Abstract
Wolfram syndrome (WS) is a monogenic progressive neurodegenerative disease and is characterized by various neurological symptoms, such as optic nerve atrophy, loss of vision, cognitive decline, memory impairment, and learning difficulties. GLP1 receptor agonist liraglutide and BDNF mimetic 7,8-dihydroxyflavone (7,8-DHF) have had protective effect to visual pathway and to learning and memory in different rat models of neurodegenerative disorders. Although synergistic co-treatment effect has not been reported before and therefore the aim of the current study was to investigate liraglutide, 7,8-DHF and most importantly for the first time their co-treatment effect on degenerative processes in WS rat model. We took 9 months old WS rats and their wild-type (WT) control animals and treated them daily with liraglutide, 7,8-DHF or with the combination of liraglutide and 7,8-DHF up to the age of 12.5 months (n = 47, 5–8 per group). We found that liraglutide, 7,8-DHF and their co-treatment all prevented lateral ventricle enlargement, improved learning in Morris Water maze, reduced neuronal inflammation, delayed the progression of optic nerve atrophy, had remyelinating effect on optic nerve and thereby improved visual acuity in WS rats compared to WT controls. Thus, the use of the liraglutide, 7,8-DHF and their co-treatment could potentially be used as a therapeutic intervention to induce neuroprotection or even neuronal regeneration.
Subject terms: Diseases of the nervous system, Learning and memory, Molecular neuroscience, Neural ageing, Regeneration and repair in the nervous system, Metabolic disorders, Biomarkers, Optic nerve diseases, Neurological disorders, Neurodegeneration, Neurodegenerative diseases
Introduction
Wolfram syndrome (WS) is a rare monogenic neurodegenerative disease and is mainly characterized by diabetes mellitus, optic nerve atrophy, and neurodegeneration1,2. All the previously mentioned symptoms are also present in the WS rat model as described by our research group3. We have shown that GLP1 receptor agonist liraglutide has a beneficial effect in the WS rat. Early treatment with liraglutide was effective to prevent the development of diabetic phenotype in WS rats4. Furthermore, 6-month liraglutide treatment reduced neuroinflammation, cellular stress and excitotoxicity in the brainstem of the aged WS rats5. So far, all conducted animal experiments have shown that liraglutide delays WS progression but unfortunately, liraglutide does not restore already lost functions. Therefore, additional supporting therapies to liraglutide that are capable to reverse the course of disease are essential to develop.
Recent research has shown that neurotrophic factors are potential molecules that could inhibit or even reverse neurodegeneration. Brain-derived neurotrophic factor (BDNF) activates tropomyosin related kinase B (TrkB) membrane receptors and thereby is involved in the regulation of neuronal development, synaptic plasticity, and protection from oxidative stress and apoptosis6. However, BDNF use is limited in clinical practice because its short in vivo half-life and its inability to cross the blood–brain barrier7. Hence, small molecules acting as BDNF mimetics have been characterized. 7,8-dihydroxyflavone (7,8-DHF) was found as a naturally occurring flavone acting as a TrkB receptor agonist8. In contrast to earlier findings 7,8-DHF was recently found to be unable to reproduce TrkB receptor activation and TrkB-dependent downstream signaling in vitro. Therefore, it was suggested that in vivo 7,8-DHF induced transactivation of TrkB is possibly mediated through other pathways9. Regardless of the molecular pathway, since the discovery of 7,8-DHF several studies have confirmed 7,8-DHF neuroprotective effect in vitro and in vivo. In retinal cells 7,8-DHF treatment protected against excitotoxicity and oxidative stress10, ameliorated high-glucose induced diabetic apoptosis11 and protected immature retinas against hypoxic-ischemic injury via Müller glia regeneration and MAPK/ERK activation12. Additionally, it has been shown that in vivo 7,8-DHF improves the spatial learning and memory in cognitively impaired aged rats13 and prevents synaptic loss and memory deficits in a mouse model of Alzheimer’s disease14. The therapeutic value of neurotrophic factors has never been reported in connection with WS and therefore the aim of this study was to investigate potential therapeutic effect of 7,8-DHF alone, or in combination with liraglutide in a rat model of WS.
Results
3.5-month treatment with the GLP-1 receptor agonist liraglutide delayed the progression of hyperglycemia in Wfs1 KO animals
In agreement with previous studies4,5 liraglutide treatment induced a slight decrease of body weight during the first week of treatment in animals of both genotypes (Fig. 1a,b), this effect of liraglutide was not affected by 7,8-DHF co-treatment. Treatment with 7,8-DHF alone had no effect on body weight (Fig. 1a,b).
As expected, and in agreement with previous studies3–5, older Wfs1 KO rats developed fasting hyperglycemia (p < 0.05) (Fig. 1c) and treatment with 7,8-DHF was not preventing an increase in blood glucose levels. However, treatment with liraglutide or with liraglutide in combination with 7,8-DHF prevented the development of hyperglycemia in Wfs1 KO rats (Fig. 1c).
Co-treatment with liraglutide and 7,8-DHF improved visual acuity in Wfs1 KO rats
Visual acuity as measured by optokinetic response was lower in 9 months old Wfs1 KO rats as compared to WT rats of the same age (p < 0.05) (Fig. 2a). At the age of 11.5 months the difference between genotypes increased (p < 0.01) (Fig. 2b). Treatment with liraglutide, 7,8-DHF or with their combination kept Wfs1 KO animals’ visual acuity at the same level with WT control animals (Fig. 2b). There were no statistically significant changes in the cataract score (Fig. 2c). Surprisingly, repeated measures ANOVA revealed that co-treatment with liraglutide and 7,8-DHF improved visual acuity in Wfs1 KO rats during the treatment (p < 0.01) (Fig. 2d). Following Morris water maze experiment was performed under the assumption that no animals used in this study had lost their vision.
3.5-month treatment with liraglutide, 7,8-DHF or with their combination delayed the progression of optic nerve atrophy in Wfs1 KO animals
To reveal ultrastructural changes in optic nerves, transmission electron microscopy (TEM) was performed, and illustrative micrographs are seen in Fig. 3. To evaluate changes in optic nerve axons’ size we performed optic nerve axon size distribution analysis (Fig. 3i). Vehicle treated Wfs1 KO animals have significant increase of smaller axons with average axon size 0.25 μm2 and decrease of larger axons with average axon size > 3 μm2. Treatment with liraglutide, 7,8-DHF or liraglutide and 7,8-DHF sifted the size distribution to WT animals levels, whereas axon calibers larger than 3 μm2 could not be rescued.
