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Home: Early-Onset Familial AD: News
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St. Louis: Imaging Preclinical AD—Can You See it Coming in the Brain?
This is Part 6 of a seven-part series on presymptomatic detection. See also Parts 1, 2, 3, 4, 5, and 7.

30 October 2009. At the 7th Leonard Berg Symposium, brain imaging researchers of various stripes—some MRI, some FDG PET, some amyloid imaging aficionados—took stock of what brain imaging tells the field about the preclinical period of Alzheimer disease. From their vantage point, a picture is slowly coming into focus whereby a number of different imaging techniques together predict that a person is on the way to developing Alzheimer’s symptoms. For some speakers, the evidence is strong enough to start thinking seriously about how to use images (in conjunction with CSF and cognition) to test prevention of AD in people who are at high risk, either by virtue of having inherited the ApoE4 risk allele, or a dominant mutation.

Nick Fox of King’s College, London, UK, reminded the audience that of the imaging modalities currently used, magnetic resonance imaging (MRI) is one that can yield perhaps the most exquisite view of the brain with a resolution of 1 mm. This can be had with a 10-minute scan session that is robust and practical for the imaging technician and easy to tolerate for the subject, certainly for presymptomatic people and even for many patients. This method is particularly suited for tracking change, for example, shrinking of brain areas, over time, and to measure progression. “We are all interested in drugs that slow or stop progression,” Fox said.

Some prior imaging studies on presymptomatic eFAD mutation carriers have been done, all very small (Ridha et al., 2006; Godbolt et al., 2006; Ringman et al., 2007; Ginestroni et al., 2009). Early data from Fox’s group suggest that, after diagnosis, people with eFAD lose volume rapidly. Fox showed images of one person’s hippocampus shrinking dramatically within only two years of diagnosis. Many years prior to diagnosis atrophy rates are slow, but five to two years prior, they noticeably pick up to as much as 3 percent per year in particularly vulnerable areas. Rates come in plural form because they differ by brain area; for example, the entorhinal cortex shrinks particularly fast just before diagnosis. “Serial imaging gives us fantastic insight into structural change prior to diagnosis. The excitement of DIAN is that we can pull more people together to expand on these findings with better power,” Fox said.

Technically, the large range of normal variation in brain size between one person and the next makes it important to focus on rates of change in given areas, not absolute measures, and also to focus on the area that changes between two well-registered images (aka the boundary shift interval), without including the volume of the entire brain, Fox noted.

MRI is one of the most established ways of brain imaging. In the past five years, it got increasingly prominent company from amyloid positron emission tomography (PET), which visualizes in fiery color and in living people pathology that previously could only be seen after a patient had died. Research groups around the globe quickly adopted the amyloid label Pittsburgh Compound B (PIB) or similar compounds for study, and as people began to drill deeper, the story became more complicated. Questions arose about what it means that a large fraction of cognitively healthy elderly have amyloid in their brains, about exactly which forms of amyloid PIB binds to, and how being PIB positive related to other liabilities ascribed to the preclinical stage of AD. At the Leonard Berg Symposium, Keith Johnson of Massachusetts General and Brigham and Women’s Hospitals in Boston addressed these questions with the data available to date.

Multiple studies show that, by and large, everyone with AD has high PIB retention in their brains, Johnson said. There are exceptions relating to the maturity of plaques and perhaps “strains” of Aβ (e.g., Rosen et al., 2009). “These are interesting and important, but they are exceptions,” Johnson stressed. At the early symptomatic MCI stage, people either have a control pattern or an AD-like pattern, not an in-between pattern. The so-called PIB-positive (PIB+) controls, that is, people who are clinically normal but have amyloid in their brains, tend to have it in a stereotyped AD-like distribution with a weaker intense signal. Around the time of diagnosis, PIB binding tends to become saturated and stay relatively stable through the course of clinical disease.

