Michael Fossel Michael is President of Telocyte

July 4, 2018

Aging and Disease: 2.8 Cell Senescence, Changes In Molecular Turnover, Extracellular Molecules

The human body contains perhaps a bit short of 40 trillion cells, which is an impressive number, yet a large part of our body – a quarter to a third, depending how you measure it – isn’t intracellular, but extracellular. This includes not only the fluids within the blood and lymphatic spaces, but the space that lies between our cells, even in “solid” tissue. This extracellular space is just as critical – and as it turns out, just as dynamic – as our intracellular space.

The extracellular space has cells within it, for example the fibroblasts in our dermis, the lymphocytes wandering about in our lymphatic system, and the red and white (and other) cells circulating in our blood streams, but if we ignore all of these cells for a moment, we find that the extracellular space is still a complex place. It is replete with important molecules, including electrolytes and proteins (and many others), and these molecules are continually being “recycled”, much as the intracellular molecules are.

The extracellular space is not a quiet place and certainly not a place where protein molecules can quietly “retire” for a few decades. To the contrary, the molecules come and go, subject to continual degradation and replacement. Aging doesn’t occur simply because molecules “sit around and fall apart”. Aging occurs because molecules aren’t turned over as quickly as we age.

Looking solely at human skin – and then solely at a few of the dozens of important molecules that play a role – we find two well-known molecules that are worth focusing on: collagen and elastin. We will simplify our discussion by looking just at the skin, just at collagen and elastin, and just at both proteins generically, intentionally ignoring the multiple subtypes of both collagen and elastin. We will also simplify our discussion by ignoring the water, electrolytes, immune proteins, enzymes, hormones, and various other structural proteins (keratin, muscle, bony matrix, fibronectin, laminins, etc.) that we might discuss.

Let’s focus on what happens to the collagen and elastin in our skin as we age.

Both collagen and elastin are familiar to most of us, as well as to anyone who has ever watched advertisements for skin care products. Collagen is a long, chain-like protein that provides strength and some cushioning throughout the body, including the skin. It is collagen that keeps your skin from pulling apart, providing resistance to stress. In addition to skin, collagen is also found in cartilage, tendons, bones, ligaments, and just about everywhere else. Elastin is – as the name suggests – and elastic molecule that allows skin (and other tissues) to return to its original position when it has been deformed. You might think of collagen as chain that has strength and elastin as a rubber band that stretches. Collagen prevents too much deformation, while elastin pulls skin back after slight deformations.

As we age, both of these fail. Collagen breaks and our skin becomes more fragile and prone to damage from slight impacts or friction. Elastin breaks and our skin sags and no longer “bounces back”. As both of these fail over time, we form wrinkles, although these are only one of the obvious cosmetic changes that occur. Skin loses both strength (collagen) and elasticity (elastin) over time. Why?

Whether you are six or sixty, your collagen and elastin molecules are steadily breaking down and failing. The difference is not the rate of damage, but the rate of turnover. This is the rate at which molecules – such as collagen and elastin — are recycled and replaced. In young skin, collagen turnover can be as high as 10% per day, but the rate of turnover falls steadily with chronological age, or more specifically, with cell aging. As cells are lost and replaced by cell division, the telomeres shorten, gene expression changes, and molecular turnover slows down. The older your cells, the slower the rate at which they replace damaged extracellular proteins, whether collagen, elastin, or any other protein (such as beta amyloid in the elderly patient with Alzheimer’s disease). No wonder our skin becomes fragile, loses elasticity, and develops wrinkles.
Despite the advertising world, none of these changes are amenable to moisturizers, protein injections, serums, creams, or a host of other “miracle anti-aging products” that tout the ability to erase wrinkles, rejuvenate skin, and restore lost beauty.

There is, however, one intervention that would be effective: to reset gene expression and upregulate molecular turnover, so that key molecules, such as collagen and elastin, are more rapidly turned over, with the result that damaged molecules no longer accumulate, but are replaced more quickly. The key to extracellular aging isn’t the damage, but the rate of turnover. The practical implication is that whether we are talking about collagen, elastin, beta amyloid, or dozens of other types of extracellular protein, we can effectively intervene by resetting gene expression. Whether we are looking at skin, joints, bone, or brains, the potential is an innovative and effective intervention for age-related problems.