Optic nerve fiber consists of axon and of the surrounding myelin sheath. To evaluate area-based g-ratio, both the axon area and the surrounding myelin area were measured. Optic nerve axons area per field of view (FOV) was most drastically decreased in vehicle treated Wfs1 KO rats (p < 0.001) (Fig. 3j). Treatment with liraglutide, 7,8-DHF or their combination prevented such decrease (p < 0.05). Moreover, Wfs1 KO rats treated with the combination of liraglutide and 7,8-DHF showed increased axon area per FOV compared to vehicle treated Wfs1 KO animals (p < 0.05) (Fig. 3j). Myelin area per FOV was not changed between groups (Fig. 3k). Area based g-ratio (axon area divided by axon area plus myelin area) was lower in vehicle treated Wfs1 KO rats compared to vehicle treated WT animals (p < 0.05) (Fig. 3l). As myelin area was not changed, G-ratio decrease could be the result of axonal degeneration that is also confirmed by reduced axon area per FOV.
3.5-month treatment with liraglutide, 7,8-DHF or liraglutide and 7,8-DHF prevents optic nerve fiber degeneration and induces remyelination
Our next goal was to determine degenerating fibers with severe pathological phenotypes based on criteria described in methods sections (Fig. 4a–f). We observed no difference between WT animals treatment groups (Fig. 4g). The ratio of optic nerve fiber with a pathological alteration in the myelin and axonal structure is significantly increased in Wfs1 KO vehicle group compared to WT vehicle (p < 0.05). Treatment with liraglutide, 7,8-DHF or liraglutide and 7,8-DHF reduced the ratio of degenerating optic nerve fibers compared to vehicle treated Wfs1 KO animals (p < 0.05) which indicates a protective effect of all treatments (Fig. 4g).
In order to quantify remyelinating axons, the optic nerve fibers must display the following distinctive features: few myelin lamellae and the large inner tongue process containing decompacted myelin15 as presented on Fig. 4 micrographs h–o. In WT animals, the ratio of remyelinating fibers stayed relatively constant between different treatments (Fig. 4p). Vehicle treated Wfs1 KO rats optic nerves display a significantly lower ratio of remyelinating axons compared to WT animals (p < 0.05) (Fig. 4p). Liraglutide treatment increased remyelinating optic nerve fibers in Wfs1 KO animals when compared to vehicle treatment (p < 0.05) (Fig. 4p). 7.8-DHF treatment also tend to increase remyelinating optic nerve fibers in Wfs1 KO animals (p = 0.057) (Fig. 4p). The co-treatment with liraglutide and 7,8-DHF increased remyelinating optic nerve fibers at most in Wfs1 KO animals (p < 0.01) (Fig. 4p).
Wfs1 KO rats show impairment in learning
In Morris water maze experiment, during training session Wfs1 KO rats needed more time to reach the platform as compared to WT rats (p < 0.01) (Fig. 5a). In WT animals drug treatment had no effect on the performance (Fig. 5d). Time to reach the platform was decreased in 7,8-DHF treated Wfs1 KO animals compared to vehicle treated Wfs1 KO animals during training session (p < 0.01, Fig. 5g). In agreement with an increased time to reach the platform during training session, Wfs1 KO rats spent also less time in the target quadrant as compared to WT rats (p < 0.01) (Fig. 5b). Drug treatments had no effect on the percent of time spent in the target quadrant during training phase in rats of both genotypes (Fig. 5e,h). There were no statistically significant changes in the swimming speed during the training session of Morris water maze experiment regardless of genotype and treatment (Fig. 5c,f,i). On the probe day of Morris water maze, Wfs1 KO rats from the vehicle group spent more time searching for the platform as compared to WT vehicle treated rats (p < 0.05) (Fig. 5j). Liraglutide, 7,8-DHF or their combination improved Wfs1 KO animals’ performance (p < 0.01) (Fig. 5j). Wfs1 KO rats spent significantly less time in target quadrant as compared to WT animals (p < 0.01) (Fig. 5k). In agreement with the training session, on the probe day there were no changes in swimming speed regardless of the genotype (Fig. 5l). In summary, the results from Morris water maze suggest that Wfs1 KO rats indicate impairment in learning as shown by an increase in the time spent searching the platform (Fig. 5a,j) and a decrease in percentage of time spent in the target quadrant (Fig. 5b,k). Importantly, liraglutide, 7,8-DHF or their combination improved Wfs1 KO animals’ performance during the probe day.
Wfs1 KO rats show lateral ventricles enlargement
To investigate how liraglutide, 7,8-DHF or liraglutide and 7,8-DHF co-treatment can modulate the volume of hippocampus and lateral ventricles (Fig. 6a), in vivo Magnetic Resonance Imaging (MRI) analyses were performed at the beginning of the experiment and after three months of treatment.
T2-weighted in vivo MRI analysis revealed that hippocampal volume increased in 7,8-DHF treated Wfs1 KO animals with age (p < 0.01) (Fig. 6b) and no significant differences were observed in other treatment groups. The volume of lateral ventricles increased in vehicle treated Wfs1 KO animals (p < 0.05) (Fig. 6c), indicating an enlargement of lateral ventricles in Wfs1 KO animals, which is a common pathology of neurodegeneration16. Treatment with liraglutide, 7,8-DHF or liraglutide and 7,8-DHF prevented lateral ventricles from enlargement (Fig. 6c).
Our next purpose was to assess inflammation in the hippocampus, therefore inflammatory marker Ip10 levels were measured using gene expression analyses. Ip10 mRNA levels were elevated in vehicle treated Wfs1 KO animals compared to vehicle treated WT animals (p < 0.05) (Fig. 6d) and treatment with liraglutide, 7,8-DHF or liraglutide and 7,8-DHF prevented the elevation of inflammation marker Ip10 in the hippocampus. Additionally, a positive correlation was observed between Ip10 mRNA levels and lateral ventricles volume increase (R2 = 0.580, p < 0.05) (Fig. 6e).
