Small study that reversed symptoms
Reversal of cognitive decline: A novel therapeutic program
Dale E. Bredesen1,2
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This report describes a novel, comprehensive, and personalized therapeutic program that is based on the underlying pathogenesis of Alzheimer's disease, and which involves multiple modalities designed to achieve metabolic enhancement for neurodegeneration (MEND). The first 10 patients who have utilized this program include patients with memory loss associated with Alzheimer's disease (AD), amnestic mild cognitive impairment (aMCI), or subjective cognitive impairment (SCI). Nine of the 10 displayed subjective or objective improvement in cognition beginning within 3-6 months, with the one failure being a patient with very late stage AD. Six of the patients had had to discontinue working or were struggling with their jobs at the time of presentation, and all were able to return to work or continue working with improved performance. Improvements have been sustained, and at this time the longest patient follow-up is two and one-half years from initial treatment, with sustained and marked improvement. These results suggest that a larger, more extensive trial of this therapeutic program is warranted. The results also suggest that, at least early in the course, cognitive decline may be driven in large part by metabolic processes. Furthermore, given the failure of monotherapeutics in AD to date, the results raise the possibility that such a therapeutic system may be useful as a platform on which drugs that would fail as monotherapeutics may succeed as key components of a therapeutic system.
Keywords: Alzheimer's, dementia, mild cognitive impairment, neurobehavioral disorders, neuroinflammation, neurodegeneration, systems biology
Magnitude of the problem
Cognitive decline is a major concern of the aging population, and Alzheimer's disease is the major cause of age-related cognitive decline, with approximately 5.4 million American patients and 30 million affected globally . In the absence of effective prevention and treatment, the prospects for the future are of great concern, with 13 million Americans and 160 million globally projected for 2050, leading to potential bankruptcy of the Medicare system. Unlike several other chronic illnesses, Alzheimer's disease prevalence is on the rise, which makes the need to develop effective prevention and treatment increasingly pressing. Recent estimates suggest that AD has become the third leading cause of death in the United States , behind cardiovascular disease and cancer. Furthermore, it has been pointed out recently that women are at the epicenter of the Alzheimer's epidemic, with 65% of patients and 60% of caregivers being women . Indeed, a woman's chance of developing AD is now greater than her chance of developing Breast Cancer
Failure of monotherapeutics
Neurodegenerative disease therapeutics has been, arguably, the field of greatest failure of biomedical therapeutics development. Patients with acute illnesses such as infectious diseases, or with other chronic illnesses, such as cardiovascular disease, osteoporosis, human immunodeficiency virus infection, and even cancer, have access to more effective therapeutic options than do patients with AD or other neurodegenerative diseases such as Lewy body dementia, frontotemporal lobar degeneration, and amyotrophic lateral sclerosis. In the case of Alzheimer's disease, there is not a single therapeutic that exerts anything beyond a marginal, unsustained symptomatic effect, with little or no effect on disease progression. Furthermore, in the past decade alone, hundreds of clinical trials have been conducted for AD, at an aggregate cost of billions of dollars, without success. This has led some to question whether the approach taken to drug development for AD is an optimal one.
Therapeutic success for other chronic illnesses such as cardiovascular disease, cancer, and HIV, has been improved through the use of combination therapies . In the case of AD and its predecessors, mild cognitive impairment (MCI) and subjective cognitive impairment (SCI), comprehensive combination therapies have not been explored. However, the past few decades of genetic and biochemical research have revealed an extensive network of molecular interactions involved in AD pathogenesis, suggesting that a network-based therapeutics approach, rather than a single target-based approach, may be feasible and potentially more effective for the treatment of cognitive decline due to Alzheimer's disease.
Extensive preclinical studies from numerous laboratories have identified multiple pathogenetic targets for potential intervention. These include, in addition to amyloid-β (Aβ) oligomers and tau, inflammatory mediators, apolipoproteins and lipid metabolism factors, hormonal mediators, trophic factors and their receptors, calcium regulatory pathways, axoplasmic transport machinery, neurotransmitters and their receptors, prion protein, and a host of other potential targets. However, one of the drawbacks of these preclinical studies is that many have implicated single pathways, and shown large effects of targeting one pathway, whereas in human studies, such approaches have not been borne out. There are several possible inferences from such discrepant results: first, it is possible that it will be necessary to target multiple pathways simultaneously in order to effect an improvement in symptoms and pathophysiology. Second, it is possible that targeting a single pathway will be sufficient, but that earlier intervention will be required. Third, it is possible that all of these seemingly disparate pathways will converge on a single critical pathway, so that either a single targeted therapy or a multi-component, multi-targeted approach may be effective. And fourth, of course it is possible that neither of these two types of approaches will be sufficient. It is worth noting, however, that it is possible that addressing multiple targets within the network underlying AD pathophysiology may be successful even when each target is affected in a relatively modest way; in other words, the effects of the various targets may be additive, multiplicative, or otherwise synergistic.
