Increasing cerebral blood flow improves cognition into late stages in Alzheimer’s disease mice

Abstract

Alzheimer’s disease is associated with a 20–30% reduction in cerebral blood flow. In the APP/PS1 mouse model of Alzheimer’s disease, inhibiting neutrophil adhesion using an antibody against the neutrophil specific protein Ly6G was recently shown to drive rapid improvements in cerebral blood flow that was accompanied by an improvement in performance on short-term memory tasks. Here, in a longitudinal aging study, we assessed how far into disease development a single injection of anti-Ly6G treatment can acutely improve short-term memory function. We found that APP/PS1 mice as old as 15–16 months had improved performance on the object replacement and Y-maze tests of spatial and working short-term memory, measured at one day after anti-Ly6G treatment. APP/PS1 mice at 17–18 months of age or older did not show acute improvements in cognitive performance, although we did find that capillary stalls were still reduced and cerebral blood flow was still increased by 17% in 21–22-months-old APP/PS1 mice given anti-Ly6G antibody. These data add to the growing body of evidence suggesting that cerebral blood flow reductions are an important contributing factor to the cognitive dysfunction associated with neurodegenerative disease. Thus, interfering with neutrophil adhesion could be a new therapeutic approach for Alzheimer’s disease.

Keywords

Animal behavior nonlinear microscopy short-term memory brain blood flow

Introduction

Alzheimer’s disease (AD) is the most common cause of dementia in the elderly, and is characterized by brain atrophy and a gradual cognitive decline that is correlated with a loss of synapses and death of neuronal cells, particularly in brain regions involved in learning and memory processes.¹ Recent work has suggested that there are significant vascular contributions to the progression and severity of AD and other forms of dementia.² Cerebral blood flow (CBF) reductions ranging from 10 to 28% have been reported in patients with AD and other neurodegenerative diseases.^3–6 These CBF reductions can be detected early in disease progression, before deposition of large amyloid plaques or significant neurological decline.^7–9 The degree of blood flow reduction correlates with the severity of some cognitive symptoms, suggesting that impaired CBF may directly contribute to cognitive decline in neurodegenerative disease. Decreased CBF in the thalamus and caudate was associated with poorer performance on a broad test of cognitive function in patients with AD and mild cognitive impairment (MCI).¹⁰ In MCI patients, increased CBF was associated with better memory performance, while decreased CBF was correlated to poorer visuospatial perception and general cognitive dysfunction.^11–13 In addition, in aged humans without neurodegenerative disease, lower blood flow in hippocampus was associated with poorer spatial memory.¹⁴ Finally, reduced CBF was found to be predictive of later cognitive decline in healthy individuals.¹⁵

Mouse models of AD, which overexpress mutated forms of amyloid precursor protein (APP), similarly display CBF reductions of ∼25%,^16–19 which occur early in the course of disease progression.^18,20 In these mouse models of AD, increased CBF, achieved through increased physical activity, was correlated with enhanced memory function.²¹ In addition, in wild-type (WT) mice with chronic brain hypoperfusion show impaired memory function.^22,23 Taken together, these data suggest that overexpression of mutated forms of APP in mice leads to CBF deficits and such blood flow deficits contribute to cognitive dysfunction.

Several mechanisms have been proposed that may contribute to the CBF reductions seen in AD patients and mouse models, including tonic constriction of brain arterioles and reduced vascular density in the brain.²⁴ Vascular amyloidosis as well as oxidative stress and dysfunction in endothelial cells have been correlated with CBF reductions in AD,^9,25,26 suggesting increased vascular inflammation may play a role in CBF reduction.¹ Consistent with this idea, we recently found that most of the CBF reduction seen in mouse models of AD is caused by neutrophils that transiently adhere to the endothelial cell wall in brain capillaries. About 1.8% of cortical capillaries had stalled blood flow in the APP/PS1 mouse model of AD, as compared to 0.4% in WT mice. The incidence of capillary stalls could be reduced by treating with an antibody against the neutrophil-specific GPI-linked protein lymphocyte antigen 6 complex, locus G (Ly6G). This antibody interfered with neutrophil adhesion immediately, leading to a ∼60% reduction of the number of capillary stalls and a resulting ∼30% increase in CBF in APP/PS1 mice that occurred within minutes. Correlated to this rapid CBF recovery, we observed an improvement in spatial and working short-term memory within 3 h in mice that were 10-11 months of age, shortly after cognitive deficits are first observed in this AD mouse model. Within a day, the anti-Ly6G depleted neutrophils, which preserved the reduction in stalled capillaries, thereby maintaining the increased CBF and improved memory performance.²⁰

In this paper, we explore the correlation between capillary stalls, CBF, and cognition in APP/PS1 mice and aim to determine how far into disease progression treatment with anti-Ly6G can still lead to improvements in short-term memory as well as increased CBF.