Wfs1 KO rats show impaired gene expression in hippocampus
To investigate how liraglutide, 7,8-DHF or liraglutide and 7,8-DHF co-treatment can modulate the proliferation and cellular stress, we performed gene expression analyses of hippocampus, extracted from rats after 3 months of treatment, when the animals were 12.5 months old. The data were compared using factorial ANOVA test followed by Fisher’s LSD tests.
There was a tendency to downregulation of proliferation marker in Wfs1 KO rats (p = 0.067) (Fig. 7a) and treatment with 7,8-DHF protected Wfs1 KO animals’ hippocampus from proliferation downregulation. Tlr2 deficiency causes lateral ventricles enlargement17, therefore our aim was to evaluate Tlr2 levels in the hippocampus. Tlr2 mRNA levels were downregulated in all treatment groups compared to WT vehicle treated animals (p < 0.001) (Fig. 7b) and treatments had no effect in Wfs1 KO animals. In contrast to Tlr2 levels, Tlr4 mRNA levels stayed unchanged between genotypes; although liraglutide treatment increased Tlr4 mRNA levels in Wfs1 KO animals (p < 0.01) (Fig. 7c). Next, we found that in Wfs1 KO animals Chop mRNA levels are downregulated compared to WT littermates and surprisingly liraglutide, 7,8-DHF and their co-treatment decreased Chop mRNA expression in WT animals’ hippocampus (Fig. 7d).
Grp78 is the key mediator of the UPR pathway and it was downregulated in WT animals treated with 7,8-DHF (p < 0.01) (Fig. 7e). Grp78 was also downregulated in Wfs1 KO animals treated with liraglutide or with liraglutide and 7,8-DHF combination (p < 0.05) (Fig. 7e).
Expression of heme-oxygenase-1, Hmox1 which is an important marker of oxidative stress was elevated in WT animals treated with 7,8-DHF and liraglutide combination (p < 0.05) (Fig. 7f).
Discussion
The aim of this study was to investigate if BDNF mimetic 7,8-DHF alone or in the combination with GLP-1 receptor agonist liraglutide has a neuroprotective effect or even can induce regeneration in WS rat model. Therefore, we took 9 months old Wfs1 KO rats and their WT controls and treated them daily with vehicle solution, liraglutide, 7,8-DHF or with the combination of both liraglutide and 7,8-DHF up to the age of 12.5 months.
Liraglutide or liraglutide and 7,8-DHF co-treatment slightly reduced body weight in both genotypes during the first week of the treatment (Fig. 1a,b). 7,8-DHF treatment alone had no effect on body weight, although it has been shown that in vitro 7,8-DHF reduces fat production and fat buildup18. However, expected anti-obesity effect of 7,8-DHF was not observed in the current study. Additionally, a 3.5-month treatment with liraglutide or its co-treatment with 7,8-DHF prevented the progression of hyperglycemia in WS rats (Fig. 1c). Liraglutide antidiabetic effect is in agreement with our previous studies4,5. 7,8-DHF treatment alone had no effect on the diabetic phenotype, even though previous research has reported 7,8-DHF ability to lower fasting blood glucose19. Based on these results, 7,8-DHF is safe to use and does not affect the antidiabetic effect of liraglutide. Thus, co-treatment with 7,8-DHF and liraglutide may have greater neuroprotective effect than liraglutide alone, without affecting liraglutide beneficial effect on diabetic phenotype. This is important, as our main aim was to investigate the neuroprotective effect of 7,8-DHF alone or in combination with liraglutide.
Recently longitudinal follow up MR imaging has showed optic nerve atrophy development in time in a cohort of WS patients20 and additionally in WS post mortem study optic nerve degeneration in the inferior and temporal quadrants has been reported21. Similarly, we have described degenerative processes in 15-month-old WS rats’ optic nerves and resultant atrophy, although it is not known when the degenerative processes start, therefore we monitored in vivo changes in WS rats’ visual acuity over time. Visual acuity was already lower in 9 months old WS rats as compared to WT rats of the same age (Fig. 2a) and at the age of 11.5 months, WS rats’ visual acuity was even more deteriorated, which indicates clear degenerative processes in the visual pathway (Fig. 2b). Treatment with liraglutide, 7,8-DHF or with their combination kept WS rats’ visual acuity at the same level with WT control animals (Fig. 2b). Surprisingly, co-treatment synergistic effect was detected in improved visual acuity in WS rats (Fig. 2d). Liraglutide protective effect to visual pathway is in accordance with our previous results5 and 7,8-DHF has also shown to be sufficient to rescue visual function in a model of inherited blindness22.
Next, to reveal ultrastructural changes in optic nerve fibers ex vivo, transmission electron microscopy (TEM) was performed. We have shown degenerative processes in 15-month-old Wfs1 KO rats’ optic nerves3 and the following protective effect of liraglutide treatment5. Correspondingly, here we found decreased axon area per field of view (FOV) (Fig. 3j) in Wfs1 KO animals, which indicates optic nerve atrophy. Additionally, we observed a novel finding, axonal g-ratio was decreased in Wfs1 KO animals compared to WT control animals (Fig. 3l). The decrease in the value for g-ratio in Wfs1 KO animals could be explained by increased myelin area, which indicates degenerative processes in myelin, where myelin lamina decompacts (Fig. 3l). Based on well-established pathological characteristics and grading system of degenerating nerve fibers1 we describe increased ratio of degenerating fibers in vehicle treated Wfs1 KO rats optic nerves (Fig. 4g). Treatment of Wfs1 KO rats with liraglutide, 7,8-DHF, and co-treatment with liraglutide and 7,8-DHF halts optic nerve fiber degeneration which displays clear evidence for neuroprotection (Fig. 4g). These observations are in accordance with our previous study2. Similar effect of GLP1 receptor agonist is observed in the optic nerve crush model3. Additionally we performed morphometric analysis of remyelinating fibers which have the characteristics to fibers observed during the developmental period: thinned myelin sheaths accompanied by large inner tongue process1,4. Between the different treatments, the ratio of remyelinating fibers remained stable for WT animal optic nerves (Fig. 4p). In the Wfs1 KO animals, we observe severe decrease in remyelinating fibers, which could contribute to accelerated degeneration of the optic nerve. Based on morphometric analysis of the optic nerves treated with liraglutide and liraglutide and 7,8 DHF our results suggest induced remyelination in Wfs1 KO rats’ optic nerve fibers. Taken together, the increased prevalence of smaller axons (Fig. 3i,j) with degenerating optic nerve fiber, and disruption of myelin sheath integrity (Fig. 4a–g) are likely to be the cause of gradual loss of visual acuity as seen in 11.5 months old Wfs1 KO animals (Fig. 2b,d). Similarly, disruptions and abnormalities in axon caliber, myelin sheath integrity, and in visual function have been seen after partial injury to optic nerve23, which suggests a similar course of neurodegeneration in both cases. Treatment with liraglutide, 7,8-DHF and their combination were clearly protecting Wfs1 KO rats’ optic nerves and thus the animals maintained visual acuity similar to WT control animals.