Based on a combination of in vitro and in vivo studies, we have advanced a model in which AD results from an imbalance in endogenous plasticity signaling (Fig. (Fig.1),1), 5-9, and in which the β-amyloid precursor protein (APP) is a mediator of such plasticity-related signaling. Thus the model suggests that AD is analogous to other chronic illnesses such as cancer, osteoporosis, and atherosclerosis. In the case of osteoporosis, osteoblastic signaling is chronically exceeded by osteoclastic signaling, resulting in an age-associated chronic illness featuring loss of bone. By analogy, in Alzheimer's disease, there is a fundamental, age-associated imbalance between the dynamically opposed physiological processes that mediate plasticity, i.e., between synaptoblastic and synaptoclastic activity. This signaling involves physiological mediators of synaptic development, maintenance, repair, and remodeling, including APP, its derivative peptides, ApoE, and tau, and is modulated by all of the many disparate factors associated with Alzheimer's disease. Furthermore, just as for neoplasia, positive feedback selects and amplifies the disease process; however, whereas in oncogenesis, the positive feedback occurs at the cellular level, in Alzheimer's disease, the positive feedback occurs at the molecular species level, in the form of prionic loops [5, 8, 9].
Alternative processing of, and signaling by, APP. .
In support of this model, the four peptides derived from the amyloidogenic processing of β-amyloid precursor protein (APP)—sAPPβ, Aβ, Jcasp, and C31—have been shown to mediate neurite retraction, synaptic inhibition, caspase activation, and programmed cell death [6, 10-12]; whereas, in contrast, the two peptides derived from the non-amyloidogenic processing of APP—sAPPα and αCTF—mediate neurite extension, and inhibit Aβ production, caspase activation, and programmed cell death 13-15. Thus APP appears to function as a molecular switch, mediating plasticity-related processes, and AD is associated, whether causally or incidentally, with an increase in the ratio of the neurite-retractive peptides to the neurite-extending peptides. Reducing this ratio, whether by affecting BACE (β-site APP cleaving enzyme) or other cleavage of APP, appears to mitigate the AD severity [7, 16, 17].
Of particular interest for the development of a therapeutic program whose goal is to correct the hypothesized chronic synaptoblastic:synaptoclastic imbalance is the feedback mechanism: whereas homeostatic (negative) feedback is utilized by biological systems with single goal outcomes (e.g., serum pH) and no requirement for amplification, prionic loop (positive) feedback is utilized by biological systems with multi-goal outcomes and a requirement for rapid amplification (e.g., thrombus formation or, potentially, synapse modulation), and such systems therefore function as molecular switches . In these latter systems, the positive feedback feature of the systems dictates that the molecular mediators involved, or a subset thereof, beget more of themselves, or enhance their own activities. Thus such amplifying systems are prionic, with the degree of infectivity depending on the stability of the molecular species involved. In the case of APP signaling, binding of a trophic ligand such as netrin-1 increases the production of sAPPα , which inhibits BACE cleavage , with the complementary fragment, αCTF, inhibiting γ-secretase cleavage ; thus cleavage at the α-site produces fragments that inhibit cleavage at the β-site and γ-site rather than feeding back to reduce α-site cleavage. Similarly, cleavage at the β-site and γ-site to produce Aβ feeds back positively to increase APP-C31 production , thus favoring the pro-AD, anti-trophic processing of APP. Moreover, Aβ itself has been shown to exhibit prionic properties , although the mechanism by which it does so has not been clarified.
Thus APP processing displays positive feedback, and therefore APP and its derivative peptides function as a molecular switch. This has critical implications for therapeutic development, since it offers a mechanism by which a threshold effect occurs. We have taken advantage of this phenomenon to develop drug candidates that increase the anti-AD, trophic APP signaling, while reducing the pro-AD, anti-trophic APP signaling  and enhancing cognition .
We have found that the manipulation of the plasticity balance that is mediated or reflected by the APP-derivative peptide balance (Fig. (Fig.1),1), whether genetically or pharmacologically, leads to predictable effects on learning and memory. Mutation of the caspase site at Asp664 inhibits the synaptic loss, memory deficits, and dentate gyral atrophy that otherwise occurs in the PDAPP transgenic mouse model of AD [7, 17, 24-26]. Furthermore, knock-in studies of a wild type mouse D664A support the notion that APP is indeed involved fundamentally in plasticity. (Kane, et al, unpublished data, 2014)
Systems biology and systems therapeutics of AD
The transgenic mouse studies suggest that APP signaling can be manipulated to inhibit AD pathophysiology. However, the mouse models feature mutations in APP or other familial AD-related genes such as presenilin-1, whereas the large majority of patients with AD suffer from sporadic AD, without an APP or PS1 mutation (although the majority do express the ε4 allele of ApoE). Given the many inputs to the APP signaling balance in humans (e.g., estrogen, netrin-1, Aβ, etc.), and the minimal success with each of many potentially therapeutic agents (e.g., estrogen, melatonin, exercise, vitamin D, curcumin, Ashwagandha, etc.), the pathobiology of AD dictates a system or program rather than a single targeted agent. Successes with other chronic illnesses such as cardiovascular disease, neoplasia, and HIV support the efficacy of multiple-component systems. My colleague and I have recently described such a system for AD . The basic tenets for such a comprehensive therapeutic system are the following:
Just as for other chronic illnesses such as atherosclerotic cardiovascular disease, the goal is not simply to normalize metabolic parameters, but rather to optimize them. As an example, a serum homocysteine level of 12 μmol/l is considered to be within normal limits, but is well documented to be suboptimal . Similar arguments can be made for many other metabolic parameters.