Materials and methods

Animals

All animal procedures were approved by the Cornell Institutional Animal Care and Use Committee and were performed under the guidance of the Cornell Center for Animal Resources and Education (protocol number 2015-0029). This study is reported in compliance with the ARRIVE guidelines (Animal Research: Reporting in Vivo Experiments).²⁷ We used aged transgenic mice (B6.Cg-Tg (APPswe, PSEN1dE9) 85Dbo/J, RRID: MMRRC_034832-JAX, The Jackson Laboratory) as a mouse model of AD (APP/PS1)²⁸ and WT littermates (C57BL/6) as controls. Animals were housed in specific pathogen-free cages with a maximum of five mice per cage with access to unlimited food and water. APP/PS1 animals were randomly assigned to Group 1 or Group 2 for behavioral experiments before the first timepoint, while WT littermates formed Group 3. Animals were of both sexes (Group 1 (APP/PS1): four females and seven males; Group 2 (APP/PS1): five females and six males; and Group 3 (WT): six females and six males). One APP/PS1 mouse from Group 1 died at 14 months of age and one WT mouse from Group 3 died at 16 months of age. At the conclusion of behavior experiments, we randomly re-allocated animals for measurements of capillary stalling and CBF. The APP/PS1 mice from Groups 1 and 2 were pooled and a subset were randomly assigned between treatment with α-Ly6G (four APP/PS1, one female and three males) and with Iso-Ctr (three APP/PS1, two females and one male), while WT mice were treated with α-Ly6G (four WT, one female and three males). Group sizes were determined based on the variance in previous measurements made with these same behavioral and physiological assays and with the behavioral and blood flow impacts of α-Ly6G from our previous work,²⁰ yielding a requirement for groups of about 10 mice for behavioral studies and three to four for CBF and capillary stalling measurements.

Behavior experiments

We used two measures of short-term memory function, the object replacement (OR) task and the Y-maze task. All experiments were performed in the morning, beginning between 6 and 8 a.m. Animals were housed with a 12-h light/12-h dark schedule, and animals were brought to an isolated room under red light conditions at the end of the dark cycle. Mice were first habituated to the room where behavioral experiments were conducted over three visits to the room. During behavioral experiments, mice were brought to the behavior room 1 h prior to starting the experiment to give animals time to adjust. Behavioral analysis was conducted at baseline and/or at 24 h after intraperiotenial (i.p.) injection with α-Ly6G or isotype control antibodies (IP 4 mg/kg; α-Ly6G, clone 1A8, No. 561005; Iso-Ctr, Rat IgG2a, κ, No. 553929; BD Biosciences). Animals were 9–10 months of age at the start of the experiment. The experimenter was not blinded to genotype or treatment while conducting the behavioral assays, but all analysis was done by a different, blinded researcher.

The OR task evaluated spatial memory performance. All pairs of objects used for this experiment were tested previously in an independent cohort of mice to avoid any object or position bias.²⁰ Exploration time was defined as any time when there was physical contact with the object (whisking, sniffing, rearing on, or touching the object) or when the animal was oriented toward the object and the head was within 2 cm of the object. In trial 1, mice were allowed to explore two identical objects for 10 min in the arena and then returned to their home cage for 60 min. Mice were then returned to the testing arena for 3 min with one object moved to a novel location (trial 2). Care was taken to ensure that the change of placement altered both the intrinsic relationship between the objects (e.g. a rotation of the moved object) and the position of the moved object relative to visual cues (each wall of the testing arena had a distinct pattern). After each trial, the arena and objects were cleaned using 70% ethanol. The preference score (%) for OR the task quantifies the degree of preference the mouse shows for the moved object and was calculated as ([exploration time of the moved object]/[exploration time of both objects]) × 100 from the data in trial 2.

The Y-Maze task was used to measure working memory by quantifying spontaneous alternation between arms of the maze. The Y-maze consisted of three arms at 120° and was made of light grey plastic. Each arm was 6-cm wide and 36-cm long and had 12.5-cm high walls. The maze was cleaned with 70% ethanol after each mouse. A mouse was placed in the Y-maze and allowed to explore for 6 min. A mouse was considered to have entered an arm if the whole body (except for the tail) entered the arm and to have exited if the whole body (except for the tail) exited the arm. If an animal consecutively entered three different arms, it was counted as an alternating trial. Because the maximum number of such alternating triads is the total number of arm entries minus 2, the spontaneous alternation score (%) was calculated as (the number of alternating triads)/(the total number of arm entries − 2) × 100.

Behavioral data for the OR and Y-maze tasks were quantified in two ways. First, the position of the nose and body of the mice was traced using Viewer III software (Biobserve, Bonn, Germany), and these positions were used together with the criteria described above to automatically score behavior. In addition, the videos were manually scored, again using the criteria described above, by a blinded experimenter. Automated tracking and manual scoring yielded similar results across all groups, so we report the automated tracking results.

Surgical preparation and in vivo imaging of blood flow and vessel diameter

The surgery and in vivo two-photon microscopy were performed as previously described.²⁰ In brief, a 6-mm diameter craniotomy was prepared over parietal cortex and covered by gluing a glass coverslip to the skull. Animals rested for at least three weeks before imaging to minimize the impact of post-surgical inflammation. During the imaging session, mice were placed on a custom stereotactic frame and were anesthetized using ∼1.5% isoflurane in 100% oxygen, with small adjustments to the isoflurane level made to maintain the respiratory rate at ∼1 Hz. The mouse was kept at 37℃ with a feedback-controlled heating pad (40-90-8D DC, FHC). After being anesthetized and every hour during the experiment, mice received a sub-cutaneous injection of atropine (0.005 mg/100 g mouse weight; 54925-063-10, Med Pharmex) to prevent lung secretions and of 5% glucose in saline (1 mL/100 g mouse weight) to prevent dehydration. Texas Red dextran (40 µl, 2.5%, molecular weight = 70,000 kDa, Thermo Fisher Scientific) in saline was injected retro-orbitally just prior to imaging to label the vasculature. Mice were imaged on a locally designed two-photon excited fluorescence (2PEF) microscope, using 900-nm, femtosecond duration laser pulses for excitation (Vision II, Coherent) and collecting Texas-Red emission through an interference filter with a center wavelength of 640 nm and a 75-nm bandwidth. We collected three-dimensional image stacks and identified penetrating arterioles based on their connectivity to readily-identifiable surface arterioles and by determining their flow direction using the motion of unlabeled red blood cells in the sea of fluorescently labeled blood plasma. In each mouse, we identified 6–10 penetrating arterioles and took small three-dimensional image stacks to determine the diameter as well as line-scans along the centerline of the vessel to determine red blood cell flow speed.²⁹ These measures were taken at baseline and ∼1 h after injection of α-Ly6G or isotype control antibodies (IP 4 mg/kg). The experimenter was not blinded to genotype or treatment while conducting these imaging studies, but quantification of capillary stalling was done by a different, blinded researcher, while flow speed measurements rely on an automated, batch processing algorithm.