All treatments have relatively similar neuroprotective effect on visual pathway, additionally co-treatment’s synergistic effect was detected in improved visual acuity (Fig. 2d), increased average axon area per FOV (Fig. 3j) and in the increased ratio of remyelinating axons (Fig. 4p). It seems that co-treatment is slightly more effective on visual pathway than the treatments solely. Although such synergistic co-treatment effect of liraglutide and 7,8-DHF has not been reported before and therefore these data must be interpreted with caution as further research is required to study this regenerating effect more precisely.
WS is also characterized by various neurological symptoms, such as cognitive decline, memory impairment, and learning difficulties24,25. As aging and neurodegeneration are mostly associated with a decrease in spatial memory and cognition, the purpose of the current study was to evaluate WS rats’ spatial learning abilities in Morris water maze experiment. WS rats needed more time to reach the platform on the probe day than WT controls, which indicates WS rats’ cognitive decline (Fig. 5j). Treatment with liraglutide, 7,8-DHF or their combination improved performance during the probe day (Fig. 5j). Thus, liraglutide and DHF improved the memory task. The present findings are consistent with other research which found that treatment with liraglutide26,27 or with 7,8-DHF13 was able to improve learning and memory in different rat models.
Reduced cognitive function is strongly correlated with hippocampal shrinkage16. Thus, we hypothesized that a decrease in the volume of hippocampus would be present in WS rats as well. Surprisingly, after three-month treatment the volume of hippocampus increased in 7,8-DHF treated WS rats and no significant differences were observed in other treatment groups (Fig. 6b). The increase in the volume of hippocampus could be related to increased neuronal proliferation as seen in increased Ki67 mRNA expression in 7,8-DHF treated WS rats (Fig. 7a). Additionally, there was a tendency to increased proliferation in 7,8-DHF treated WT controls. The disagreement between our results and the hypothesis that a decrease in the volume of hippocampus would be present in WS rats could be due to the young age of animals. Decreased volume of the hippocampus was shown in 14 months old rats28 while just 12 months old rats were used here, therefore atrophy of the hippocampus was not detected and possibly the shrinkage of the hippocampus begins later in life. The results on hippocampal volume in WS patients are rather controversial as a decrease in hippocampal volume was found in one study29, while no changes were observed in other studies30–32, therefore further research should be done to clarify this issue.
Next, we monitored changes in animals’ lateral ventricles volume over time. Quantitative in vivo MRI analysis revealed ventricular enlargement in WS rats (Fig. 6c). Ventricular enlargement results from brain parenchymal shrinkage33,34 and it is accompanied by aging28 and neurodegeneration35–37. Additionally ventricular volume increase is in correlation with cognitive decline38. Indeed, here we also found that WS rats have cognitive decline and their lateral ventricles volume has increased. Ventricular volume increase could indicate neuronal loss in tissues surrounding brain ventricles. Therefore, further research is required to study brain ventricles and the surrounding brain regions in more detail.
Since inflammation is accompanied with neurodegeneration, our next purpose was to assess the inflammatory response in the hippocampus. Inflammatory cytokine Ip10 mRNA expression was elevated in WS rats hippocampus (Fig. 6d), which indicates increased inflammation and is in agreement with our previous studies showing elevated inflammation in WS rats’ pancreatic beta cells3 and in the brainstem5. Additionally, there was a positive correlation between lateral ventricles volume increase and Ip10 mRNA expression (Fig. 6e). Increased expression of Ip10 is also reported in Alzheimer’s disease39. Treatment with liraglutide, 7,8-DHF or with their combination reduced Ip10 in Wfs1 KO animals’ hippocampus. Thus, suggesting that cellular inflammation is reduced in the hippocampus after treatment with liraglutide, 7,8-DHF or with their combination.
As our results showed that WS rats have cognitive impairment and ventricle enlargement, our aim was to evaluate Tlr2 levels in the hippocampus. Tlr2 mRNA levels were downregulated in WS rats (Fig. 7b) which support the association between Tlr2 deficiency and lateral ventricles volume increase. Similar increase in lateral ventricles volume and cognitive impairment was also observed in Tlr2 KO animals17. In contrast to Tlr2 levels, Tlr4 mRNA levels stayed unchanged between genotypes. Tlr2 deficiency in mice is associated with impaired hippocampal neurogenesis, whereas the absence of Tlr4 resulted in enhanced proliferation and neuronal differentiation40. Thus, our results confirm that Tlr2 and Tlr4 might have distinct and opposing functions. Furthermore, we found that Chop mRNA levels were downregulated in WS rats compared to WT controls (Fig. 7d). Chop deficiency is associated with increased cell apoptosis and impaired memory performance, it can thus be suggested that Chop has a protective role in the hippocampus41. Interestingly Grp78 expression was opposite between genotypes (Fig. 7e). In WT animals 7,8-DHF treatment decreased Grp78 expression while in WS rats, 7,8-DHF had no effect on Grp78 mRNA expression. Hmox1 is an important marker of oxidative stress and was elevated in WT animals treated with the combination of 7,8-DHF and liraglutide (Fig. 7f). Moreover, there was a tendency to increased Hmox1 levels in 7,8-DHF treatment groups in both genotypes and liraglutide treatment was not reversing 7,8-DHF effect. 7,8-DHF antioxidant properties could be possibly induced via upregulation of Nrf2-dependent Hmox1 expression42.