One burning question on the minds of people who study preclinical detection in different populations and with different methods is how the data might all fit together. Johnson offered this hypothesis:

By that scenario, the long road to disease would begin with amyloid-β pathology. Age and genetics (i.e., ApoE genotype) influence a person’s propensity to deposit amyloid, and both CSF Aβ and PIB PET can detect it. This would lead to synaptic dysfunction, which impairs cognition directly, and also indirectly over time as the neurons bearing malfunctioning synapses slowly die. It is widely accepted that brain and cognitive reserve influence how long a person can withstand the damaging effects of the encroaching pathology. Bill Klunk, of the University of Pittsburgh Medical School in Pennsylvania, noted that vascular disease is another important environmental factor that acts at this level. The PIB+ clinically normal people currently draw intense interest among researchers. Are they the ones who are on this path to AD? Imaging methods from functional MRI to FDG glucose PET and volumetric MRI exist to visualize and quantify these stages. The standard clinical tests used routinely in diagnosis pick up the latest stage on this flow chart, but increasingly, new findings are converging around more sensitive cognitive measures to pick up earlier, subtler changes (see Part 3 and below).

One way of probing whether this suggested signature of AD holds true is to test whether amyloid deposition in clinically and cognitively normal people relates to the other components in this diagram. “We do this by looking at other measures of AD in PIB+ controls,” Johnson said. Here are four examples of doing so that Johnson presented in his talk:

  • Cortical thickness: In MGH studies of cognitively normal PIB+ people, increasing amyloid is associated with a thinning cortex in the precuneus, anterior and posterior cingulate, and some temporo-parietal and medial frontal cortical areas. These areas have come to represent a network that represents functional connection. “These areas talk to each other,” Johnson said.
  • Hippocampal volume: In the MGH/BWH studies, this measure does not seem to relate to amyloid deposition in the cognitively normal volunteers but does by mildly impaired stages of CDR 0.5 and 1. “This suggests to us that the cortex thins first and the hippocampus a bit later,” Johnson said.
  • Brain connectivity: A recent study reported that the more highly linked an area is—in other words, if it is a hub of intense connectivity—the more amyloid it tends to have (Buckner et al., 2009). This month, the researchers reported an amyloid-related disruption of intrinsic connectivity among asymptomatic elderly (Hedden et al., 2009). “This suggests a disconnection where one area is unable to talk with other, previously connected areas anymore,” Johnson said. In July, the same researchers reported that using fMRI, they found that brain amyloid in non-demented people mapped to their inability to deactivate the default network when focusing on a task (Sperling et al., 2009).
  • Cognitive function: It is becoming increasingly clear that amyloid deposition is tied to cognitive impairment. IQ and education are important here because people high on those measures are able to tolerate amyloid pathology longer. People with low IQ/education scores show a much stronger link between amyloid in their precuneus (a particularly early area) and how they perform on neuropsychological tests (Rentz et al., Annals of Neurology, in press). And preliminary analyses of longitudinal data showed a detectable decline in a delayed word recall test. People declined along with increasing precuneus PIB. These are subtle effects on difficult tests, Johnson noted; the first difference the MGH/BWH studies see in those tests is that people with PIB in precuneus lose the practice effect, i.e., they don't improve anymore with repeated testing. “We really don’t understand in biological terms what cognitive reserve is and how it preserves function,” Johnson noted.

The Society for Neuroscience conference, held 17-21 October 2009 in Chicago, featured even newer data along these lines. To quote but one example, Deepti Putcha, working with Reisa Sperling at Brigham and Women’s Hospital in Boston, reported that cognitively normal older people who performed poorly on a challenging memory test (RVALT) had hyperactivation of their hippocampus along with cortical thinning in AD-vulnerable areas of the medial temporal lobe. These data are fresh out of the scanner, and concomitant amyloid and connectivity imaging data on this new aging cohort still needs to be analyzed, Putcha said.

These and other emerging clues on how multiple preclinical markers link up together in the same people will hopefully bring into focus a predictive signature over the course of the next five years, as longitudinal studies under way at several institutions progress. But even now, the field has advanced far enough to start planning prevention research, argued Eric Reiman of the Banner Alzheimer's Institute in Phoenix, Arizona. Evaluating promising presymptomatic treatments in the general population takes too long and is too costly, but doing so in high-risk groups such as ApoE4 carriers and presymptomatic carriers of dominantly inherited Alzheimer disease (DIAD)/eFAD mutations has come entirely within reach, Reiman said. Adding to the other speakers’ presentations a brief summary of his group’s research, Reiman noted that he has followed ApoE- genotyped volunteers—that is, people at three defined levels of risk—with brain imaging for well over a decade. People with the ApoE4 allele have decreased glucose utilization and subtle metabolic changes already as young adults, predating even the earliest biochemical marker to date, i.e., CSF Aβ. These FDG PET abnormalities do not progress continuously from early adulthood, but they flag early on where the AD changes will develop later, Reiman said (Reiman et al., 2001; Caselli et al., 2004; Reiman et al., 2005; Reiman et al., 2009).