Quantification of capillary stalling

The image stacks were masked using ImageJ (NIH) to block the image regions where signal-to-noise was poor or where dura vessels were visible and were then preprocessed to remove motion artifacts and median filtered to reduce noise. The vasculature network in each image stack was segmented using a deep convolutional neural network followed by a post-processing procedure to extract the vectorized vasculature network.³⁰ Two blinded experimenters then manually classed each capillary segment in these networks as either flowing or stalled. This classification is based on the fact that RBCs and other blood cells show up as dark patches in the vessel lumen because only the blood plasma was labeled with the intravenously injected dye. The motion of the dark patches formed by blood cells indicates a flowing vessel segment. Each capillary segment was visible in a minimum of ∼5 successive frames in the 3D image stack, or for ∼5 s. Capillary segments were counted as stalled if no motion was detected over this observation time.

Statistical analysis

Behavioral data and measurements of changes in vessel diameter and blood flow were plotted using Tukey boxplots, where the box contains the middle two quartiles of the data, the whiskers extend 1.5 times the difference between the 75th and 25th percentiles, the black line defines the median, and the red line defines the mean, which is calculated excluding any outliers that sit outside the whiskers. Normality was tested with the D’Agostino-Pearson test and the data for each measurement of each group were found to be normally distributed. The statistical significance of differences between groups was evaluated by one-way analysis of variance (ANOVA) followed by pairwise comparisons using the multiple-comparison corrected Holm-Šídák test. To compare baseline blood flow (Figure 4(b)), flow speed was fit to vessel diameter using linear regression and the models compared for APP/PS1 and WT mice. P-values <0.05 were considered statistically significant. All statistical analyses were performed using Prism7/8 software (GraphPad Software) or JMP Pro 14 (SAS Institute Inc.).

Results

To evaluate how far into disease development increasing blood flow can improve cognitive symptoms in mouse models of AD, we treated APP/PS1 mice every two months with antibodies against Ly6G (α-Ly6G; 4 mg/kg animal weight, i.p.) or with isotype control antibodies (Iso-Ctr; 4 mg/kg, i.p.) and measured the impact on spatial and working memory. To control for the impact of repeated antibody treatment, the APP/PS1 mice were broken into two cohorts, each alternating between α-Ly6G and Iso-Ctr at successive treatments beginning with Group 1 (APP/PS1) receiving α-Ly6G and Group 2 (APP/PS1) receiving Iso-Ctr antibodies (Figure 1). A third cohort mice, Group 3 (WT) received α-Ly6G at each treatment as a control. Animals began the study at 9–10 months of age, when short-term memory deficits first become evident in APP/PS1 mice.³¹ For the first two time points (10–11 and 12–13 months of age), cognitive testing was performed both before and one day after antibody administration, while for the subsequent four time points, cognitive testing was done only one day after antibody administration. Previous work by us²⁰ and others³² showed that circulating neutrophil counts are sharply reduced one day after treatment with this dose of α-Ly6G.

Figure 1.

Experimental time line. Mice were divided into three groups: Group 1 (APP/PS1, blue), Group 2 (APP/PS1, red) and Group 3 (WT, green). At the first two timepoints (10–11 and 12–13 months of age), all groups of mice were tested using Y-maze and object replacement tests before and one day after treatment with α-Ly6G or Iso-Ctr antibodies. At subsequent time points, behavioral testing was done only one day after antibody treatment. Groups 1 (blue) and 2 (red) of APP/PS1 mice alternated between treatment with α-Ly6G and Iso-Ctr at each time point, as indicated, while Group 3 (green) of WT mice always received α-Ly6G. After the last behavioral testing at 20–21 months of age, the APP/PS1 mice were randomly regrouped and mice received a chronic craniotomy to enable measurement of blood flow speed in penetrating arterioles using 2PEF imaging. Blood flow was measured before and 1 h after treatment with α-Ly6G or Iso-Ctr antibodies in APP/PS1 mice, while WT mice all received α-Ly6G.

We used two tests of short-term memory, the Y-maze and the OR test. The OR test measures spatial memory by characterizing how much mice explore a novel placement of an object.³³ This is measured by first exposing mice to one spatial arrangement of two objects and then, after a 1-h delay, quantifying the fraction of object exploration time mice spend on one object that has been moved to a novel location (Figure 2(a)). For WT mice, about 60–75% of the time exploring the two objects will be spent on the moved object. The Y-maze measures working memory by characterizing how often mice explore areas where they have not been recently.³⁴ This is measured by the percentage of entries into each arm of the three-arm maze that are part of an exploration that alternate between all three arms, called spontaneous alternation. For WT mice, 60–70% arm entries are part of such a spontaneous alternation triad.

Figure 2.