In summary we show here that treatment with liraglutide inhibited the development of diabetes in WS rats as seen in previous studies4,5. 7,8-DHF treatment alone had no effect on the diabetic phenotype, and importantly in co-treatment, 7,8-DHF was not affecting liraglutide beneficial effect on diabetic phenotype. Based on these results, 7,8-DHF and liraglutide co-treatment is safe and therefore neuroprotective effect in the visual pathway and in the hippocampus was investigated. WS rats had decline in visual acuity that lead to degenerative processes in 12.5 months old WS rats’ optic nerves. By the age of 12 months WS rats had also developed cognitive decline, ventricular enlargement and inflammation, these symptoms are also the symptoms of AD39,43–46, which suggests a similar course of neurodegeneration in both diseases. Treatment with liraglutide, 7,8-DHF co-treatment with liraglutide and 7,8-DHF was effective in preventing these neurodegeneration symptoms in WS rat. Importantly 7,8-DHF did not reverse liraglutide effect or vice versa and additionally 7,8-DHF and liraglutide co-treatment had synergistic effect as seen in improved visual acuity, increased axon area and increased number of remyelinating axons in WS rats. These results show that treatment with liraglutide, 7,8-DHF or co-treatment with liraglutide and 7,8-DHF had a neuroprotective effect in WS rats and thus may have a similar effect in WS patients.
Materials and methods
Animals
All experimental protocols were approved by the Estonian Project Authorisation Committee for Animal Experiments (No 155, 6th of January 2020), and all experiments were performed in accordance with the European Communities Directive of September 2010 (2010/63/EU) and the study was carried out in compliance with the ARRIVE guidelines.
Male Wfs1 KO and WT littermate control rats were used in this study. Animals’ breeding, genotyping, and housing conditions are described in our previous study3. The rats were 9 months old at the beginning of the experiment. Rats were randomly allocated into eight experimental groups: (WT VEH, n = 5; WT LIRA, n = 5; WT DHF, n = 5; WT LIRA + DHF, n = 6; KO VEH, n = 6; KO LIRA, n = 7; KO DHF, n = 7; KO LIRA + DHF, n = 8). Vehicle treated animals served as control animals. Different baseline between experimental groups in fasting blood glucose and in visual acuity can be explained with the fact that that rats were randomly allocated into eight experimental groups before the beginning of the treatment. There is usually increased variability in in vivo animal experiments; therefore, we used in fasting blood glucose, visual acuity and MRI volumetric measurements repeated measures and compared only the same animals’ data before and after.
Drugs were administered once a day between 8 and 11 a.m. Rats were weighed once a week, and their base blood sugar level was measured once a month from the tail vein using a handheld glucometer (Accu-Check Go, Roche, Germany). Liraglutide (LIRA) from commercially available pens (NovaNordisk) was diluted with 0,9% saline and injected s.c. at a dose 0.4 mg/kg, vehicle (0.9% saline) was administered in a volume 1 ml/kg. BDNF mimetic 7,8-dihydroxyflavone (7,8-DHF, catalog # D1916, Tokyo Chemical Industry CO Ltd, Tokyo, Japan) was first dissolved in DMSO (at concentration 400 mg/ml), and this DMSO solution was further diluted 1:20 with PEG-300/PBS mix (1:1). Final composition of 7,8-DHF injection solution was 20 mg/ml 7,8-DHF in 5% DMSO, 47.5% PEG-300, 47.5%PBS. The drug or the corresponding vehicle (VEH) was administered subcutaneously in a volume of 0.25 ml/kg, dose of 7,8-DHF was 5 mg/kg.
To avoid hyperglycemia-induced symptoms, supportive insulin treatment (100 IU/ml, Levemir, Novo Nordisk, Denmark) was initiated in hyperglycemic Wfs1 KO rats. Animals with a blood glucose level of 10 mmol/L or more received 2 IU/kg insulin and animals with a blood glucose level of 20 mmol/L or more received 6 IU/kg insulin twice per day injected subcutaneously.
Within 24 h after the last injection, the animals were sacrificed with an intraperitoneal injection of Euthasol vet (dose 300 mg/kg). Hippocampus was dissected, washed quickly with 0.9% saline and snap frozen in liquid nitrogen. Tissue samples were stored at -80 °C until analysis.
Visual acuity estimation
To measure visual acuity, a virtual optomotor task (OptoMotry, Cerebral Mechanics Inc) was used. The animal was placed inside the test chamber platform surrounded by four 19″ computer monitors displaying vertical sinusoidal gratings with the animal's viewpoint at the center of a ‘virtual cylinder’. Animal head was maintained at the center of the virtual cylinder and the grating was rotated 12°/s to induce head movements in the same direction as the visual motion. The operator selects YES or NO depending on if there was head-tracking behavior or not to follow the moving gratings. If operator was selecting YES, the grating frequency was increased, but rotation speed remained the same. Using a OptoMotry HD 2.1 software and manufacturer validated single frequency threshold staircase protocol, head-tracking behavior was protocolled until there were no movements, which indicates the maximum visual acuity threshold (in cycles per degree; c/d) of the animal as the highest grating frequency on which the animal was responding. Clockwise rotation was detected by the left eye and anti-clockwise rotation by the right eye. Visual acuity data are presented as the mean of clockwise and anti-clockwise testing47,48.
Transmission electron microscopy
The optic nerves from each animal were immersion-fixed in 2.5% glutaraldehyde (AppliChem)/4% paraformaldehyde (Merck)/90 mM Na-cacodylate solution (AppliChem) and kept at 4 °C until further washed with 90 mM Na-cacodylate buffer (pH 7.4). Nerves were subsequently fixed in a reduced 1% OsO4 (AppliChem) solution containing 1% potassium ferrocyanide (Roch)/90 mM Na-cacodylate for 2 days at 4 °C. Subsequently, nerves were washed with 90 mM Na-cacodylate, dehydrated in graded ethanol series and embedded in epoxy resin (medium hardness, TAAB) according to manufacturer's protocol. Preparation of epoxy embedded nerves for electron microscopy were performed as described previously3. Electron microscopic analysis of specimens was performed using a Tecnai G2 Spirit TWIN/BioTWIN transmission electron microscope (FEI, Netherlands).