Next Time: 2.9 Cell Senescence And Tissue Aging

April 24, 2018

Aging and Disease: 2.3 – Cell senescence, Changes in Gene Expression

Changes in gene expression underlie aging and age-related diseases. There is all-but-universal (and equally unwarranted) assumption that both aging and age-related diseases are genetic. We see articles on “aging genes” and “genes that cause Alzheimer’s disease” (or genes that cause heart disease, osteoarthritis, etc.). The reality is that both aging and age-related diseases are not genetic, they are epigenetic.

To get at the difference, albeit in a slightly different context, consider the difference between a skin cell and a nerve cell. These cells have the same genes, but very different gene expression. The difference between a skin cell and a nerve cell is not genetic, but epigenetic. Same genes, different gene expression.

The same is true of aging cells. The difference between a typical young cell and a typical old cell is not genes, but gene expression. The two cells – for example, a young skin cell and an old skin cell – have the same genes, but very different patterns of gene expression. What makes a cell “old” is not gene damage or altered genes, but alterations in the way those genes are expressed. To use the analogy of a symphony orchestra, both young cells and old cells have the same orchestral instruments (violins, oboes, etc.), but they’re playing slightly different scores (Mozart instead of Bach, as it were). Old cells aren’t old because their “instruments” (the genes) are “out of tune”, but they are old because they play a different tune.

This alteration in gene expression underlies all age-related diseases. The reason we have heart disease, dementia, osteoarthritis, osteoporosis, or other hallmarks of aging (including things like wrinkles, that aren’t actually diseases at all), is because certain cells have an altered pattern of gene expression. Same genes, different gene expression.

A growing number of papers have pin-pointed specific changes in gene expression that are present in old cells and old tissues, but they focus narrowly on such changes as “the” important change, then explore how they might address that single, specific change. They see a single “tree” (of a change of expression in single gene) but lack the ability to see the larger “forest” (encompassing the gamut of changes in expression in hundreds of genes). Too often, they view each change as a “cause” of aging, not realizing that each single change is an effect, caused in turn by a more fundamental process: the shortening of the telomere. In fact, there are literally hundreds (perhaps thousands) of such changes, all of which are not, by themselves, causes of disease or aging, but are the results of changes in telomere length. Aging – and age-related diseases – are not the result of one gene, nor the result of the change of expression in one gene, but rather the result of wholesale and subtle changes of expression in many genes, acting in concert. To harp back to the orchestra: the problem is the orchestral score, not the orchestral instrument.

Nor are do such epigenetic changes stop there. As the telomere influences the expression of a few local genes, these in turn influence the expression of more distant genes, which in turn influence genes on other chromosomes. Moreover, there are interactional effects between such genes: gene a1 may affect three other genes, but such “downstream” genes may well be influenced by other genes as well.

Views of aging (or disease) that focus only on one particular gene or gene product (any of the various “x’s” at the bottom of figure 2.3a) miss the complexity of the process. As examples of this, we see human trials that, in the case of Alzheimer’s disease for example, focus narrowly upon particular gene products, such as beta amyloid (or genes, such as APOE4), then express confusion and surprise when carefully thought out interventions (aimed only at beta amyloid) fail to have any impact on the progressive course of the disease. These trials my employ an effective intervention for one particular gene or gene product, but they ignore the expression of other genes and ignore the complex interactions of multiple genes, all of which are undergoing changes in gene expression as the cells age.

Such human trials remove one tree and then wonder why the forest is still there.

Moreover, as we will see, even when you restrict your focus to a particular gene, the problem is not the product itself, but the rate at which it turns over. To stretch our tree and forest analogy, even if you restrict your view to one particular tree, you find that it keeps regrowing. The question isn’t “can you cut the tree”, but “how often you need to recut the tree?” Beta amyloid, for example, is continually being turned over. Simply lowering the amount of amyloid (“cutting the tree”) won’t work – as many human trials aimed at amyloid have shown – because amyloid is a dynamic pool (a “tree that keeps regrowing”).