Based on the hypothesis that AD results from an imbalance in an extensive plasticity network, the therapy should address as many of the network components as possible, with the idea that a combination may create an effect that is more than the sum of the effects of many monotherapeutics .
Just as for other chronic illnesses such as osteoporosis, cancer, and cardiovascular disease, the underlying network features a threshold effect, such that, once enough of the network components have been impacted, the pathogenetic process would be halted or reversed. Therefore, even though it is not expected that most patients will be able to follow every single step of the protocol, as long as enough steps are followed to exceed the threshold, that should be sufficient.
The approach is personalized, based on the contributory laboratory values affecting the plasticity network; and is computationally intensive, since many physiological data points are analyzed, interdependent network-component status is assessed, and many interventions are prioritized to determine the therapeutic program.
The program is iterative, so that there is continued optimization over time.
For each network component, the goal is to address it in as physiological a way, and as far upstream, as possible.
Patient one: history
A 67-year-old woman presented with two years of progressive memory loss. She held a demanding job that involved preparing analytical reports and traveling widely, but found herself no longer able to analyze data or prepare the reports, and therefore was forced to consider quitting her job. She noted that when she would read, by the time she reached the bottom of a page she would have to start at the top once again, since she was unable to remember the material she had just read. She was no longer able to remember numbers, and had to write down even 4-digit numbers to remember them. She also began to have trouble navigating on the road: even on familiar roads, she would become lost trying to figure out where to enter or exit the road. She also noticed that she would mix up the names of her pets, and forget where the light switches were in her home of years.
Her mother had developed similar progressive cognitive decline beginning in her early 60s, had become severely demented, entered a nursing home, and died at approximately 80 years of age. When the patient consulted her physician about her problems, she was told that she had the same problem her mother had had, and that there was nothing he could do about it. He wrote “memory problems” in her chart, and therefore the patient was turned down in her application for long-term care.
After being informed that she had the same problem as her mother had had, she recalled the many years of her mother's decline in a nursing home. Knowing that there was still no effective treatment and subsequently losing the ability to purchase long-term care, she decided to commit suicide. She called a friend to commiserate, who suggested that she get on a plane and visit, and then referred her for evaluation.
She began System 1.0 (Table (Table1),1), and was able to adhere to some but not all of the protocol components. Nonetheless, after three months she noted that all of her symptoms had abated: she was able to navigate without problems, remember telephone numbers without difficulty, prepare reports and do all of her work without difficulty, read and retain information, and, overall, she became asymptomatic. She noted that her memory was now better than it had been in many years. On one occasion, she developed an acute viral illness, discontinued the program, and noticed a decline, which reversed when she reinstated the program. Two and one-half years later, now age 70, she remains asymptomatic and continues to work full-time.
Therapeutic System 1.0
Patient one: therapeutic program
As noted above, and following an extended discussion of the components of the therapeutic program, the patient began on some but not all of the system: (1) she eliminated all simple carbohydrates, leading to a weight loss of 20 pounds; (2) she eliminated gluten and processed food from her diet, and increased vegetables, fruits, and non-farmed fish; (3) in order to reduce stress, she began yoga, and ultimately became a yoga instructor; (4) as a second measure to reduce the stress of her job, she began to meditate for 20 minutes twice per day; (5) she took melatonin 0.5mg po qhs; (6) she increased her sleep from 4-5 hours per night to 7-8 hours per night; (7) she took methylcobalamin 1mg each day; (8) she took vitamin D3 2000IU each day; (9) she took fish oil 2000mg each day; (10) she took CoQ10 200mg each day; (11) she optimized her oral hygiene using an electric flosser and electric toothbrush; (12) following discussion with her primary care provider, she reinstated HRT (hormone replacement therapy) that had been discontinued following the WHI report in 2002; (13) she fasted for a minimum of 12 hours between dinner and breakfast, and for a minimum of three hours between dinner and bedtime; (14) she exercised for a minimum of 30 minutes, 4-6 days per week.
Patient two: history
A 69-year-old entrepreneur and professional man presented with 11 years of slowly progressive memory loss, which had accelerated over the past one or two years. In 2002, at the age of 58, he had been unable to recall the combination of the lock on his locker, and he felt that this was out of the ordinary for him. In 2003, he had FDG-PET (fluoro-deoxyglucose positron emission tomography), which was read as showing a pattern typical for early Alzheimer's disease, with reduced glucose utilization in the parietotemporal cortices bilaterally and left > right temporal lobes, but preserved utilization in the frontal lobes, occipital cortices, and basal ganglia. In 2003, 2007, and 2013, he had quantitative neuropsychological testing, which showed a reduction in CVLT (California Verbal Learning Test) from 84%ile to 1%ile, a Stroop color test at 16%ile, and auditory delayed memory at 13%ile. In 2013, he was found to be heterozygous for ApoE4 (3/4). He noted that he had progressive difficulty recognizing the faces at work (prosopagnosia), and had to have his assistants prompt him with the daily schedule. He also recalled an event during which he was several chapters into a book before he finally realized that it was a book he had read previously. In addition, he lost an ability he had had for most of his life: the ability to add columns of numbers rapidly in his head.