The wealth of imaging and biomarker data the field has accumulated to date provides a sufficient foundation for proof-of-concept trials of biomarker outcomes, not clinical outcomes, with several hundred subjects, Reiman said. He spoke forcefully for starting an era of prevention research. This will not be a quick achievement, but it is time to begin gathering drug/biomarker data that can open a new regulatory path to approval. Such trials would also show research volunteers who have allowed scientists to poke, question, and scan them for decades that the scientists, in turn, will use all that data toward something tangible that truly matters to the volunteers and their families.—Gabrielle Strobel.

This is Part 6 of a seven-part series on presymptomatic detection. See also Parts 1, 2, 3, 4, 5, and 7.

 
Comments on Related News
  Related News: NIH Calls for More (and Different) Research on Preventive Measures

Comment by:  Roberta Diaz Brinton, ARF Advisor
Submitted 10 May 2010  |  Permalink Posted 10 May 2010

I am delighted that research on prevention of Alzheimer disease is now a high priority for the NIH. This is particularly critical to the population at greatest lifetime risk for development of AD, postmenopausal women. One correction to this report is critical. The comment that "taking conjugated equine estrogen combined with progesterone (not estrogen alone)" is associated with AD or cognitive decline is not entirely accurate. Progesterone was not the progestin used in the WHIMS clinical trial which is likely to be the study from which the panel's conclusion was drawn. The progestin used in WHIMS was medroxyprogesterone acetate (MPA). The distinction is critical as MPA can completely antagonize the benefits of estrogen in brain, whereas progesterone can, in some instances, enhance estrogen action (1-3).

Moreover, recent data indicate that the regimen of progesterone exposure, cyclic vs. continuous, can drastically affect outcomes in brain that are particularly relevant to development of AD pathology. Christian Pike's team, as part of our NIA program project on progesterone,...  Read more


  Related News: NIH Calls for More (and Different) Research on Preventive Measures

Comment by:  Robert Peers
Submitted 10 May 2010  |  Permalink Posted 10 May 2010

In my opinion, the big environmental cause of AD is likely to be refined, antioxidant-depleted seed oils, which have now been linked to both cognitive decline (Psaltopoulou et al., 2008) and incident AD (Barberger-Gateau et al., 2007). These oils are neurotoxic, and their absence in the diet of people using only olive oil accounts for the relative absence of AD in this group.

View all comments by Robert Peers

  Related News: NIH Calls for More (and Different) Research on Preventive Measures

Comment by:  John Breitner, ARF Advisor
Submitted 13 May 2010  |  Permalink Posted 13 May 2010

Absence of proof is not proof of absence.

The committee's conclusions reflect the current standards of evidence-based medicine as regards recommendations for interventions, including preventive interventions. By these standards, the field of AD research has not yet produced substantial findings sufficient to warrant such recommendations. That conclusion was never in doubt.

Certainly, the field has attempted to produce such evidence. With one or two exceptions, however, all RCTs have sought either improvement or stabilization of symptomatic AD, including mild cognitive syndromes thought frequently to represent the early symptomatic expression of the disease. The spectacular failures of these trials have brought puzzlement and demoralization, so that we are now forced to reassess our approach to AD therapeutics. In particular, we must consider ways to intervene in the pre-symptomatic stages of AD pathogenesis. From the perspective of symptoms, at least, this is primary prevention.

Until now, our field has done relatively little work on primary prevention....  Read more


  Related News: NIH Calls for More (and Different) Research on Preventive Measures

Comment by:  Deborah Blacker
Submitted 18 May 2010  |  Permalink Posted 18 May 2010

With regard to the big picture, I agree with John Breitner that RCTs have largely focused on treatment of established AD. A few have looked at MCI, but it has been defined at a high threshold, such that the likelihood of progression to dementia in a few years is high—and this typically means that AD pathology is probably already present in most of those who do progress. Primary prevention trials would be optimal, but they require a much longer time period before they will yield informative results, and are also much more expensive.