The problem comes back to the telomere. Not only isn’t it enough to focus on a single gene, a single protein, or a molecule, but even if you use a broader view and look at all the changes in gene expression – modulated by changes in telomere length – you must realize that every single gene, protein, or molecule is dynamic. Alzheimer’s, for example, is not JUST a matter of beta amyloid, but a matter of dynamic turnover in the amyloid pool. To account for the broad changes, you need to account for ALL the gene changes and account for the turnover rates as gene expression changes.

Trying to treat disease is much like trying to treat hundreds of dynamic processes all at once. You can try aiming at all the processes with hundreds of drugs, you can even try to find a drug that will increase the turnover rates of all these hundreds of processes with hundreds of drugs, one-by-one and with interactive side effects. The actual processes that encompass these age-related changes in gene expression are stunningly complex, encompassing DNA methylation, histone tails and other histone modifications, nucleosome positioning, micro RNA’s (miRNA’s), repressor proteins, i-motif DNA “knots”, and probably dozens of other “tools” of our epigenetic landscape, but the details of these processes lie well beyond our current discussion.

The upshot is plain, however. We could focus one-by-one on each of thousands of individual genes, we could focus one-by-one on each of dozens of different regulatory processes, and for each of these thousand genes or dozen processes attempt to develop (one-by-one!) effective interventions, then hope to combine all of these interventions (while hoping there are not interactive side effects) and use them to treat age-related disease by giving thousands of small molecule drugs.

Or, we can simply reset gene expression by addressing the change in telomere lengths.

 

Next time: 2.4 Cell Senescence, Changes in Molecular Turnover

 

March 20, 2018

Aging and Disease: An Index

For those interested in knowing where this blog is going (or where it has been), here is an index of all previous and planned posts for this series on Aging and Disease. Note that the planned posts may change as we progress.

0.1 Prologue

1.0 Aging, our purpose, our perspective

1.1 Aging, what is isn’t

1.2 Aging, what we have to explain

1.3 Aging, what it is

1.4 Aging, the overview

1.5 Aging, misconceptions

2.0 Cell senescence, perspective

2.1 Why cells divide

2.2 Telomeres

2.3 Changes in gene expression

2.4 Changes in molecular turnover

2.5 Changes in molecular turnover, most molecules

2.6 Changes in molecular turnover, DNA repair

2.7 Changes in molecular turnover, Mitochondria

2.8 Changes in molecular turnover, extra-cellular molecules

2.9 Cell senescence and tissue aging

3.0 Aging disease

3.1 Cancer

3.2 Direct and indirect aging

3.3 Skin

3.4 Immune system

3.5 Osteoarthritis

3.6 Osteoporosis

3.7 Arterial (vascular) disease

3.8 CNS disease

3.9 CNS: Parkinson’s disease

3.10 CNS: Alzheimer’s disease

4.0 Treating age-related disease, what doesn’t work, small molecular approaches

4.1 What doesn’t work, killing senescent cells

4.2 What works, lowering risks

4.3 What works, resetting gene expression

5.0 Telomerase in the Clinic

February 1, 2018

Aging and Disease: 1.0 – Aging, Our Purpose, Our Perspective:

Aging is poorly understood, While the process seems obvious, the reality is far more complex than we realize. In this series of blogs I will explain how aging works and how aging results in disease. In passing, I will touch upon why aging occurs and will culminate in an explanation of the most effect single point of intervention, both clinically and financially. We will likewise explore the techniques, costs, and hurdles in taking such intervention into common clinical use in the next few years.

The approach will be magesterial, rather than academic. I do not mean to preclude differences of opinion, but my intent is not to argue. I will explain how aging works, rather than engage in theoretical disputes. Many of the current academic disputes regarding aging are predicated on unexamined assumptions and flawed premises, resulting in flawed conclusions. Rather than argue about the conclusions; I will start from basics, highlight common pitfalls in our assumptions and premises, then proceed to show how aging and age-related diseases occur.