He had a homocysteine of 18 μmol/l, CRP <0.5mg/l, 25-OH cholecalciferol 28ng/ml, hemoglobin A1c 5.4%, serum zinc 78mcg/dl, serum copper 120mcg/dl, ceru-loplasmin 25mg/dl, pregnenolone 6ng/dl, testosterone 610ng/dl, albumin:globulin ratio of 1.3, cholesterol 165mg/dl (on Lipitor), HDL 92, LDL 64, triglyceride 47, AM cortisol 14mcg/dl, free T3 3.02pg/ml, free T4 1.27ng/l, TSH 0.58mIU/l, and BMI 24.9.
He began on the therapeutic program, and after six months, his wife, co-workers, and he all noted improvement. He lost 10 pounds. He was able to recognize faces at work unlike before, was able to remember his daily schedule, and was able to function at work without difficulty. He was also noted to be quicker with his responses. His life-long ability to add columns of numbers rapidly in his head, which he had lost during his progressive cognitive decline, returned. His wife pointed out that, although he had clearly shown improvement, the more striking effect was that he had been accelerating in his decline over the prior year or two, and this had been completely halted.
Patient two: therapeutic program
The patient began on the following parts of the overall therapeutic system: (1) he fasted for a minimum of three hours between dinner and bedtime, and for a minimum of 12 hours between dinner and breakfast; (2) he eliminated simple carbohydrates and processed foods from his diet; (3) he increased consumption of vegetables and fruits, and limited consumption of fish to non-farmed, and meat to occasional grass-fed beef or organic chicken; (4) he took probiotics; (5) he took coconut oil i tsp bid; (6) he exercised strenuously, swimming 3-4 times per week, cycling twice per week, and running once per week; (7) he took melatonin 0.5mg po qhs, and tried to sleep as close to 8 hours per night as his schedule would allow; (8) he took herbs Bacopa monniera 250mg, Ashwagandha 500mg, and turmeric 400mg each day; (9) he took methylcobalamin 1mg, methyltetrahydrofolate 0.8mg, and pyridoxine-5-phosphate 50mg each day; (10) he took citicoline 500mg po bid; (11) he took vitamin C 1g per day, vitamin D3 5000IU per day, vitamin E 400IU per day, CoQ10 200mg per day, Zn picolinate 50mg per day, and α-lipoic acid 100mg per day; (12) he took DHA (docosahexaenoic acid) 320mg and EPA (eicosapentaenoic acid) 180mg per day.
Patient three: history
A 55-year-old attorney suffered progressively severe memory loss for four years. She accidentally left the stove on when she left her home on multiple occasions, and then returned, horrified to see that she had left it on once again. She would forget meetings, and agree to multiple meetings at the same time. Because of an inability to remember anything after a delay, she would record conversations, and she carried an iPad on which she took copious notes (but then forgot the password to unlock her iPad). She had been trying to learn Spanish as part of her job, but was unable to remember virtually anything new. She was unable to perform her job, and she sat her children down to explain to them that they could no longer take advantage of her poor memory, that instead they must understand that her memory loss was a serious problem. Her children noted that she frequently became lost in mid-sentence, that she was slow with responses, and that she frequently asked if they had followed up on something she thought she had asked them to do, when in fact she had never asked them to do the tasks to which she referred.
Her homocysteine was 9.8μmol/l, CRP 0.16mg/l, 25-OH cholecalciferol 46ng/ml, hemoglobin A1c 5.3%, pregnenolone 84ng/dl, DHEA 169ng/dl, estradiol 275pg/ml, progesterone 0.4ng/ml, insulin 2.7μIU/ml, AM cortisol 16.3mcg/dl, free T3 3.02pg/ml, free T4 1.32ng/l, and TSH 2.04mIU/l.
After five months on the therapeutic program, she noted that she no longer needed her iPad for notes, and no longer needed to record conversations. She was able to work once again, was able to learn Spanish, and began to learn a new legal specialty. Her children noted that she no longer became lost in mid-sentence, no longer thought she had asked them to do something that she had not asked, and answered their questions with normal rapidity and memory.
Patient three: therapeutic program
She began on the following parts of the therapeutic system: (1) she fasted for a minimum of three hours between dinner and bedtime, and for a minimum of 12 hours between dinner and breakfast; (2) she eliminated simple carbohydrates and processed foods from her diet; (3) she increased consumption of vegetables and fruits, limited consumption of fish to non-farmed, and did not eat meat; (4) she exercised 4-5 times per week; (5) she took melatonin 0.5mg po qhs, and tried to sleep as close to 8 hours per night as her schedule would allow; (6) she tried to reduce stress in her life with meditation and relaxation; (7) she took methylcobalamin 1mg 4x/wk and pyridoxine-5-phosphate 20mg each day; (8) she took citicoline 200mg each day; (9) she took vitamin D3 2000IU per day and CoQ10 200mg per day; (10) she took DHA 700mg and EPA 500mg bid; (11) her primary care provider prescribed bioidentical estradiol with estriol (BIEST), and progesterone; (12) her primary care provider worked with her to reduce her bupropion from 150mg per day to 150mg 3x/wk.
All 10 patients are summarized in Table Table22.
