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Comment by: Name Withheld
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Submitted 19 March 2010
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Posted 19 March 2010
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[Editor's note: The Alzforum occasionally allows industry scientists to post comments without attribution to avoid lengthy internal review requirements.]
Takeda et al. have made a very important step forward in capturing the interaction between type 2 diabetes and Alzheimer disease in a transgenic animal model. This work provides a great opportunity to identify the mechanisms by which insulin resistance accelerates dementia symptoms and similarly to explain how APP metabolism exacerbates the diabetic phenotype.
Building on evidence from Suzanne Craft, Siegfried Hoyer, Greg Cole, Suzanne de la Monte, and others, Dr. Morishita and colleagues have tested a specific hypothesis that peripheral insulin resistance causes a rapid deterioration in cognitive function in mice that overexpress APP. Eight-week-old double-transgenic mice (APP+ - ob/ob) show a profound deficit in the Morris water maze that is not observed in either single transgenic line. The inability of these mice to learn the water maze cannot be explained by diabetes-induced visual impairment. Intriguingly, this...
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[Editor's note: The Alzforum occasionally allows industry scientists to post comments without attribution to avoid lengthy internal review requirements.]
Takeda et al. have made a very important step forward in capturing the interaction between type 2 diabetes and Alzheimer disease in a transgenic animal model. This work provides a great opportunity to identify the mechanisms by which insulin resistance accelerates dementia symptoms and similarly to explain how APP metabolism exacerbates the diabetic phenotype.
Building on evidence from Suzanne Craft, Siegfried Hoyer, Greg Cole, Suzanne de la Monte, and others, Dr. Morishita and colleagues have tested a specific hypothesis that peripheral insulin resistance causes a rapid deterioration in cognitive function in mice that overexpress APP. Eight-week-old double-transgenic mice (APP+ - ob/ob) show a profound deficit in the Morris water maze that is not observed in either single transgenic line. The inability of these mice to learn the water maze cannot be explained by diabetes-induced visual impairment. Intriguingly, this deficit is apparent prior to plaque deposition, and levels of soluble and insoluble Aβ were found to be indistinguishable from the APP23 parental line.
Importantly, the authors support this finding in a second mouse model of diabetes (NSY mice). The effect is much less pronounced in this model, perhaps because the NSY mice have impaired peripheral insulin secretion, while ob/ob mice show severe insulin insensitivity due to a deficiency in leptin signaling in the hypothalamus.
Nevertheless, the authors clearly demonstrate that the two diseases are interacting. For instance, Aβ shows an accelerated deposition along the cerebral vasculature, and RAGE, which has been implicated in both diabetes and AD pathology, is upregulated by three months of age. Similarly, APP overexpression induced an increase in circulating glucose and a profound insulin insensitivity compared to the ob/ob parental line. A key piece to this puzzle may prove to be the further suppression of brain insulin in double-transgenic mice (Figure 4).
The authors identify several other hallmarks of Alzheimer disease not typically seen in APP transgenic mice. These include reduced cholinergic innervation of the hippocampus, decreased brain weight, and astrogliosis. It will be important to see whether MAPT/tau is abnormally phosphorylated and if there is overt cell loss in older animals. It will also be interesting to learn how these animals respond to treatment with glitazones, DPPIV antagonists or γ-secretase inhibitors.
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Comment by: Costantino Iadecola
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Submitted 29 March 2010
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Posted 29 March 2010
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The elegant paper by Takeda et al. demonstrates that crossing APP-overexpressing mice with leptin-deficient mice, a model of a metabolic syndrome including hyperglycemia, exacerbates the cognitive decline observed in APP mice (APP23). The effect was observed without changes in brain Aβ burden, but cerebrovascular amyloid deposition and associated inflammation were enhanced in the APP-ob/ob mice. Considering that cerebrovascular dysfunction is present both with defective leptin signaling ( Didion et al., 2005) and in APP mice ( Iadecola et al., 1999), the data suggest that the added alterations in the blood supply to the brain may play a role in the cognitive worsening of the APP-ob/ob crosses.
This conclusion is supported by experiments in APP mice crossed with NOX2-null mice in which rescuing the cerebrovascular dysfunction ameliorated cognitive performance without altering the amyloid load (Park et al., 2008). Therefore, modulation of the...