A single treatment with α-Ly6G restores spatial short-term memory one day after injection in APP/PS1 mice as old as 14–15 months of age. (a) Tracking of mouse nose location from video recording during training and trial phases of OR task taken one day after administration of α-Ly6G or Iso-Ctr antibodies in APP/PS1 mice at 14–15 months of age. (b) Preference score for OR of APP/PS1 and WT mice at baseline and at one day after a single administration of α-Ly6G or Iso-Ctr antibodies at different ages. (c) Preference score one day after treatment for individual animals from each group across age. Black line shows the median trend for each group. Blue shading indicates treatment at that time point with α-Ly6G, while no shading indicates treatment with Iso-Ctr antibodies. (d) Time spent at the replaced object measured over 3 min for APP/PS1 and WT mice at baseline and at one day after a single administration of α-Ly6G or isotype control antibodies across animal age. (Group 1 (blue) APP/PS1: 10 mice; Group 2 (red) APP/PS1: 10 mice; Group 3 (green) WT: 11 mice; D’Agostino-Pearson was performed for normality followed by one-way ANOVA and Holms-Sidak’s multiple comparison; *p < 0.05, **p < 0.01, ***p < 0.001. All boxplots are defined as: whiskers extend 1.5 times the difference between the value of the 75th and 25th percentile, median = black line and mean = red line.)

In baseline measurements with 10–11 and 12–13-month-old mice, we found a significant impairment of APP/PS1 mice (both Group 1 and Group 2) on both OR (Figure 2(b)) and Y-maze tests (Figure 3(a)), as compared to WT mice (Group 3). Notably, APP/PS1 mice from Group 1, which received α-Ly6G treatment at 10–11 months of age, showed deficits in both cognitive tests in the baseline measurement at 12–13 months of age, suggesting there was not a long-term cognitive impact of a single dose of α-Ly6G.

Figure 3.

A single treatment with α-Ly6G restores working memory one day after injection in APP/PS1 mice as old as 16–17 months of age. (a) Spontaneous alternation in Y-maze task for APP/PS1 and WT mice at baseline and at one day after a single administration of α-Ly6G or Iso-Ctr antibodies at different ages. (b) Spontaneous alternation one day after treatment for individual animals from each group across age. Black line shows the median trend for each group. Blue shading indicates treatment at that time point with α-Ly6G, while no shading indicates treatment with Iso-Ctr antibodies. (c) Number of arm entries for APP/PS1 and WT mice at baseline and at one day after a single administration of α-Ly6G or isotype control antibodies across animal age. (Group 1 (blue) APP/PS1: 10 mice; Group 2 (red) APP/PS1: 10 mice; Group 3 (green) WT: 11 mice; D’Agostino-Pearson was performed for normality followed by one-way ANOVA and Holms-Sidak’s multiple comparison; *p < 0.05, **p < 0.01, ***p < 0.001. All boxplots are defined as: whiskers extend 1.5 times the difference between the value of the 75th and 25th percentile, median = black line and mean = red line.)

Figure 4.

Administration of antibodies against Ly6G decreased capillary stalling and increased CBF in APP/PS1 mice at 21–22 months of age. (a) Individual cortical brain capillaries were scored as flowing or stalled based on the motion of unlabeled blood cells (black) within the fluorescently labeled blood plasma (red). (Scale bar in images: 15 µm). (b) Fraction of capillaries with stalled blood flow ∼1 h after α-Ly6G or Iso-Ctr antibody administration in WT and APP/PS1 mice (APP/PS1 α-Ly6G: 4 mice; APP/PS1 Iso-Ctr: 3 mice; WT α-Ly6G: 4 mice; comparison of baseline APP/PS1 to baseline WT with a Mann–Whitney test; comparison of baseline and post-treatment APP/PS1 α-Ly6G with a Wilcoxon matched-pairs signed rank test; *p < 0.05; The red lines indicate the means.). (c) 2PEF images of cortical surface blood vessels and line scan data from penetrating arterioles (indicated with red box) from APP/PS1 mice taken at baseline and 1 h after treatment with α-Ly6G or Iso-Ctr antibodies. Scale bar in images: 20 µm. Scale bars are indicated in baseline line scan images and post treatment line scans are on same scale. (d) Scatter plot of baseline blood flow speed vs. vessel diameter for penetrating arterioles from 21 to 22-month-old WT mice (red) and 21-22-month-old APP/PS1 mice (blue). (APP/PS1: 55 arterioles across 11 mice; WT: 28 arterioles across 5 mice) (e) Vessel diameter, (f) RBC flow speed, and (g) Volumetric blood flow from penetrating arterioles after α-Ly6G or isotype control antibody administration in 20–21 months old APP/PS1 mice and WT control animals, shown as a fraction of baseline. (APP/PS1 α-Ly6G: 34 arterioles across 4 mice; APP/PS1 Iso-Ctr: 21 arterioles across 3 mice; WT α-Ly6G: 28 arterioles across 4 mice; D’Agostino-Pearson was performed for normality followed by one-way ANOVA and Holms-Sidak’s multiple comparison; *p < 0.05. All boxplots are defined as: whiskers extend 1.5 times the difference between the value of the 75th and 25th percentile, median = black line and mean = red line.)

APP/PS1 mice from both Groups 1 and 2 showed significantly improved cognitive performance one day after α-Ly6G treatment on the OR test at ages between 10–11 and 14–15 months of age (Figure 2(b) and (c)) and on the Y-maze test at ages between 10–11 and 16–17 months of age (Figure 3(a) and (b)), as compared to the corresponding Iso-Ctr-treated APP/PS1 mice at each time point. In the OR task, there was no difference in α-Ly6G and Iso-Ctr-treated APP/PS1 mice for animals older than 16–17 months and there was a trend toward decreased performance in WT animals, as well (Figure 2(b) and (c)). In the Y-maze test, no difference between α-Ly6G and Iso-Ctr treated APP/PS 1 mice was observed for animals older than 18–19 months, and rather both groups of APP/PS1 showed slightly improved performance, irrespective of treatment. The performance of WT mice on the Y-maze test did not change with age (Figure 3(a) and (b)). All mice showed decreased exploration time in the OR test with increasing age and more repetitions of the task (Figure 2(d)), while all mice maintained steady levels of arm entries in the Y-maze task (Figure 3(c)). Taken together, this suggests some saturation with this many repeats of the OR task (despite the use of new objects and object locations for each repetition), but no saturation of the Y-maze test. Nonetheless, there was still sufficient object exploration time in all repeats of the OR test to score the object preference.