In the meantime, long-term cohort studies such as Framingham, Nurse's, Health Professionals, Honolulu, etc., may be our best bet, as they offer the possibility of measuring exposure long before symptoms develop. (For brief descriptions of these cohorts, see the AlzRisk AD Epidemiology Database.) This, in turn, rules out the possibility that putative risk factors are actually due to the disease process or part of the disease prodrome, which is a significant concern for cognitive activities, for...  Read more


  Related News: NIH Calls for More (and Different) Research on Preventive Measures

Comment by:  Kenneth Kosik, ARF Advisor
Submitted 20 May 2010  |  Permalink Posted 20 May 2010

The NIH State-of-the-Science Conference has set a threshold of evidence required to make recommendations that goes beyond what would best serve the interests of public health. This may seem paradoxical, because as scientists we demand the highest standards of rigor, and critiquing the panel for setting the bar too high may appear to undermine our strong commitment to the scientific method. However, AD prevention simply is not at the point yet of delivering formal proof as per the dictums of evidence-based medicine. Even so, this panel is likely to influence the thinking of policymakers, who routinely operate in a situation of having to make far-reaching decisions in the absence of definitive proof. Hence, policymakers require guidance that has the public health interest at heart.

The expectation that interventions such as treating hypertension, adopting good nutrition, and exercise require the same standard of proof as demonstrating efficacy and safety of a novel drug represents a further setback for the already arduous task of gaining widespread adherence to healthy...  Read more


  Related News: New Strategies for Early Diagnosis of AD

Comment by:  Ivan Maksimovich
Submitted 16 November 2012  |  Permalink Posted 16 November 2012

Long before AD symptoms, perhaps even in childhood (congenital causes cannot be excluded), people with a high likelihood of acquiring AD show degeneration of the brain capillary bed (1,2). This is manifested in reduction of the capillaries in the temporal and frontoparietal regions, which at some point leads to reduction of capillary blood flow in these areas (2,3). Further reduction of the capillary bed leads to the opening of arteriovenous shunts in these areas, and to early dumping of arterial blood into the venous system of the brain (2,4). During ultrasound and PET examination, these changes of hemodynamics may look like increased blood flow, but this does not happen in reality, as the blood is just dumped into the veins without going through the capillary bed, and examination shows blood flow in arteriovenous shunts (4). This process, in turn, leads to disruption of the process of deposition and clearance of amyloid-β, and as a result contributes to AD development (5,6,7). Early identification of these changes is essential for the diagnosis of preclinical AD (2,4,6,7).

References:
1. Maksimovich IV, Polyaev YA. (2010) The Importance of Early Diagnosis of Dyscircular Angiopathy of Alzheimer's Type in the Study of Heredity of Alzheimer's Disease. J Alzheimer's & Dementia. 6;4:Supp. e43. See paper.

2. Maksimovich IV. (2012) Vascular factors in Alzheimer’s disease. J. Health. 4;Special Issue I:735-742. See paper.

3. Baloyannis SJ, Baloyannis IS. The vascular factor in Alzheimer's disease: A study in Golgi technique and electron microscopy. J Neurol Sci. 2012 Nov 15;322(1-2):117-21. Abstract

4. Maksimovich IV. (2012) Endovascular Application of Low-Energy Laser in the Treatment of Dyscirculatory Angiopathy of Alzheimer’s Type. Journal of Behavioral and Brain Science. 2:67-81. See paper.

5. Maksimovich IV. (2012) The Tomography Dementia Rating Scale (TDR)—the Rating Scale of Alzheimer's Disease Stages. J. Health. 4;Special Issue I:712-719. See paper.

6. Bell RD, Zlokovic BV. Neurovascular mechanisms and blood-brain barrier disorder in Alzheimer's disease. Acta Neuropathol. 2009 Jul;118(1):103-13. Abstract

7. Zlokovic BV. Neurovascular pathways to neurodegeneration in Alzheimer's disease and other disorders. Nat Rev Neurosci. 2011 Dec;12(12):723-38. Abstract

View all comments by Ivan Maksimovich

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