Summary of patients treated with the therapeutic system described
Results from the 10 patients reported here suggest that memory loss in patients with subjective cognitive impairment, mild cognitive impairment, and at least the early phase of Alzheimer's disease, may be reversed, and improvement sustained, with the therapeutic program described here. This is the first such demonstration. However, at the current time the results are anecdotal, and therefore a more extensive, controlled clinical trial is warranted.
The results reported here are compatible with the notion that metabolic status represents a crucial, and readily manipulable, determinant of plasticity, and in particular of the abnormal balance of plasticity exhibited in SCI, MCI, and early AD. Furthermore, whereas the normalization of a single metabolic parameter, such as vitamin D3, may exert only a modest effect on pathogenesis, the optimization of a comprehensive set of parameters, which together form a functional network, may have a much more significant effect on pathogenesis and thus on function.
The therapeutic system described in this report derives from basic studies of the role of APP signaling and proteolysis in plasticity, and the imbalance in this receptor proteolysis that reproducibly occurs in Alzheimer's disease. There are numerous physiological parameters that feed into this balance, such as hormones [28, 29], trophic factors , glucose metabolism , inflammatory mediators , ApoE genetic status  sleep-related factors , exercise-related factors , and many others; therefore, the therapeutic system is designed to reverse the self-reinforcing (i.e., prionic) signaling imbalance that we have hypothesized to mediate Alzheimer's disease pathophysiology .
One potentially critical result from the study is the impact of the therapeutic program on the ability of the various patients to work effectively. Six of the 10 patients had had to discontinue working or were struggling with their jobs at the time of presentation, and all were able to return to work or continue working with improved performance. One additional patient had not had difficulty at work at the time of presentation, and has continued to work without difficulty. The other three patients had not worked for years, and did not begin again after treatment. The improvement in function that is required to work effectively after struggling due to cognitive decline is an important outcome of any successful therapeutic system, and is ultimately more critical to the patients than biomarker effects or test performance.
It is recognized that the system described here is an initial system, one that is likely to benefit from optimization. The system is designed to address multiple key pathogenetic mechanisms, but most of the key pathogenetic mechanisms are suboptimally affected by this initial system. This highlights multiple potential therapeutic targets, and optimizing the therapeutics for each of these targets is the goal of ongoing research and development.
It is noteworthy that the major side effect of this therapeutic system is improved health and optimal BMI (body mass index), a result in stark contrast to monopharmaceutical treatments. However, the program is not easy to follow, and none of the patients followed the entire protocol. The significant diet and lifestyle changes, and multiple pills required each day, were the two most common complaints of the patients. However, these complaints were mitigated by the fact that all of the patients had previously been made aware, either through their physicians or the media, that their prognosis was poor and their cognitive decline essentially untreatable.
One potentially important application of the therapeutic program described herein is that such a therapeutic system may be useful as a platform on which drugs that would fail as monotherapeutics may succeed as key components of a therapeutic system. Combination therapeutics have proven successful in multiple chronic illnesses, such as HIV and cancer .
The positive results reported here are perhaps not surprising given that therapeutic programs have proven more effective than monotherapeutics in multiple chronic illnesses, such as atherosclerotic cardiovascular disease, HIV, and cancer [5, 35]. Indeed, chronic illnesses may be more amenable to therapeutic systems than to monotherapeutics. However, the current, anecdotal results require a larger trial, not only to confirm or refute the results reported here, but also to address key questions raised, such as the degree of improvement that can be achieved routinely, how late in the course of cognitive decline reversal can be effected, whether such an approach may be effective in patients with familial Alzheimer's disease, and how long improvement can be sustained.
A novel, comprehensive, and personalized therapeutic system is described that is based on the underlying pathogenesis of Alzheimer's disease. The basic tenets for the development of this system are also described.
Of the first 10 patients who utilized this program, including patients with memory loss associated with Alzheimer's disease (AD), amnestic mild cognitive impairment (aMCI), or subjective cognitive impairment (SCI), nine showed subjective or objective improvement.
One potentially important outcome is that all six of the patients whose cognitive decline had a major impact on job performance were able to return to work or continue working without difficulty.
These anecdotal results suggest the need for a controlled clinical trial of the therapeutic program.
I am grateful for support from the NIH (AG16570, AG034427 and AG036975), the Mary S. Easton Center for Alzheimer's Disease Research at UCLA, the Douglas and Ellen Rosenberg Foundation, the Stephen D. Bechtel, Jr. Foundation, the Joseph Drown Foundation, the Alzheimer's Association, the Accelerate Fund, the Buck Institute and Marin Community Foundation, the Michael and Catherine Podell Fund, Mr. Craig Johnson, and Ms. Michaela Hoag. I thank Dr. David Jones, Dr. Rammohan Rao, and Dr. Varghese John for discussions, and Rowena Abulencia for preparing the manuscript.
Conflict of interest statement
The author of this manuscript declares no conflict of interest.
1. Prince MA, Emiliano, Guerchet, Maëlenn, Prina, Matthew World Alzheimer Report 2014 United Kingdom: Alzheimer's Disease International. 2014.