In previous work, we used ASL-MRI to show that cortical perfusion was reduced by about 17% in APP/PS1 mice, as compared to WT controls, and that treatment with α-Ly6G in six to eight-month-old APP/PS1 mice led to a 13% increase in cortical perfusion, recovering about 2/3 of the blood flow deficit these mice exhibited relative to WT controls.²⁰ Using optical approaches to measure blood flow speed in individual cortical vessels, we also showed that the median blood flow speed in penetrating arterioles increased by ∼30% in 3–4 and 11–14-month-old APP/PS1 mice within an hour of treatment with α-Ly6G.²⁰ This increase in CBF was correlated with a rapid improvement in short-term memory in APP/PS1 mice after α-Ly6G treatment. We wanted to understand if the loss of the rapid rescue of cognitive function after α-Ly6G treatment in older APP/PS1 shown here was a result of α-Ly6G treatment no longer leading to a reduction in the number of capillary stalls and thus to improved CBF. We implanted chronic cranial windows and used two-photon excited fluorescence microscopy to measure the number of stalled and flowing capillary segments and blood flow speed in individual penetrating arterioles in all groups of mice when they reached 20–21 months of age. We used four WT mice and pooled the APP/PS1 mice from Groups 1 and 2, identified seven animals with high-quality craniotomies, split them into two groups (α-Ly6G, four mice; Iso-Ctr, three mice), and took cortical image stacks and blood flow measurements before and ∼1 h after treatment with α-Ly6G or Iso-Ctr antibodies. We counted the number of stalled capillaries (Figure 4(a)) in 20/21-month-old animals and found that about 1.1% of capillaries in APP/PS1 mice had stalled blood flow, while WT littermates had 0.3% of capillaries not flowing (Figure 4(b)). After a single injection of α-Ly6G (4 mg/kg animal weight, intraperitoneal), there was a trend towards a reduced number of capillary stalls in APP/PS1 mice, with a 58% reduction in the fraction of capillaries that were not flowing ( p = 0.12, Wilcoxon matched-pairs signed rank test). Neither APP/PS1 mice treated with Iso-Ctr antibodies nor WT animals receiving α-Ly6G showed changes in capillary stall numbers (Figure 4(b)). We further evaluated blood flow in cortical penetrating arterioles by measuring their diameter and using line-scans to quantify RBC motion (Supplementary Figure 1). We found a trend toward baseline blood flow speeds being about 14% lower, on average, in penetrating arterioles from aged APP/PS1 as compared to aged WT mice (Figure 4(c) and (d); p = 0.15, least squares fit of speed vs. diameter for APP/PS1 and WT mice). Treatment with α-Ly6G or isotype control antibodies did not, on average, change the diameter of penetrating arterioles in APP/PS1 or WT mice (Figure 4(e)). There was a trend toward increased blood flow speed (Figure 4(f); p = 0.07, one-way ANOVA with Holms-Sidak’s multiple comparison correction) and a significant increase of ∼17% in the median volumetric blood flow in individual penetrating arterioles (Figure 4(g); p = 0.04, one-way ANOVA with Holms-Sidak’s multiple comparison correction) in APP/PS1 mice treated with α-Ly6G, but not in WT mice treated with α-Ly6G or in APP/PS1 mice receiving isotype control antibodies.

Discussion

This study aimed to identify the stages of disease progression in which short-term memory was acutely improved after a single treatment with α-Ly6G in APP/PS1 mice. In previous work, we showed that there are an increased number of transiently stalled capillaries in the cortex of APP/PS1 mice from a few months to two years of age, as compared to WT mice, and that these stalls were caused by neutrophils adhered to the capillary endothelium. In APP/PS1 mice across a broad range of ages from 3 to 15 months, we further found that administering antibodies against the neutrophil surface protein Ly6G led to the capillary stalls resolving and CBF increasing within minutes. In mice that were 10–11 months of age, when short-term memory deficits first become evident in the APP/PS1 mice, a single treatment with α-Ly6G improved performance on spatial and working memory tasks within hours and this improvement persisted for at least one day.²⁰ Here, we extend this work in two important directions. First, we found that treatment with α-Ly6G still improved cortical blood flow in APP/PS1 mice even at an age of 21–22 months. Taken together with our previous results, these data suggest that CBF deficits in this AD mouse model are dominated by capillary stalling throughout the life of the mouse. Second, we demonstrated that administration of α-Ly6G led to improved short-term memory function one day after treatment in APP/PS1 mice as old as 15–16 months of age, but not in older animals.