Since this is not and is not intended to be an “Academic” series (capitalization is intentional), I will aim at the educated non-specialist and will usually omit references, in order to make engagement easier for all of us as the series proceeds. If any of you would like references, more than 4,200 academic references are available in my medical textbook on this topic, Cells, Aging, and Human Disease (Oxford University Press, 2004). For those of you with a deep intellectual exploration of this topic, I recommend you read my textbook. Ironically, my academic textboo is still largely up-to-date with regard to the patholgy and to the aging process in general, if not so with regard to current interventional techniques for human clinical use.

The first book and medical articles that explained aging were published two decades ago, including Reversing Human Aging (1996) and the first two articles in the medical literature (both in JAMA, in 1997 and 1998). There are no earlier or more complete explanations of how aging works, nor of the potential for effective clinical intervention in aging and age-related disease. Since then, I have published additional articles and books that explain the aging process and potentially effective clinical interventions. The most recent, and most readable of these (The Telomerase Revolution, 2015) is meant for the lay reader and is available in 7 languages and 10 global editions. For those of you who want to know more, I encourage you to explore this book, which was praisde in both The London Times and the Wall Street Journal.

Finally, the focus will be the theory of aging; a theory that is valid, accurate, consistant with known data, predictively valid, and testable. This will not be a narrow discussion of the “telomere theory of aging”, which is a misnomer, but a detailed discussion of how aging works and what can be done about it using current techniques. A factual and accurate explanation of aging relies on telomeres, but also must addrss mechanisms of genes and genetics, gene expression changes and epigenetics, cell senescence and changes in cell function, mitochondrial changes and ROS, molecular turnover and recycling, DNA damage and cancer, “bystander” cells and “direct aging”, tissue pathology and human disease, and – above all – how we may intervene to alleviate and prevent such disease. The proof is not “in the pudding”, but in the ability to save lifes, prevent tragedy, and improve health.

The proof is in human lives.

This theory of aging has several key features. It is the only theory that accounts for all of the current biological and medical data. It is internally consistent. It is predictively valid: for the past 20 years, it has predicted both academic research results and the clinical outcomes of pharmaceutical trials accurately and reliably in every case. These predictions include the results of monoclonal antibody trials in Alzheimer’s disease, as well as other Alzheimer’s clinical trials, other clinical trials for age-related disease, and animal research (in vivo and in vitro). Perhaps the most fundamental feature of this theroy of aging is that it is an actual theory, i.e., testable and falsiable. A “theory” that cannot be disproven isn’t science, but philosophy. Many of what we think of as “theories of aging” cannot meet this criteria. If they cannot be disproven, they are not science, but mere will-o’-the-wisps.

If the theory of aging has a single name – other than the “telomere theory of aging” — it might be the epigenetic theory of aging. Despite misconceptions and misunderstandings about what it says (both of which I will try to remedy here), the epigenetic theory of aging has stood the test of time for the past two decades. It remains the only rational explanation of the aging process, while remaining consistent, comprehensive, and predictively valid. When it predicted failure of an intervention, the intervention has failed. When it predicted an effective intervention, the intervention has proven effective. Whether it’s the telomere theory of aging or the epigenetic theory of aging, in this series, we will proceed to get our conceptual hands dirty and look carefully at what happens when aging occurs, why it happens, where it happens, and what can be done about it. We’re going to go at this step-by-step, going into detail, and showing why we can intervene in both the basic aging process and human age-related diseases.

I doubt you’ll be disappointed.

 

Next blog:       1.1 – Aging, What is Isn’t

January 23, 2018

Aging and Disease: 0.1 – A Prologue

Aging and Disease

0.1 – A Prologue

Over the past 20 years, I have published numerous articles, chapters, and books explaining how aging and age-related disease work, as well as the potential for intervention in both aging and age-related disease. The first of these publications was Reversing Human Aging (1996), followed by my articles in JAMA (the Journal of the American Medical Association) in 1997 and 1998. Twenty years ago, it was my fervent hope that these initial forays, the first publications to ever describe not only how the aging process occurs, but the prospects for effective clinical intervention, would trigger interest, growing understanding, and clinical trials to cure age-related disease. Since then, I have published a what is still the only medical textbook on this topic (Cells, Aging, and Human Disease, 2004), as well as a more recently lauded book (The Telomerase Revolution, 2015) that explains aging and disease, as well as how we can intervene in both. While the reality of a clinical intervention has been slow to come to fruition, we now have the tools to accomplish those human trials and finally move into the clinic. In short, we now have the ability to intervene in aging and age-related disease.