2. James BD, Leurgans SE, Hebert LE, Scherr PA, Yaffe K, Bennett DA. Contribution of Alzheimer disease to mortality in the United States. Neurology. 2014;82:1045–1050. [PMC free article] [PubMed]
3. Shriver M. A Woman's Nation Takes on Alzheimer's. New York, USA: Alzheimer's Association; 2010.
4. 2014 Alzheimer's Disease Facts and Figures. Special Report on Women and Alzheimer's Disease. USA: Alzheimer's Association; 2014. pp. 1–80.
5. Bredesen DE, John V. Next generation therapeutics for Alzheimer's disease. EMBO Mol Med. 2013;5:795–798. [PMC free article] [PubMed]
6. Lu DC, Rabizadeh S, Chandra S, Shayya RF, Ellerby LM, Ye X, Salvesen GS, Koo EH, Bredesen DE. A second cytotoxic proteolytic peptide derived from amyloid beta-protein precursor. Nat Med. 2000;6:397–404. [PubMed]
7. Galvan V, Gorostiza OF, Banwait S, Ataie M, Logvinova AV, Sitaraman S, Carlson E, Sagi SA, Chevallier N, Jin K, Greenberg DA, Bredesen DE. Reversal of Alzheimer's-like pathology and behavior in human APP transgenic mice by mutation of Asp664. Proc Natl Acad Sci U S A. 2006;103:7130–7135. [PMC free article] [PubMed]
8. Bredesen DE. Neurodegeneration in Alzheimer's disease: caspases and synaptic element interdependence. Mol Neurodegener. 2009;4:27. [PMC free article] [PubMed]
9. Bredesen DE. Prionic Loops, Anti-Prions, and Dependence Receptors in Neurodegeneration. In: Legname GR, Detlev, editors. Prion Research of Stan Prusiner and his Colleagues. Gernamy: Dusseldorf University Press; 2013. pp. 1–24.
10. Lu DC, Shaked GM, Masliah E, Bredesen DE, Koo EH. Amyloid beta protein toxicity mediated by the formation of amyloid-beta protein precursor complexes. Ann Neurol. 2003;54:781–789. [PubMed]
11. Bertrand E, Brouillet E, Caille I, Bouillot C, Cole GM, Prochiantz A, Allinquant B. A short cytoplasmic domain of the amyloid precursor protein induces apoptosis in vitro and in vivo. Mol Cell Neurosci. 2001;18:503–511. [PubMed]
12. Nikolaev A, McLaughlin T, O'Leary DD, Tessier-Lavigne M. APP binds DR6 to trigger axon pruning and neuron death via distinct caspases. Nature. 2009;457:981–989. [PMC free article] [PubMed]
13. Guo H, Tittle TV, Allen H, Maziarz RT. Brefeldin A-mediated apoptosis requires the activation of caspases and is inhibited by Bcl-2. Exp Cell Res. 1998;245:57–68. [PubMed]
14. Tian Y, Crump CJ, Li YM. Dual role of alpha-secretase cleavage in the regulation of gamma-secretase activity for amyloid production. J Biol Chem. 2010;285:32549–32556. [PMC free article] [PubMed]
15. Deyts C, Vetrivel KS, Das S, Shepherd YM, Dupre DJ, Thinakaran G, Parent AT. Novel GalphaS-Protein Signaling Associated with Membrane-Tethered Amyloid Precursor Protein Intracellular Domain. J Neurosci. 2012;32:1714–1729. [PMC free article] [PubMed]
16. Jonsson T, Atwal JK, Steinberg S, Snaedal J, Jonsson PV, Bjornsson S, Stefansson H, Sulem P, Gudbjartsson D, Maloney J, Hoyte K, Gustafson A, Liu Y, et al. A mutation in APP protects against Alzheimer's disease and age-related cognitive decline. Nature. 2012;488:96–99. [PubMed]
17. Bredesen DE, John V, Galvan V. Importance of the caspase cleavage site in amyloid-beta protein precursor. J Alzheimers Dis. 2010;22:57–63. [PMC free article] [PubMed]
18. Lourenco FC, Galvan V, Fombonne J, Corset V, Llambi F, Muller U, Bredesen DE, Mehlen P. Netrin-1 interacts with amyloid precursor protein and regulates amyloid-beta production. Cell Death Differ. 2009;16:655–663. [PMC free article] [PubMed]
19. Obregon D, Hou H, Deng J, Giunta B, Tian J, Darlington D, Shahaduzzaman M, Zhu Y, Mori T, Mattson MP, Tan J. Soluble amyloid precursor protein-alpha modulates beta-secretase activity and amyloid-beta generation. Nature communications. 2012;3:777. [PMC free article] [PubMed]
20. Lu D, Soriano S, Bredesen D, Koo E. Caspase cleavage of the amyloid precursor protein modulates amyloid beta-protein toxicity. J Neurochem. 2003;87:733–741. [PubMed]
21. Meyer-Luehmann M, Coomaraswamy J, Bolmont T, Kaeser S, Schaefer C, Kilger E, Neuenschwander A, Abramowski D, Frey P, Jaton AL, Vigouret JM, Paganetti P, Walsh DM, et al. Exogenous induction of cerebral beta-amyloidogenesis is governed by agent and host. Science. 2006;313:1781–1784. [PubMed]