The rapid improvement in short-term memory performance in APP/PS1 mice after increasing CBF with α-Ly6G treatment suggests that neuronal networks in the brain of these animals are still largely intact but have impaired function due to decreased CBF. Improving CBF in APP/PS1 mice could acutely impact the function of neurons and neuronal networks in several ways. The ∼20% CBF deficit APP/PS1 mice show relative to WT mice could impact neural function directly by interfering with normal metabolic homeostasis. Indeed, APP/PS1 mice have been shown to have deficits in glucose metabolism, mitochondrial function, and in ATP/ADP level regulation in astrocytes and neurons,^35–37 which could all impair neural function. Decreased CBF could also cause mild hypoxia, which has been shown to selectively suppress the activity of inhibitory neurons, leading to hyperactivity in hippocampal networks that is associated with impaired cognitive performance.^38–40 Supporting this idea, hyperactivity and epileptiform-like neural activity have been observed in APP/PS1 mice.⁴¹ Impaired CBF may also interfere with the synaptic plasticity necessary for learning and memory, and recent work has shown that synaptic plasticity is impaired as early as six months of age in APP/PS1 mice.⁴² The acute improvement in cognitive performance after α-Ly6G we observed is likely due to increased CBF rescuing some of these effects. However, treatment with α-Ly6G may have additional effects that influence brain function beyond increasing CBF, such as decreasing the infiltration of neutrophils into the brain and thus decreasing inflammation that may impact neural function.⁴³

The fact that a single treatment with α-Ly6G still released capillary stalls and improved CBF in APP/PS1 mice as old as 21–22 months of age, but short-term memory was not improved in mice older than 15–16 months of age suggests that other disease relevant mechanisms contributing to cognitive dysfunction become more prominent at advanced stages of disease development. For example with increasing age and disease progression, structural abnormalities, such as dystrophic neurites,⁴⁴ reduced synaptic plasticity,⁴⁵ synaptic loss,⁴² metabolic dysfunction,⁴⁶ and the death of neurons and other brain cells become more prominent in APP/PS1 mice,⁴⁷ effects which an acute improvement in CBF would not be expected to rescue. The cumulative effect of many AD-related pathologies drives cognitive impairment, but cognitive improvement could be achieved by addressing only a subset of these pathologies, which may vary with disease progression. Our data show that increasing only CBF leads to rapid and dramatic improvements in memory performance in early and middle, but not late, stages of disease progression in this APP-overexpression mouse model and with this set of short-term memory tests. Our data does not rule out the possibility that improving CBF over a longer period of time by, for example, repeat injections of α-Ly6G could lead to improvements in cognitive function in APP/PS1 older than 15–16 months of age.

A surprising finding in this work and our previous studies is the large increase in CBF (17% in this study) caused by inhibiting neutrophil adhesion to reduce an already-small incidence of non-flowing capillaries (1.1% in this study).²⁰ This outsized impact on CBF primarily results from the up- and down-stream impacts of a single non-flowing capillary. Previous work showed that the occlusion of a single capillary using femtosecond laser ablation leads to vessels 1, 2, or 3 branches downstream from the capillary occlusion being slowed to 10, 25, and 50% of baseline, respectively.⁴⁸ Simply adding these downstream effects implies a ∼11% decrease in CBF due to 1.1% of capillaries being stalled. In addition, it is likely that the increased neutrophil adhesion that causes the capillary stalls also leads to slower, but not stalled, flow in capillary segments when a neutrophil is present. Finally, we have previously shown by computational flow modeling of mouse and human cortical vascular networks that capillary stalls lead to similar levels of CBF reduction across these species.²⁰

One caveat to these studies is the fact that we have measured CBF changes in the cortex, while the behavioral assays we used are primarily considered to be hippocampal-dependent tasks. The behavioral tests were selected because they show a reliable short-term memory deficit in APP/PS1 mice, can be repeated in the same animals multiple times, and do not require any training, which is well suited to a longitudinal study. On the other hand, tools with sufficient spatial resolution to quantify capillary stalling and measure blood flow in the hippocampus of mice remain outside the range of current technical capabilities (with the exception of using highly invasive cortical excavation, which we were concerned would produce too much confounding surgical trauma). It is possible that capillary stalling and the resulting blood flow deficit differ in timing and magnitude in the hippocampus as compared to the cortex, where we have measured it, and this could contribute to lack of improved memory performance in the older animals after α-Ly6G treatment. There also remains the possibility of an α-Ly6G-dependent change in hippocampal and brain function that is not dependent on capillary stalling.

Crucial remaining questions include whether the same mechanisms discussed here contribute to CBF reductions in AD patients and whether CBF increases could improve cognitive function in AD patients, at least in earlier stages of disease progression. In AD mouse models, we have shown that nearly all of the CBF deficit is due to leukocytes adhering to endothelial cells in brain capillaries, suggesting that vascular inflammation, induced by the toxic effects of amyloid-beta overexpression, is the ultimate cause. Chronic neuroinflammation is a well-recognized feature of AD in humans. In addition, recent work has specifically documented increased expression of inflammatory factors, including ICAM-1, VCAM-1, and TNF-α in brain endothelial cells from aged and AD patients.^49,50 Thus, the vascular inflammation that could lead to leukocyte adhesion and stalled blood flow in capillaries is present in AD patients. In the retina, a parallel story has already been established, where vascular inflammation secondary to diabetic retinopathy causes leukocyte adherence in retinal vessels that decreases retinal blood flow.^51–53 If the blood flow deficits in AD patients are similarly caused by leukocyte adhesion in brain microvessels, therapeutic approaches that may decrease vascular inflammation or inhibit leukocyte adhesion should be pursued. As to the question of whether increasing CBF will improve cognition in AD patients, data from the last decade correlating slower cognitive decline with higher CBF suggest there is reason for hope.^11,12 In support of this, limited studies in AD patients where a piece of omentum was surgically placed on the brain surface led to increased brain blood flow that was correlated to improvements in memory function.⁵⁴

Supplemental Material

Supplemental material for Increasing cerebral blood flow improves cognition into late stages in Alzheimer’s disease mice

Supplemental Material for Increasing cerebral blood flow improves cognition into late stages in Alzheimer’s disease mice by Oliver Bracko, Brendah N Njiru, Madisen Swallow, Muhammad Ali, Mohammad Haft-Javaherian and Chris B Schaffer in Journal of Cerebral Blood Flow & Metabolism

Footnotes

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Institutes of Health grant AG049952 (CBS), the BrightFocus Foundation (CBS), and the DFG German Research Foundation (OB).