Although we now have the tools, understanding has lagged a bit for most people. This knowledge and acceptance have been held back by any number of misconceptions, such as the idea that “telomeres fray and the chromosomes come apart” or that aging is controlled by telomere length (rather than the changes in telomere lengths). Academics have not been immune to these errors. For example, most current academic papers persist in measuring peripheral blood cell telomeres as though such cells were an adequate measure of tissue telomeres or in some way related to the most common age-related diseases. Peripheral telomeres are largely independent of the telomeres in our coronary arteries and in our brains and it is our arteries and our brains that cause most age-related deaths, not our white blood cells. The major problem, howevere, lies in understanding the subtlety of the aging process. Most people, even academics, researchers, and physicians, persist in seeing aging as mere entropy, when the reality is far more elusive and far more complex. Simplistic beliefs, faulty assumptions, and blindly-held premises are the blinders that have kept us powerless for so long.

It is time to tell the whole story.

While my time is not my own – I’d rather begin our upcoming human trials and demonstrate that we can cure Alzhiemer’s disease than merely talk about all of this – I will use this blog for a series of more than 30 mini-lectures that will take us all the way from “chromosomes to nursing homes”. We will start with an overview of aging itself, then focus in upon what actually happens in human cells as they undergo senesceence, then finally move downstream and look at how these senescent changes result in day-to-day human aging and age-relate disease. In so doing, when we discuss cell aging, we will get down into the nitty-gritty of ROS, mitochondria, gene expression, leaky membranes, scavenger molecules, molecular turnover, collagen, beta amyloid, mutations, gene repair, as well as the mathematics of all of this. Similarly, when we discuss human disease, we will get down into the basic pathology of cancer, atherosclerosis, Alzheimer’s, osteoporosis, osteoarthritis, and all “the heart-ache and the thousand natural shocks that flesh is heir to”. We will look at endothelial cells and subendothelial cells, glial cells and neurons, osteoclasts and osteoblasts, fibroblasts and keratinocytes, chondrocytes, and a host of other players whose failure results in what we commonly think of aging.

I hope that you’ll join me as we, slowly, carefully, unravel the mysteries of aging, the complexities of age-related disease, and the prospects for effective intervention.

December 31, 2017

Human Nature

Many of you have written to me, expressing surprise about the lack of public reaction (such as media interest) regarding the potential for telomerase therapy to treat age-related diseases. Some of you wonder why people (and particularly the media) “don’t get it”. I’ve had the same thought for a bit more than two decades now, since I published the first book and the first articles on the potential of telomerase therapy. The lack of understanding applies not only to the media, which is neither critical nor surprising, but to many in the investment community and to the pharmacology industry, which is critical if we are to save human lives.

The major reason for that lack of understanding is human nature. Most people have a firmly-held misconception about how aging works and never realize the error. Without thinking about it (which is the fundamental problem), most people think of aging as entropy. In reality, aging is a lot more complicated (as are most things). Aging isn’t the same as entropy; aging is the gradual inability of cell maintenance to keep up with entropy, which is a very different kettle of fish. Aging hinges on the balance between entropy and maintenance. If you think about it, that’s really what biology is all about: maintaining a extremely complex system in the face of entropy. Life is resistance to entropy. Life is continually building, recycling, and maintaining a complex system, that is continually coming apart, thanks to entropy. This is a balance that works quite well generally, which is why life still continues quite splendidly on this planet, a good three and a half billion years after it began. Who says you can’t resist entropy indefinitely?

Nor is aging universal, just because we see it in ourselves, our pets, and the animals we raise. In some organisms (some multi-cellular and some unicellular), aging never occurs. In other organisms (again, some multi-cellular and some unicellular), aging occurs quite predictably as maintenance slows down, allowing entropy to have its way as the organism ages, fails, and dies. While aging is a lot more than just entropy, most people never even begin to consider the facts and sail along with the unexamined assumption that “aging is entropy”.