Analysis and morphometric evaluation of optic nerve fibers
Images for morphometric evaluation and nerve fiber measurements were captured with pixel size corresponding to 0. (4) × 0. (4) nm giving the field of view of 220.472 μm2. Cross sections of nerves were divided into 10–11 non-overlapping random regions to minimize the variation in fiber size distributions. On average 1200 nerve fibers were counted from individual rats (4–7 animals from each group) whereas only fibers whose contour was completely within field of view were counted. All nerve fiber and axon measurements were performed using Fiji software49. Axon area measurements were performed on binned (binning factor 10 × 10) and gaussian blurred (sigma radius 3) images using Fiji plugin AxonJ50. Average axon area per field of view was calculated as sum of individual axon areas per field of view. Average myelin areas were measured as the area of black pixels in binary converted images per field of view. Area based g-ratio (axon area divided by axon area plus myelin area) were used.
Nerve fibers were considered degenerating if one or more following pathological manifestations were present: severe outfoldings and infoldings of the myelin sheath leading to constriction of axoplasm; axonal vacuolization; severe hypermyelination leading to axonal compression/atrophy; abnormally electron dense/lucent axoplasm; myelin lamellae breakdown accompanied by axonal atrophy. Following parameters were taken and supplemented from15. Ratios of degenerating fibers were calculated as the ratio of degenerating fibers to all counted fibers per field of view.
In order to quantify remyelinating axons the fibers must display the following distinctive features few myelin lamellae and the large inner tongue process containing decompacted myelin lamellae as described15. Remyelinating fibers were calculated as the ratio to all counted fibers per field of view.
Morris water maze
The rats were allowed to adapt to experimental room for two hours on the experiment days46. The water maze consisted of 180 cm diameter plastic pool filled with water at room temperature (20–22 °C). The escape platform (diameter, 14 cm; height, 29 cm) was placed on a fixed position in the center of one quadrant, 35 cm from the perimeter, and was hidden 1 cm beneath the water surface. Six black and white cues were fixed around water maze. Water was painted black using tempera paint to allow automatic video recording of albino rats using EthoVision software (Noldus Information Technology, Wageningen, the Netherlands). Acquisition phase lasted four days and four trials per day were performed. On each trial, animal was placed into the pool at pseudo-random location facing the wall of the pool. Rats were allowed to find a platform during 60 s session and were guided to the platform if failed to find the platform. Rats had to remain on the platform for 30 s before they were rescued and placed on the cage filled with paper towels. Next session started after 60 s rest period. Latency to find the platform, time in target quadrant and swimming speed was recorded during acquisition phase. The platform was removed on the probe day (day 5 of the experiment), rats were released at unfamiliar location (same for all animals) and allowed to search for platform for 60 s. Time to find the platform, percentage of time in target quadrant and swimming speed was recorded.
In vivo magnetic resonance imaging
9- and 12-months old rats in vivo magnetic resonance imaging was performed as described previously by our group3. The volume of hippocampus was segmented manually using ITK-SNAP (V3.6.0)51. The Scalable Brain Atlas52 was used to determine the segmentation start, for the hippocampus, segmentation began from bregma − 1.45 mm and continued to − 5.82 mm until reaching the most caudal end of the thalamus. In all animals, the hippocampus was measured on consecutive 10 slices. From the same images, lateral ventricles were delineated based on the nearly saturated bright signal in T2-weighted images from bregma – 3.32 mm to – 4.57 mm.
RNA isolation, cDNA synthesis and gene expression analyses
The hippocampus was homogenized using Precellys lysing Kit CK14 (Bertin Instruments) and Precellys homogenizer (Bertin Instruments). RNA from hippocampus was isolated using Direct-zol RNA MiniPrep (Zymo Research), according to the manufacturer’s protocol. SuperScrip III Reverse Transcriptase (Invitrogen, USA) and random hexamers were used to synthesize cDNA according to the manufacturer’s protocol. Taqman Gene Expression Mastermix (Thermo Fisher Scientific) and following TaqMan Gene Expression Assays were used for real-time quantitative PCR: Ip10 (Rn01413889_g1), Ki67 (Rn01451446_m1), Tlr2 (Rn02133647_s1), Tlr4 (Rn00569848_m1), Chop (Rn00492098_g1), Grp78 (Rn00565250_m1) and Hmox1 (Rn00561387_m1). Hprt1 (Rn01527840_m1) was used as an internal control and 2−∆Ct method was used for relative quantification.
Data analysis
GraphPad Prism version 5 software (GraphPad Software Inc., San Diego, CA, USA) and STATISTICA 8 package (StatSoft Inc, Tulsa, OK, USA) was used for statistical analysis. The data were compared using repeated measures ANOVA followed by Bonferroni post hoc tests or factorial ANOVA followed by Fisher’s LSD tests. Data are presented as means and standard error of the mean (SEM), p value less than 0.05 was considered statistically significant.
Acknowledgements
This research was supported by grant PSG471 (Mario Plaas) from Estonian Research Council and by the European Union through the European Regional Development Fund (Project No. 2014-2020.4.01.15-0012).
Author contributions
M.Pl. conceived and directed the study. M.Pl., A.T. and K.S. designed the experiments. M.Pl., A.T., T.J., M.Pa., R.R. and K.S. performed animal experiments. K.S. performed gene expression analysis. K.S. conducted MRI experiments. K.S., K.G.K. performed the analysis of MRI data. T.J. performed electron microscopy of optic nerves and corresponding data analysis. K.S., M.Pl. and A.T. participated in analysis and interpretation of the data. K.S. wrote the manuscript. All the authors have read and approved the final version of the manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Kadri Seppa, Email: kadri.seppa@ut.ee.
Mario Plaas, Email: mario.plaas@ut.ee.
