gels, transferred to PVDF membranes and probed by Western Blotting for the presence of proteins with antibodies against PSD95, Tau and nNOS.
Tau phosphorylation in HEK293T cells:
Tau WT and P301L plasmids were transfected and lysates prepared as described above. 20μg total protein was incubated for 1.5hrs at 30°C with 400 units Lambda protein phosphatase (New England Biolabs) in presence of 10mM MnCl2. Companion reactions were treated the same, except for addition of the phosphatase. Tau phosphorylation was assessed by Western Blotting with anti-phospho-Tau antibody clone AT8. Total Tau was detected with Tau5 antibody.
Cognitive testing
Methods for cognitive testing have been described in detail previously 41, 69 and are only summarized. All analyses were performed in a double-blinded fashion.
Barnes maze test:
Mice were tested in a group of 10 with the inter-trial interval (20–30 minutes). All of the mice examined were trained with an escape hole located in the same location across trials. No habituation trial was performed. The acquisition phase consisted of 4 consecutive training days with 4 trials per day. After each trial, mice remained in the escape box for 60 seconds before being returned to their home cages. Mice were allowed 3 minutes for each trial to locate the escape hole. On day 5, 24 hr after the last acquisition test, probe trials were performed. Mice were placed in a start quadrant of the Barnes maze and allowed to explore for 90 seconds. Then, we analyzed (a) latency to enter the escape hole during acquisition phase (escape latency) and (b) time spent in escape quadrant in the probe trial.
Y-maze spontaneous alternation behavior:
Mice were placed into one of 3 arms of the maze (start arm) and allowed to explore only two of the three arms for 5 min (training trial). The closed arm was opened in the test trial, serving as the novel arm. After a 30-min intertribal interval, the mice were returned to the same start arm and were allowed to explore all three arms for 5 min (test trial). Sessions were video recorded with and analyzed using AnyMaze (San Diego Instruments). Spontaneous alternation was evaluated by scoring the order of entries into each arm during the 5 min of the test trial. Spontaneous alternation (%) was defined as the ratio of total arm to possible (=total arm alternations minus 2) number of alternations x 100.
Novel object recognition (NOR) test:
The test was performed in two consecutive days. On day one, mice were placed in the center of an empty open box and allowed to explore for 5 minutes. On day 2, the mice were placed back to an open box with two identical objects in the center and allowed to explore for 5 minutes. Thirty minutes later, mice were exposed again to a familiar and a novel object, and allowed to explore for 5 minutes. The exploring activity (facing, touching or sniffing the object) was monitored and analyzed using AnyMaze, and the percent of the time spent exploring the novel vs. familiar objects was calculated.
Data analysis
Sample size was determined by power analysis using G*Power (version 3.1.9.2). Experiments were randomized based on the random number generator (www.random.org) and were performed and analyzed in a blinded fashion. Data and Image analysis were done with ImageJ 1.52r (NIH), MATLAB (R2018a, MathWorks, Inc.), or Prism (version 8.3.0, GraphPad Software, Inc.). Data were tested for normal distribution by the D’Agostino-Person test and for outliers by the Grubbs’ test (extreme studentized deviate). Two-group comparisons were analyzed by the paired or unpaired two-tailed t-test, as indicated. Multiple comparisons were evaluated by the one-way or (repeated measures) two-way analysis of variance (ANOVA) and Tukey’s test. Two photon experiments were analyzed with Mann-Whitney test because the data were not normally distributed. Differences were considered statistically significant for probability values less than 0.05. Data are expressed as means ± SEM.
Reporting Summary.
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Data availability
All the data supporting conclusions of the current study are presented in the figures. If necessary, the data that support the findings of this study are available from the corresponding authors upon reasonable request. There are no restrictions on data availability.
Code availability
No code was used for the study.
Extended Data
Supplementary Material
Acknowledgements
Supported by NIH grants R01-NS37853 (CI), R01-NS097805 (LP), R01-NS109588 (KH), Japan Heart Foundation/Bayer Research Grant Abroad (YH), The Uehara Memorial Foundation Research Fellowship (YH), Japan Society for the Promotion of Science Overseas Research Fellowship (YH), and American Heart Association Postdoctoral Fellowship 20POST35120063 (SJA). We thank Dr. Chris B. Schaffer for helpful suggestions and editing. Support from the Feil Family Foundation is gratefully acknowledged.
Footnotes
Competing financial interest
CI serves on the advisory board of Broadview Ventures. The other authors have no conflicts to declare.
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Data Availability Statement
All the data supporting conclusions of the current study are presented in the figures. If necessary, the data that support the findings of this study are available from the corresponding authors upon reasonable request. There are no restrictions on data availability.