It’s not that simple. It never is.

Nor are telomeres the “cause” of aging. Telomeres don’t cauase aging, they are just one (very important) part of an enormously complicated cascade of processes that result in age-related pathology and aging itself. Telomeres are important only because they play a key role at the crossroads of this cascade of pathology. Being at the crossroads, telomeres represent the single most effective point of intervention, both clinically and financially. Theye are the only place that we can entirely reset the gradualy deceleration in cell maintenance with a single intervention and it’s the only place that we can leverage our interventions into a strikingly lower cost of health care. Better care, for less cost.

The other problem that keeps people from appreciating the potential of telomerase therapy is inertia, or perhaps inertia and the fear of undermining their own careers. It’s not merely the inertia of never examining our assumptions, but the professional inertia that occurs when we suspect that – should we examine those assumptions – our entire professional lifetime of work may have been not only misdirected, but be seen as valueless, a truly frightening thought and an understandable fear. Human nature being what it is, the result is a stolid inertia from professionals who have spent many decades pursuing a faulty (and incomplete) model of aging and age-related disease. If any of us had spent 40 years of our professional life working for certain global pharmaceutical firms, for example, we would be loathe to give up the assumption that beta amyloid causes Alzheimer’s disease. After all, that model (despite lacking any support) has been the central focus, the raison-d’etre, for everything we have done professionally for several decades. Would any of us be willing to look clearly at reality, knowing that an honest, thoughtful, and careful appraisal of reality might suggest we had wasted those years, along with our personal efforts and dedication? It is asking too much of human nature. In a corporate, rather than a personal sense, this is equally true of drug companies that have invested hundreds of millions of dollars in what has now been proven to be a fruitless endeavor. The endeavor has been aimed at the wrong target, but it’s a lot of years, a lot of money, and a lot of effort, making it difficult to be honest about the prospects, let alone willing to go back to square one and ask if our assumptions were wrong in the first place. Old adages notwithstanding, people and institutions really do “throw good money after bad” and we do it both with a will and stunning consistency.

Yet, there is reason for a realistic optimism. Over the past two decades, there are a growing number of people who look at the data, reexamine their assumptions, and develop a close relationship with the reality of how aging works. That number continues to escalate, and the time when we can take telomerase therapy to an effective clinical trial continues to shrink. We see resources and commitment moving steadily toward a more sophisticated understanding of both Alzheimer’s disease and aging itself. The combination of resources and commitment will soon bring us to a new ability to treat diseases that, until now, have been beyond our understanding, let alone beyond our help.

We have the compassion to save lives; we will soon have the ability.

December 1, 2017

Big Pharma: Still Looking for the Horse

About a century ago, in a small American town, the first automobile chugged to a stop in front of the general store, where a local man stared at the apparition in disbelief, then asked “where’s your horse?” A long explanation followed, involving internal combustion, pistons, gasoline, and driveshafts. The local listened politely but with growing frustration, then broke in on the explanation. “Look”, he said, “I get all that, but what I still want to know is ‘where is your horse?’”

About three hours ago, in a teleconference with a major global pharmaceutical company, I was invited to talk about telomerase therapy and why it might work for Alzheimer’s, since it doesn’t actually lower beta amyloid levels. I explained about senescent gene expression, dynamic protein pools whose recycling rates slow significantly, causing a secondary increase in amyloid plaques, tau tangles, and mitochondrial dysfunction. The pharmaceutical executive listened (not so politely) with growing frustration, then broke in on the explanation. “Look”, she said, “I get all that, but what I still want to know is how does telomerase lower beta amyloid levels?”

In short, she wanted to know where I had hidden the horse.

The global pharmaceutical company that invited me to talk with them had, earlier this year, given up on its experimental Alzheimer’s drug that aimed at lowering beta amyloid levels, since it had no effect on the clinical course. None. They have so far wasted several years and several hundred million dollars chasing after amyloid levels, and now (as judged by our conversation) they still intent on wasting more time and money chasing amyloid levels. We offered them a chance to ignore amyloid levels and simply correct the underlying problem. While not changing the amyloid levels, we can clean up the beta amyloid plaques, as well as the tau tangles, the mitochondrial dysfunction, and all the other biomarkers of Alzheimer’s. More importantly, we can almost certainly improve the clinical course and largely reverse the cognitive decline. In short, we have a new car in town.