References
- 1.Barrett TG, Bundey SE. Wolfram (DIDMOAD) syndrome. J. Med. Genet. 1997;34:838–841. doi: 10.1136/jmg.34.10.838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Inoue H, et al. A gene encoding a transmembrane protein is mutated in patients with diabetes mellitus and optic atrophy (Wolfram syndrome) Nat. Genet. 1998;20:143–148. doi: 10.1038/2441. [DOI] [PubMed] [Google Scholar]
- 3.Plaas M, et al. Wfs1- deficient rats develop primary symptoms of Wolfram syndrome: insulin-dependent diabetes, optic nerve atrophy and medullary degeneration. Sci. Rep. 2017;7:10220. doi: 10.1038/s41598-017-09392-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Toots M, et al. Preventive treatment with liraglutide protects against development of glucose intolerance in a rat model of Wolfram syndrome. Sci. Rep. 2018;8:10183. doi: 10.1038/s41598-018-28314-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Seppa K, et al. GLP-1 receptor agonist liraglutide has a neuroprotective effect on an aged rat model of Wolfram syndrome. Sci. Rep. 2019;9:15742. doi: 10.1038/s41598-019-52295-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Cerquone Perpetuini A, Mathoux J, Kennedy B. The potential of small molecule brain-derived neurotrophic factor: mimetics to treat inherited retinal degeneration. Neural Regen. Res. 2019;14:85. doi: 10.4103/1673-5374.243711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Poduslo, J. F. & Curran, G. L. Permeability at the blood-brain and blood-nerve barriers of the neurotrophic factors: NGF, CNTF, NT-3 BDNF. Mol. Brain Res.36, 280–286 (1996). [DOI] [PubMed]
- 8.Jang S-W, et al. A selective TrkB agonist with potent neurotrophic activities by 7,8-dihydroxyflavone. Proc. Natl. Acad. Sci. 2010;107:2687–2692. doi: 10.1073/pnas.0913572107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Boltaev, U. et al. Multiplex quantitative assays indicate a need for reevaluating reported small-molecule TrkB agonists. Sci. Signal.10, eaal1670 (2017). [DOI] [PubMed]
- 10.Gupta VK, You Y, Li JC, Klistorner A, Graham SL. Protective effects of 7,8-dihydroxyflavone on retinal ganglion and RGC-5 cells against excitotoxic and oxidative stress. J. Mol. Neurosci. 2013;49:96–104. doi: 10.1007/s12031-012-9899-x. [DOI] [PubMed] [Google Scholar]
- 11.Yu X, Liu Q, Wang X, Liu H, Wang Y. 7,8-Dihydroxyflavone ameliorates high-glucose induced diabetic apoptosis in human retinal pigment epithelial cells by activating TrkB. Biochem. Biophys. Res. Commun. 2018;495:922–927. doi: 10.1016/j.bbrc.2017.11.007. [DOI] [PubMed] [Google Scholar]
- 12.Huang H-M, Huang C-C, Tsai M-H, Poon Y-C, Chang Y-C. Systemic 7,8-dihydroxyflavone treatment protects immature retinas against hypoxic-ischemic injury via müller glia regeneration and MAPK/ERK activation. Investig. Opthalmology Vis. Sci. 2018;59:3124. doi: 10.1167/iovs.18-23792. [DOI] [PubMed] [Google Scholar]
- 13.Zeng Y, et al. 7,8-dihydroxyflavone rescues spatial memory and synaptic plasticity in cognitively impaired aged rats: Spatial memory and synaptic plasticity in rats. J. Neurochem. 2012;122:800–811. doi: 10.1111/j.1471-4159.2012.07830.x. [DOI] [PubMed] [Google Scholar]
- 14.Zhang Z, et al. 7,8-Dihydroxyflavone Prevents Synaptic Loss and Memory Deficits in a Mouse Model of Alzheimer’s Disease. Neuropsychopharmacology. 2014;39:638–650. doi: 10.1038/npp.2013.243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Xie F, Liang P, Fu H, Zhang J-C, Chen J. Effects of normal aging on myelin sheath ultrastructures in the somatic sensorimotor system of rats. Mol. Med. Rep. 2014;10:459–466. doi: 10.3892/mmr.2014.2228. [DOI] [PubMed] [Google Scholar]
- 16.Apostolova LG, et al. Hippocampal atrophy and ventricular enlargement in normal aging, mild cognitive impairment (MCI), and Alzheimer Disease. Alzheimer Dis. Assoc. Disord. 2012;26:17–27. doi: 10.1097/WAD.0b013e3182163b62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Park SJ, et al. Toll-like receptor-2 deficiency induces schizophrenia-like behaviors in mice. Sci. Rep. 2015;5:8502. doi: 10.1038/srep08502. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Choi JW, et al. 7,8-Dihydroxyflavone inhibits adipocyte differentiation via antioxidant activity and induces apoptosis in 3T3-L1 preadipocyte cells. Life Sci. 2016;144:103–112. doi: 10.1016/j.lfs.2015.11.028. [DOI] [PubMed] [Google Scholar]
- 19.Chan CB, et al. Activation of muscular TrkB by its small molecular agonist 7,8-dihydroxyflavone sex-dependently regulates energy metabolism in diet-induced obese mice. Chem. Biol. 2015;22:355–368. doi: 10.1016/j.chembiol.2015.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Samara A, Lugar HM, Hershey T, Shimony JS. Longitudinal assessment of neuroradiologic features in wolfram syndrome. Am. J. Neuroradiol. 2020;41:2364–2369. doi: 10.3174/ajnr.A6831. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ross-Cisneros FN, et al. Optic nerve histopathology in a case of Wolfram syndrome: a mitochondrial pattern of axonal loss. Mitochondrion. 2013;13:841–845. doi: 10.1016/j.mito.2013.05.013. [DOI] [PubMed] [Google Scholar]
- 22.Daly C, et al. A brain-derived neurotrophic factor mimetic is sufficient to restore cone photoreceptor visual function in an inherited blindness model. Sci. Rep. 2017;7:11320. doi: 10.1038/s41598-017-11513-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Payne SC, Bartlett CA, Harvey AR, Dunlop SA, Fitzgerald M. Myelin sheath decompaction, axon swelling, and functional loss during chronic secondary degeneration in rat optic nerve. Invest. Ophthalmol. Vis. Sci. 2012;53:6093–6101. doi: 10.1167/iovs.12-10080. [DOI] [PubMed] [Google Scholar]
- 24.Chaussenot A, et al. Neurologic features and genotype-phenotype correlation in Wolfram syndrome. Ann. Neurol. 2011;69:501–508. doi: 10.1002/ana.22160. [DOI] [PubMed] [Google Scholar]
- 25.Swift RG, Sadler DB, Swift M. Psychiatric findings in Wolfram syndrome homozygotes. Lancet Lond. Engl. 1990;336:667–669. doi: 10.1016/0140-6736(90)92157-D. [DOI] [PubMed] [Google Scholar]