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The elegant paper by Takeda et al. demonstrates that crossing APP-overexpressing mice with leptin-deficient mice, a model of a metabolic syndrome including hyperglycemia, exacerbates the cognitive decline observed in APP mice (APP23). The effect was observed without changes in brain Aβ burden, but cerebrovascular amyloid deposition and associated inflammation were enhanced in the APP-ob/ob mice. Considering that cerebrovascular dysfunction is present both with defective leptin signaling ( Didion et al., 2005) and in APP mice ( Iadecola et al., 1999), the data suggest that the added alterations in the blood supply to the brain may play a role in the cognitive worsening of the APP-ob/ob crosses.
This conclusion is supported by experiments in APP mice crossed with NOX2-null mice in which rescuing the cerebrovascular dysfunction ameliorated cognitive performance without altering the amyloid load (Park et al., 2008). Therefore, modulation of the brain blood supply can influence, positively or negatively, the cognitive outcome in these models independently of the amyloid load. The authors were careful to consider the possibility that alterations in insulin signaling could also play a role. Furthermore, other metabolic effects of leptin deficiency (hyperlipidemia, hypotension, etc.; see Kennedy et al., 2010) could also have influenced the outcome of these studies. Nevertheless, the findings of Takeda et al. broaden our understanding of the effect of cardiovascular risk factors on amyloid pathology, and raise the possibility that therapeutic interventions targeted to cerebral blood vessels may be beneficial in Alzheimer disease.
View all comments by Costantino Iadecola
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Related News: Aggressive Diabetes Treatment Slows Atrophy But Not Mental Slide
Comment by: Sanjay W. Pimplikar
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Submitted 10 October 2011
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Posted 12 October 2011
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Alzforum should be commended for highlighting the ACCORD MIND study. At first glance, the findings from this study (an aggressive treatment to control diabetes did not improve cognition and in fact may be detrimental) seem to lack direct relevance to AD, but I see two important lessons for the field. First, this study shows a clear divergence between brain volume and cognition. Since the loss of cognition remains the most devastating aspect of AD, we should be cognizant of the danger of overly relying on a particular biomarker as a surrogate for cognition or brain function. Second, this study shows that aggressive treatment does not always bring about desirable outcomes.
This is especially important, since current thinking in the AD field is that we should treat patients before symptoms appear. AD research stands at a crossroads, and future directions are somewhat cloudy. I believe lessons from related fields can help navigate future steps and help us to formulate more realistic expectations for ongoing efforts in the AD field.
View all comments by Sanjay W. Pimplikar
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REAGENTS/MATERIAL:
Measurement of Aβ: Fresh-frozen mouse brain was serially homogenized into detergent-soluble and guanidine HCl-soluble fractions. The amounts of Aβ X-40 and Aβ X-42 in each fraction
were determined by BNT-77/BA-27 and BNT-77/BC-05 sandwich ELISA (Wako Pure Chemical), respectively.
Immunohistochemical Staining: Mouse brains were paraformaldehyde fixed, paraffin-embedded, and cut into sections 10 μm thick. For immunodetection of amyloid plaque,
we used mouse monoclonal anti-Aβ (6E10) (Signet Covance).
We also stained the sections with rabbit anti-GFAP (Sigma), goat anti-ChAT (Chemicon),
rabbit anti-RAGE (Abcam),
rat monoclonal anti-CD31 (PECAM-1) (BD Pharmingen),
goat anti–IL-6 (Santa Cruz Biotechnology),
and goat anti–TNF-α (Santa Cruz Biotechnology).
Western Blotting: Tissue samples were lysed in RIPA buffer containing 150 mM NaF, 2 mM sodium orthovanadate and
protease inhibitors (protease inhibitor mixture; Roche). Protein of total lysate (20 μg) was loaded and blotted.
Rabbit anti-Phospho-Akt (Ser473) (Cell Signaling) and
goat anti-Akt (Santa Cruz Biotechnology) were used.
We performed immunoblot analysis of insulin signaling molecules using tissue homogenates.
Frozen sections (10 μm) were immunostained with
mouse monoclonal anti-PIP3 (Echelon Biosciences).
Immunocytochemical Staining of Brain Microvessels:
A rat monoclonal anti-CD31 (PECAM-1) (BD Pharmingen) and a
mouse monoclonal anti–α-smooth muscle actin conjugated to Cy3 (Sigma-Aldrich)
were used to visualize endothelial cells and vascular smooth muscle cells, respectively.
For immunodetection of amyloid depositions in brain microvessels, anti-Aβ40 antibody (BA-27) was used for the primary antibody.
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