As with so many other big pharmaceutical companies, this company is so focused on biomarkers that they can’t focus on what those markers imply in terms of the dynamic pathology and the altered protein turnover that underlies age-related disease, including Alzheimer’s disease. And we wonder why all the drug trials continue to fail. The executive who asked about amyloid levels is intelligent and experienced, but wedded to an outmoded model that has thus far shown no financial reward and – worse yet – no clinical validity. It doesn’t work. Yet this executive met with me as part of a group seeking innovative approaches to treating Alzheimer’s disease.

Their vision is that they are looking for innovation.

The reality is that they are still looking for the horse.

October 10, 2017

Should everyone respond the same to telomerase?

A physician friend asked if a patient’s APOE status (which alleles they carry, for example APOE4, APOE3, or APOE2) would effect how well they should respond to telomerase therapy. Ideally, it may not make much difference, except that the genes you carry (including the APOE genes and the alleles for each type of APOE gene, as well as other genes linked to Alzheimer’s risk) determine how your risk goes up with age. For example, those with APOE4 alleles (especially if both are APOE4) have a modestly higher risk of Alzheimer’s disease (and at a lower age) than those with APOE2 alleles (expecially if both are APOE2).

Since telomerase doesn’t change your genes or the alleles, then while it should reset your risk of dementia to that of a younger person, your risk (partly determined by your genes) would then operate “all over again”, just as it did before. Think of it this way. If it took you 40 years to get dementia and we reset your risk using telomerase, then it might take you 40 years to get dementia again. If it took you 60 years to get dementia and we reset your risk using telomerase, then it might take you 60 years to get dementia again. It wouldn’t remove your risk of dementia, but it should reset your risk to what it was when you were younger. While the exact outcomes are still unknown, it is clear is that telomerase shouldn’t get rid of your risk, but it might be expected to reset that risk to what it was several years (or decades) before you were treated with telomerase. Your cells might act younger, but your genes are still your genes, and your risk is still (again) your risk.

The same could be said for the rate of response to telomerase therapy. How well (and how quickly) a patient should respond to telomerasse therapy should depend on how much damage has already occurred, which (again) is partially determined by your genes (including APOE genes and dozens of others). Compared to a patient with APOE2 alleles (the “good” APOE alleles), we might expect the clinical response for a patient with APOE4 alleles (the “bad” APOE alleles) to have a slightly slower respone to telomerase, a peak clinical effect that was about the same, and the time-to-retreatment to be just a big shorter. The reality should depend on how fast amyloid plaques accumulates (varying from person to person) and how fast we might be able to remove the plaque (again, probably varying from person to person). The vector (slope of the line from normal to onset of dementia) should be slightly steeper for those with two APOE4 alleles than for two APOE3 alleles, which would be slightly steeper than for two APOE2 alleles. Those with unmatched alleles (APOE4/APOE2) should vary depending upon which two alleles they carried.

To give a visual idea of what we might expect, I’ve added an image that shows the theoretical response of three different patients (a, b, and c), each of whom might respond equally well to telomerase therapy, but might then need a second treatment at different times, depending on their genes (APOE and other genes) and their environment (for example, head injuries, infections, diet, etc.). Patient c might need retreatment in a few years, while patient a might not need retreatment for twice as long.

 

October 4, 2017

The End Hangs on the Beginning

A major stumbling block in our understanding of age-related disease, such as Alzheimer’s, is a propensity to focus on large numbers of genes, proteins, etc., without asking what lies “upstream” that results in the associations between such genes (etc.) and the disease. While some would tout the advantages of using Artificial Intelligence to attack the problem, the problem with AI is that (like most scientists) it focuses on finding solutions only once the problem has been defined ahead of time. If, for example, we define Alzheimer’s as a genetic disease, then we will find genes, but will never reassess our unexamined assumption that AD is genetic. If we assume that it’s genetic, then we only look at genes. If we assume it’s due to proteins, then we only look at proteins. If we assume that it’s environmental, then we only look at the environment. Data analysis and AI, no matter how powerful, is limited by our assumptions. We tend to use large data analysis (and AI) in the same mode: without ever realizing we have narrowed our search, we assume that a disease is genetic and then accumulate and analyze huge amounts of data on gene associations. While AI can do this more efficiently than human scientists, the answers will always remain futile if we have the wrong question. Once we make assumptions as to the cause, we only look where our assumptions direct us. If we look in the wrong place, then money and effort won’t correct our unexamined assumptions and certainly won’t result in cures.