- 26.Yang Y, et al. Liraglutide improves cognitive impairment via the AMPK and PI3K/Akt signaling pathways in type 2 diabetic rats. Mol. Med. Rep. 2018;18:2449–2457. doi: 10.3892/mmr.2018.9180. [DOI] [PubMed] [Google Scholar]
- 27.Zhang Y, et al. Liraglutide ameliorates hyperhomocysteinemia-induced Alzheimer-like pathology and memory deficits in rats via multi-molecular targeting. Neurosci. Bull. 2019;35:724–734. doi: 10.1007/s12264-018-00336-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Hamezah HS, et al. Volumetric changes in the aging rat brain and its impact on cognitive and locomotor functions. Exp. Gerontol. 2017;99:69–79. doi: 10.1016/j.exger.2017.09.008. [DOI] [PubMed] [Google Scholar]
- 29.Zmyslowska, A. et al. Central Nervous System PET-CT Imaging Reveals Regional Impairments in Pediatric Patients with Wolfram Syndrome. PLoS ONE9, (2014). [DOI] [PMC free article] [PubMed]
- 30.Hershey, T. et al. Early Brain Vulnerability in Wolfram Syndrome. PLoS ONE7, (2012). [DOI] [PMC free article] [PubMed]
- 31.Hilson JB, Merchant SN, Adams JC, Joseph JT. Wolfram syndrome: a clinicopathologic correlation. Acta Neuropathol. (Berl.) 2009;118:415–428. doi: 10.1007/s00401-009-0546-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Lugar, H. M. et al. Neuroimaging evidence of deficient axon myelination in Wolfram syndrome. Sci. Rep.6, (2016). [DOI] [PMC free article] [PubMed]
- 33.Fox NC, et al. Progressive cerebral atrophy in MS: a serial study using registered, volumetric MRI. Neurology. 2000;54:807–812. doi: 10.1212/WNL.54.4.807. [DOI] [PubMed] [Google Scholar]
- 34.Lepore, S. et al. Enlargement of Cerebral Ventricles as an Early Indicator of Encephalomyelitis. PLoS ONE8, (2013). [DOI] [PMC free article] [PubMed]
- 35.Carmichael OT, et al. Ventricular volume and dementia progression in the Cardiovascular Health Study. Neurobiol. Aging. 2007;28:389–397. doi: 10.1016/j.neurobiolaging.2006.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Jack CR, et al. Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD. Neurology. 2004;62:591–600. doi: 10.1212/01.WNL.0000110315.26026.EF. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Thompson PM, et al. Mapping hippocampal and ventricular change in Alzheimer disease. NeuroImage. 2004;22:1754–1766. doi: 10.1016/j.neuroimage.2004.03.040. [DOI] [PubMed] [Google Scholar]
- 38.Carmichael OT, et al. Cerebral ventricular changes associated with transitions between normal cognitive function, mild cognitive impairment, and dementia: Alzheimer Dis. Assoc. Disord. 2007;21:14–24. doi: 10.1097/WAD.0b013e318032d2b1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Xia MQ, Bacskai BJ, Knowles RB, Qin SX, Hyman BT. Expression of the chemokine receptor CXCR3 on neurons and the elevated expression of its ligand IP-10 in reactive astrocytes: in vitro ERK1/2 activation and role in Alzheimer’s disease. J. Neuroimmunol. 2000;108:227–235. doi: 10.1016/S0165-5728(00)00285-X. [DOI] [PubMed] [Google Scholar]
- 40.Rolls A, et al. Toll-like receptors modulate adult hippocampal neurogenesis. Nat. Cell Biol. 2007;9:1081–1088. doi: 10.1038/ncb1629. [DOI] [PubMed] [Google Scholar]
- 41.Chen C-M, Wu C-T, Chiang C-K, Liao B-W, Liu S-H. C/EBP homologous protein (CHOP) deficiency aggravates hippocampal cell apoptosis and impairs memory performance. PLoS ONE. 2012;7:e40801. doi: 10.1371/journal.pone.0040801. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Choi JW, Lee J, Park YI. 7,8-Dihydroxyflavone attenuates TNF-α-induced skin aging in Hs68 human dermal fibroblast cells via down-regulation of the MAPKs/Akt signaling pathways. Biomed. Pharmacother. 2017;95:1580–1587. doi: 10.1016/j.biopha.2017.09.098. [DOI] [PubMed] [Google Scholar]
- 43.Chou Y-Y, et al. Mapping correlations between ventricular expansion and CSF amyloid and tau biomarkers in 240 subjects with Alzheimer’s disease, mild cognitive impairment and elderly controls. NeuroImage. 2009;46:394–410. doi: 10.1016/j.neuroimage.2009.02.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Nestor SM, et al. Ventricular enlargement as a possible measure of Alzheimer’s disease progression validated using the Alzheimer’s disease neuroimaging initiative database. Brain. 2008;131:2443–2454. doi: 10.1093/brain/awn146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Dubois B, et al. Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria. Lancet Neurol. 2014;13:614–629. doi: 10.1016/S1474-4422(14)70090-0. [DOI] [PubMed] [Google Scholar]
- 46.Pini L, et al. Brain atrophy in Alzheimer’s disease and aging. Ageing Res. Rev. 2016;30:25–48. doi: 10.1016/j.arr.2016.01.002. [DOI] [PubMed] [Google Scholar]
- 47.Prusky GT, Alam NM, Beekman S, Douglas RM. Rapid quantification of adult and developing mouse spatial vision using a virtual optomotor system. Investig. Opthalmology Vis. Sci. 2004;45:4611. doi: 10.1167/iovs.04-0541. [DOI] [PubMed] [Google Scholar]
- 48.Douglas RM, et al. Independent visual threshold measurements in the two eyes of freely moving rats and mice using a virtual-reality optokinetic system. Vis. Neurosci. 2005;22:677–684. doi: 10.1017/S0952523805225166. [DOI] [PubMed] [Google Scholar]
- 49.Schindelin J, et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods. 2012;9:676–682. doi: 10.1038/nmeth.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Zarei K, et al. Automated axon counting in rodent optic nerve sections with axon. J Sci. Rep. 2016;6:26559. doi: 10.1038/srep26559. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Yushkevich PA, et al. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. NeuroImage. 2006;31:1116–1128. doi: 10.1016/j.neuroimage.2006.01.015. [DOI] [PubMed] [Google Scholar]
- 52.Bakker R, Tiesinga P, Kötter R. The scalable brain atlas: instant web-based access to public brain atlases and related content. Neuroinformatics. 2015;13:353–366. doi: 10.1007/s12021-014-9258-x. [DOI] [PMC free article] [PubMed] [Google Scholar]