22. Spilman P, Descamps O, Gorostiza O, Peters-Libeu C, Poksay KS, Matalis A, Campagna J, Patent A, Rao R, John V, Bredesen DE. The multi-functional drug tropisetron binds APP and normalizes cognition in a murine Alzheimer's model. Brain Res. 2014;1551:25–44. [PMC free article] [PubMed]
23. Zhang XY, Liu L, Liu S, Hong X, Chen da C, Xiu MH, Yang FD, Zhang Z, Zhang X, Kosten TA, Kosten TR. Short-term tropisetron treatment and cognitive and P50 auditory gating deficits in schizophrenia. Am J Psychiatry. 2012;169:974–981. [PubMed]
24. Saganich MJ, Schroeder BE, Galvan V, Bredesen DE, Koo EH, Heinemann SF. Deficits in synaptic transmission and learning in amyloid precursor protein (APP) transgenic mice require C-terminal cleavage of APP. J Neurosci. 2006;26:13428–13436. [PubMed]
25. Banwait S, Galvan V, Zhang J, Gorostiza OF, Ataie M, Huang W, Crippen D, Koo EH, Bredesen DE. C-terminal cleavage of the amyloid-beta protein precursor at Asp664: a switch associated with Alzheimer's disease. J Alzheimers Dis. 2008;13:1–16. [PMC free article] [PubMed]
26. Galvan V, Zhang J, Gorostiza OF, Banwait S, Huang W, Ataie M, Tang H, Bredesen DE. Long-term prevention of Alzheimer's disease-like behavioral deficits in PDAPP mice carrying a mutation in Asp664. Behav Brain Res. 2008;191:246–255. [PMC free article] [PubMed]
27. Heijer T, Skoog I, Oudkerk M, de Leeuw FE, de Groot JC, Hofman A, Breteler MM. Association between blood pressure levels over time and brain atrophy in the elderly. Neurobiol Aging. 2003;24:307–313. [PubMed]
28. Lan YL, Zhao J, Li S. Update on the Neuroprotective Effect of Estrogen Receptor Alpha Against Alzheimer's Disease. J Alzheimers Dis. 2014 [PubMed]
29. Shi C, Zhu X, Wang J, Long D. Estrogen receptor alpha promotes non-amyloidogenic processing of platelet amyloid precursor protein via the MAPK/ERK pathway. J Steroid Biochem Mol Biol. 2014;144PB:280–285. [PubMed]
30. Yang Y, Wu Y, Zhang S, Song W. High glucose promotes Abeta production by inhibiting APP degradation. PLoS One. 2013;8:e69824. [PMC free article] [PubMed]
31. Sutinen EM, Pirttila T, Anderson G, Salminen A, Ojala JO. Pro-inflammatory interleukin-18 increases Alzheimer's disease-associated amyloid-beta production in human neuron-like cells. Journal of neuroinflammation. 2012;9:199. [PMC free article] [PubMed]
32. Theendakara V, Patent A, Peters Libeu CA, Philpot B, Flores S, Descamps O, Poksay KS, Zhang Q, Cailing G, Hart M, John V, Rao RV, Bredesen DE. Neuroprotective Sirtuin ratio reversed by ApoE4. Proc Natl Acad Sci U S A. 2013;110:18303–18308. [PMC free article] [PubMed]
33. Wade AG, Farmer M, Harari G, Fund N, Laudon M, Nir T, Frydman-Marom A, Zisapel N. Add-on prolonged-release melatonin for cognitive function and sleep in mild to moderate Alzheimer's disease: a 6-month, randomized, placebo-controlled, multicenter trial. Clin Interv Aging. 2014;9:947–961. [PMC free article] [PubMed]
34. Cotman CW, Berchtold NC, Christie LA. Exercise builds brain health: key roles of growth factor cascades and inflammation. Trends Neurosci. 2007;30:464–472. [PubMed]
35. Silberman A, Banthia R, Estay IS, Kemp C, Studley J, Hareras D, Ornish D. The effectiveness and efficacy of an intensive cardiac rehabilitation program in 24 sites. Am J Health Promot. 2010;24:260–266. [PubMed]
36. Polimeni G, Esposito E, Bevelacqua V, Guarneri C, Cuzzocrea S. Role of melatonin supplementation in neurodegenerative disorders. Front Biosci (Landmark Ed) 2014;19:429–446. [PubMed]
37. Aguiar P, Monteiro L, Feres A, Gomes I, Melo A. Rivastigmine transdermal patch and physical exercises for Alzheimer's disease: a randomized clinical trial. Curr Alzheimer Res. 2014;11:532–537. [PubMed]
38. Smith JC, Nielson KA, Woodard JL, Seidenberg M, Durgerian S, Hazlett KE, Figueroa CM, Kandah CC, Kay CD, Matthews MA, Rao SM. Physical activity reduces hippocampal atrophy in elders at genetic risk for Alzheimer's disease. Frontiers in aging neuroscience. 2014;6:61. [PMC free article] [PubMed]
39. Smith GE, Housen P, Yaffe K, Ruff R, Kennison RF, Mahncke HW, Zelinski EM. A cognitive training program based on principles of brain plasticity: results from the Improvement in Memory with Plasticity-based Adaptive Cognitive Training (IMPACT) study. J Am Geriatr Soc. 2009;57:594–603. [PMC free article] [PubMed]