It’s like asking “which demons caused plague in Europe in the middle ages”? If we assume that the plague was caused by demons, then we will never (no matter how hard-working the researcher, how large the data set we crunch, or how powerful the AI we use) discover that the plague was caused by a bacteria (Yersinia pestis). If you look for demons, you don’t find bacteria. If you look for genes, you don’t find senescent changes in gene expression. The ability to find answers is not merely limited by how hard we work or how large the data sample, but severely and unavoidably limited by how we phrase our questions. We will never get anywhere if we start off in the wrong direction.

To quote the Latin phrase, “Finis origine pendet“. The end hangs on the beginning.

August 10, 2017

Progeria and Telomerase

Recently, John Cooke at the Houston Methodist Research Institute, showed that telomerase, when expressed in cells from progeric children, caused a “substantial physiologically relevant and meaningful effect on the lifespan and function of the cells.” As many of you know, progeria is a disease in which young children appear old, with baldness and osteoarthritis, and usually die of advanced cardiovascular disease, such as heart attacks, typically around age twelve. In short, they appear to have extremely rapid aging. Cooke’s results suggested that telomerase might offer a therapy. Oddly enough, both Cooke and the media described this finding as “surprising”.

While these results are promising, they are hardly surprising. In 1996, I published a book going into this prospect in detail, then wrote the first medical papers on this the medical potential in JAMA in 1997 and 1998. This was followed up with a medical textbook which explored the entire area in 2004, and another book in 2015 that described the medical potential of telomerase. What is truly surprising is not the most recent results, but that anyone finds the results at all surprising.

While not actually surprising, they present a bitter irony, in that any number of deaths, including deaths of progeric children, might have been prevented and may still be prevented if we only understand and act upon what we have known for two decades and which Cooke’s results only highlight again.

The irony – and my exquisite personal frustration – is that I proposed this approach annually in our global meetings for progeric children, starting twenty years ago. For about a decade, beginning several years before the turn of the millennium, I had been part of the annual global reunion of progeric children. Each year, we gathered with perhaps three dozen progeric children and their families from around the world, giving them a chance to meet one another, to talk with experts, and … to feel normal among other children and families who had the same problems. In 1999, among those progeric children was a young boy, whose parents were both physicians, and who were desperate to find a cure for progeria. Although I explained the potential of using telomerase as an intervention, they founded the Progeria Research Foundation and aimed it solely at genetic markers rather than epigenetic intervention. They managed to get significant funding through the NIH, fund raising, and government contacts in order to fund a set of studies that localized the genetic error responsible for progeria. As I predicted, none of the subsequent therapies based on their approach have had any effect on the disease. Worse yet, and like all the other progeric children I have known over the years, their son died of progeria. Had we gone straight to telomere-based interventions rather than taking the detour, many progeric children – not merely their son — might have been treated more effectively.

John Cooke and his colleagues have done well to show that they can reverse the problems seen in progeric cells, yet others have gone further. Maria Blasco’s group, for example, has shown that she can not merely reset aging in cells, as Cooke’s group has, but can do the same in animals. Moreover, we are collaborating with her group to take this approach in our upcoming human clinical trials next year, initially aiming at Alzheimer’s disease.

The fact that this comes as a surprise, given what we have known about the potential of telomerase for more than 20 years is a tragic example of wasted opportunities, wasted funding, and wasted lives. Telomerase was shown to reverse aging in cells 20 years ago; telomerase showed its value in animals 5 years ago; Telocyte is ready to show the benefits of telomerase in human trials next year.

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