Acknowledgements

We thank Nancy E. Ruiz-Uribe and Laibaik Park for critically reading this manuscript.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Authors’ contributions

OB and CBS conceived the study. OB, BN, MS and MA conducted the behavioral studies and did data analyses. OB performed the in vivo imaging experiments. MH developed custom machine learning algorithms for image segmentation. OB and CBS wrote the paper. All authors edited and commented on the manuscript.

Supplemental material

Supplemental material for this article is available online.

References

Iadecola

. The neurovascular unit coming of age: a journey through neurovascular coupling in health and disease. Neuron 2017; 96: 17–42.

Strickland

. Blood will out: vascular contributions to Alzheimer’s disease. J Clin Invest 2018; 128: 556–563.

Dopper

Chalos

Ghariq

, et al. Cerebral blood flow in presymptomatic MAPT and GRN mutation carriers: a longitudinal arterial spin labeling study. Neuroimage Clin 2016; 12: 460–465.

Chen

Rosas

Salat

. Age-associated reductions in cerebral blood flow are independent from regional atrophy. Neuroimage 2011; 55: 468–478.

Leoni

Oliveira

Pontes-Neto

, et al. Cerebral blood flow and vasoreactivity in aging: an arterial spin labeling study. Braz J Med Biol Res 2017; 50: e5670.

Hays

Zlatar

Wierenga

. The utility of cerebral blood flow as a biomarker of preclinical Alzheimer’s disease. Cell Mol Neurobiol 2016; 36: 167–179.

Kogure

Matsuda

Ohnishi

, et al. Longitudinal evaluation of early Alzheimer’s disease using brain perfusion SPECT. J Nucl Med 2000; 41: 1155–1162.

Okonkwo

, et al. Cerebral blood flow is diminished in asymptomatic middle-aged adults with maternal history of Alzheimer’s disease. Cereb Cortex 2014; 24: 978–988.

Iturria-Medina

Sotero

Toussaint

, et al. Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis. Nat Commun 2016; 7: 11934.

10.

Nation

Wierenga

Clark

, et al. Cortical and subcortical cerebrovascular resistance index in mild cognitive impairment and Alzheimer’s disease. J Alzheimers Dis 2013; 36: 689–698.

11.

Yoon

Park

Jeong

, et al. Correlation between neuropsychological tests and hypoperfusion in MCI patients: anatomical labeling using xjView and Talairach Daemon software. Ann Nucl Med 2012; 26: 656–664.

12.

Bangen

Clark

Edmonds

, et al. Cerebral blood flow and amyloid-beta interact to affect memory performance in cognitively normal older adults. Front Aging Neurosci 2017; 9: 181.

13.

Bangen

Restom

Liu

, et al. Assessment of Alzheimer’s disease risk with functional magnetic resonance imaging: an arterial spin labeling study. J Alzheimers Dis 2012; 31(Suppl 3): S59–S74.

14.

Heo

Prakash

Voss

, et al. Resting hippocampal blood flow, spatial memory and aging. Brain Res 2010; 1315: 119–127.

15.

Xekardaki

Rodriguez

Montandon

, et al. Arterial spin labeling may contribute to the prediction of cognitive deterioration in healthy elderly individuals. Radiology 2015; 274: 490–499.

16.

Wiesmann

Zerbi

Jansen

, et al. Hypertension, cerebrovascular impairment, and cognitive decline in aged AbetaPP/PS1 mice. Theranostics 2017; 7: 1277–1289.

17.

Niwa

Kazama

Younkin

, et al. Alterations in cerebral blood flow and glucose utilization in mice overexpressing the amyloid precursor protein. Neurobiol Dis 2002; 9: 61–68.

18.

Guo

Inoue

, et al. Vascular and parenchymal amyloid pathology in an Alzheimer disease knock-in mouse model: interplay with cerebral blood flow. Mol Neurodegener 2014; 9: 28.

19.

Rudin

Klohs

. Cortical hypoperfusion and reduced cerebral metabolic rate of oxygen in the arcAbeta mouse model of Alzheimer’s disease. Photoacoustics 2018; 10: 38–47.

20.

Cruz Hernández

Bracko

Kersbergen

, et al. Neutrophil adhesion in brain capillaries reduces cortical blood flow and impairs memory function in Alzheimer’s disease mouse models. Nat Neurosci 2019; 22: 413–420.

21.

Choi

Bylykbashi

Chatila

, et al. Combined adult neurogenesis and BDNF mimic exercise effects on cognition in an Alzheimer’s mouse model. Science 2018; 361: eaan8821.

22.

Wang

, et al. Chronic cerebral hypoperfusion induces memory deficits and facilitates Abeta generation in C57BL/6 J mice. Exp Neurol 2016; 283: 353–364.

23.

Hattori

Enmi

Iguchi

, et al. Gradual carotid artery stenosis in mice closely replicates hypoperfusive vascular dementia in humans. J Am Heart Assoc 2016; 5: e002757.

24.

Kisler

Nelson

Montagne

, et al. Cerebral blood flow regulation and neurovascular dysfunction in Alzheimer disease. Nat Rev Neurosci 2017; 18: 419–434.

25.

Hachinski

Iliff

Zilhka

, et al. Cerebral blood flow in dementia. Arch Neurol 1975; 32: 632–637.

26.