40. Hooshmand B, Solomon A, Kareholt I, Leiviska J, Rusanen M, Ahtiluoto S, Winblad B, Laatikainen T, Soininen H, Kivipelto M. Homocysteine and holotranscobalamin and the risk of Alzheimer disease: a longitudinal study. Neurology. 2010;75:1408–1414. [PubMed]
41. Tangney CC, Tang Y, Evans DA, Morris MC. Biochemical indicators of vitamin B12 and folate insufficiency and cognitive decline. Neurology. 2009;72:361–367. [PMC free article] [PubMed]
42. Yaffe K, Haan M, Byers A, Tangen C, Kuller L. Estrogen use, APOE, and cognitive decline: evidence of gene-environment interaction. Neurology. 2000;54:1949–1954. [PubMed]
43. Begum AN, Jones MR, Lim GP, Morihara T, Kim P, Heath DD, Rock CL, Pruitt MA, Yang F, Hudspeth B, Hu S, Faull KF, Teter B, et al. Curcumin structure-function, bioavailability, and efficacy in models of neuroinflammation and Alzheimer's disease. J Pharmacol Exp Ther. 2008;326:196–208. [PMC free article] [PubMed]
44. Ma QL, Zuo X, Yang F, Ubeda OJ, Gant DJ, Alaverdyan M, Teng E, Hu S, Chen PP, Maiti P, Teter B, Cole GM, Frautschy SA. Curcumin suppresses soluble tau dimers and corrects molecular chaperone, synaptic, and behavioral deficits in aged human tau transgenic mice. J Biol Chem. 2013;288:4056–4065. [PMC free article] [PubMed]
45. Sehgal N, Gupta A, Valli RK, Joshi SD, Mills JT, Hamel E, Khanna P, Jain SC, Thakur SS, Ravindranath V. Withania somnifera reverses Alzheimer's disease pathology by enhancing low-density lipoprotein receptor-related protein in liver. Proc Natl Acad Sci U S A. 2012;109:3510–3515. [PMC free article] [PubMed]
46. Zanotta D, Puricelli S, Bonoldi G. Cognitive effects of a dietary supplement made from extract of Bacopa monnieri, astaxanthin, phosphatidylserine, and vitamin E in subjects with mild cognitive impairment: a noncomparative, exploratory clinical study. Neuropsychiatr Dis Treat. 2014;10:225–230. [PMC free article] [PubMed]
47. Li W, Yu J, Liu Y, Huang X, Abumaria N, Zhu Y, Xiong W, Ren C, Liu XG, Chui D, Liu G. Elevation of brain magnesium prevents and reverses cognitive deficits and synaptic loss in Alzheimer's disease mouse model. J Neurosci. 2013;33:8423–8441. [PubMed]
48. Littlejohns TJ, Henley WE, Lang IA, Annweiler C, Beauchet O, Chaves PH, Fried L, Kestenbaum BR, Kuller LH, Langa KM, Lopez OL, Kos K, Soni M, et al. Vitamin D and the risk of dementia and Alzheimer disease. Neurology. 2014 [PMC free article] [PubMed]
49. Mori K, Obara Y, Hirota M, Azumi Y, Kinugasa S, Inatomi S, Nakahata N. Nerve growth factor-inducing activity of Hericium erinaceus in 1321N1 human astrocytoma cells. Biol Pharm Bull. 2008;31:1727–1732. [PubMed]
50. Taglialatela G, Navarra D, Cruciani R, Ramacci MT, Alema GS, Angelucci L. Acetyl-L-carnitine treatment increases nerve growth factor levels and choline acetyltransferase activity in the central nervous system of aged rats. Exp Gerontol. 1994;29:55–66. [PubMed]
51. Cansev M, Wurtman RJ, Sakamoto T, Ulus IH. Oral administration of circulating precursors for membrane phosphatides can promote the synthesis of new brain synapses. Alzheimers Dement. 2008;4:S153–168. [PMC free article] [PubMed]
52. Parachikova A, Green KN, Hendrix C, LaFerla FM. Formulation of a medical food cocktail for Alzheimer's disease: beneficial effects on cognition and neuropathology in a mouse model of the disease. PLoS One. 2010;5:e14015. [PMC free article] [PubMed]
53. Brewer GJ, Kaur S. Zinc deficiency and zinc therapy efficacy with reduction of serum free copper in Alzheimer's disease. International journal of Alzheimer's disease. 2013;2013:586365. [PMC free article] [PubMed]
54. Troussiere AC, Monaca Charley C, Salleron J, Richard F, Delbeuck X, Derambure P, Pasquier F, Bombois S. Treatment of sleep apnoea syndrome decreases cognitive decline in patients with Alzheimer's disease. J Neurol Neurosurg Psychiatry. 2014 [PubMed]
55. Bland J. The Disease Delusion: Conquering the Causes of Illness for a Healthier, Longer and Happier Life. United States: Harper Wave; 2014.
56. Henderson ST, Vogel JL, Barr LJ, Garvin F, Jones JJ, Costantini LC. Study of the ketogenic agent AC-1202 in mild to moderate Alzheimer's disease: a randomized, double-blind, placebo-controlled, multicenter trial. Nutr Metab (Lond) 2009;6:31. [PMC free article] [PubMed]
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