Rogers

Meyer

Mortel

, et al. Decreased cerebral blood flow precedes multi-infarct dementia, but follows senile dementia of Alzheimer type. Neurology 1986; 36: 1–6.

27.

Kilkenny

Browne

Cuthill

, et al. Animal research: reporting in vivo experiments–the ARRIVE guidelines. J Cereb Blood Flow Metab 2011; 31: 991–993.

28.

Jankowsky

Fadale

Anderson

, et al. Mutant presenilins specifically elevate the levels of the 42 residue beta-amyloid peptide in vivo: evidence for augmentation of a 42-specific gamma secretase. Hum Mol Genet 2004; 13: 159–170.

29.

Santisakultarm

Cornelius

Nishimura

, et al. In vivo two-photon excited fluorescence microscopy reveals cardiac- and respiration-dependent pulsatile blood flow in cortical blood vessels in mice. Am J Physiol Heart Circ Physiol 2012; 302: H1367–1377.

30.

Haft-Javaherian

Fang

Muse

, et al. Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models. PLoS One 2019; 14: e0213539.

31.

Serneels

Van Biervliet

Craessaerts

, et al. gamma-Secretase heterogeneity in the Aph1 subunit: relevance for Alzheimer’s disease. Science 2009; 324: 639–642.

32.

Daley

Thomay

Connolly

, et al. Use of Ly6G-specific monoclonal antibody to deplete neutrophils in mice. J Leukoc Biol 2008; 83: 64–70.

33.

Vogel-Ciernia

Wood

. Examining object location and object recognition memory in mice. Curr Protoc Neurosci 2014; 69: 8.31.1–17.

34.

Bak

Pyeon

Seok

, et al. Effect of rotation preference on spontaneous alternation behavior on Y maze and introduction of a new analytical method, entropy of spontaneous alternation. Behav Brain Res 2017; 320: 219–224.

35.

Kang

Lee

. Metabolism-centric overview of the pathogenesis of Alzheimer’s disease. Yonsei Med J 2017; 58: 479–488.

36.

Venkat

Chopp

Chen

. New insights into coupling and uncoupling of cerebral blood flow and metabolism in the brain. Croat Med J 2016; 57: 223–228.

37.

Pathak

Berthet

Nakamura

. Energy failure: does it contribute to neurodegeneration? Ann Neurol 2013; 74: 506–516.

38.

Zhao

Gong

. From chronic cerebral hypoperfusion to Alzheimer-like brain pathology and neurodegeneration. Cell Mol Neurobiol 2015; 35: 101–110.

39.

Miller

Fenstermacher

Bates

, et al. Hippocampal activation in adults with mild cognitive impairment predicts subsequent cognitive decline. J Neurol Neurosurg Psychiatry 2008; 79: 630–635.

40.

Haberman

Branch

Gallagher

. Targeting neural hyperactivity as a treatment to stem progression of late-onset Alzheimer’s disease. Neurotherapeutics 2017; 14: 662–676.

41.

Busche

Wegmann

Dujardin

, et al. Tau impairs neural circuits, dominating amyloid-beta effects, in Alzheimer models in vivo. Nat Neurosci 2019; 22: 57–64.

42.

Viana da Silva

Haberl

Zhang

, et al. Early synaptic deficits in the APP/PS1 mouse model of Alzheimer’s disease involve neuronal adenosine A2A receptors. Nat Commun 2016; 7: 11915.

43.

Zenaro

Pietronigro

Della Bianca

, et al. Neutrophils promote Alzheimer’s disease-like pathology and cognitive decline via LFA-1 integrin. Nat Med 2015; 21: 880–886.

44.

Blanchard

Moussaoui

Czech

, et al. Time sequence of maturation of dystrophic neurites associated with Abeta deposits in APP/PS1 transgenic mice. Exp Neurol 2003; 184: 247–263.

45.

Gelman

Palma

Tombaugh

, et al. Differences in synaptic dysfunction between rTg4510 and APP/PS1 mouse models of Alzheimer’s disease. J Alzheimers Dis 2018; 61: 195–208.

46.

Clarke

Ribeiro

Frozza

, et al. Metabolic dysfunction in alzheimer’s disease: from basic neurobiology to clinical approaches. J Alzheimers Dis 2018; 64: S405–S426.

47.

Leroy

Ando

Laporte

, et al. Lack of tau proteins rescues neuronal cell death and decreases amyloidogenic processing of APP in APP/PS1 mice. Am J Pathol 2012; 181: 1928–1940.

48.

Nishimura

Schaffer

Friedman

, et al. Targeted insult to subsurface cortical blood vessels using ultrashort laser pulses: three models of stroke. Nat Methods 2006; 3: 99–108.

49.

Smyth

LCD

Rustenhoven

Park

, et al. Unique and shared inflammatory profiles of human brain endothelia and pericytes. J Neuroinflammation 2018; 15: 138.

50.

Grammas

Ovase

. Inflammatory factors are elevated in brain microvessels in Alzheimer’s disease. Neurobiol Aging 2001; 22: 837–842.

51.

Burgansky-Eliash

Nelson

Bar-Tal

, et al. Reduced retinal blood flow velocity in diabetic retinopathy. Retina 2010; 30: 765–773.

52.

Bek

Ledet

. Vascular occlusion in diabetic retinopathy. A qualitative and quantitative histopathological study. Acta Ophthalmol Scand 1996; 74: 36–40.

53.

Muir

Renteria

Duong

. Reduced ocular blood flow as an early indicator of diabetic retinopathy in a mouse model of diabetes. Invest Ophthalmol Vis Sci 2012; 53: 6488–6494.

54.

Goldsmith

. Alzheimer’s disease can be treated: why the delay? Surg Neurol Int 2017; 8: 133.

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