Hacker News new | past | comments | ask | show | jobs | submit | DavidSJ's comments login

The way Alzheimer's is diagnosed is by ruling out other forms of dementia, or other diseases. There is not a direct test for Alzheimer's, which makes sense, because we don't really know what it is,

Correction here: while other tests are sometimes given to rule out additional factors, there is an authoritative, direct test for Alzheimer's: clinically detectable cognitive impairment in combination with amyloid and tau pathology (as seen in cerebrospinal fluid or PET scan). This amyloid-tau copathology is basically definitional to the disease, even if there are other hypotheses as to its cause.


The article says:

Yet despite decades of research, no treatment has been created that arrests Alzheimer’s cognitive deterioration, let alone reverses it.

Nowhere in the article does it mention that anti-amyloid therapies such as donanemab and lecanemab have so far successfully slowed decline by about 30%. They may not yet be "arresting" (fully stopping) the disease, but it's pretty misleading for the article to completely omit reference to this huge success.

We are currently in the midst of a misguided popular uprising against the amyloid hypothesis. There were several fraudulent studies on amyloid, and those responsible should be handled severely by the scientific community. But these fraudulent studies do not constitute the foundational evidence for the amyloid hypothesis, which remains very solid.


From what I've read, those drugs are very good at removing amyloid, but despite that, they don't seem to make much of a noticeable (clinically meaningful) difference in the people treated with them. I personally would not call that a "huge success".

If they are so good at cleaning up the amyloid, why don't people have more of an improvement? I think everyone agrees amyloid is associated with Alzheimer's, the question is how much of a causative role does it play.


From what I've read, those drugs are very good at removing amyloid, but despite that, they don't seem to make much of a noticeable (clinically meaningful) difference in the people treated with them. I personally would not call that a "huge success".

After many decades of research, we've gone in the last few years from no ability whatsoever to affect the underlying disease, to 30% slowdown. To be clear, that's a 30% slowdown in clinical, cognitive endpoints. Whether you call that "meaningful" is a bit subjective (I think most patients would consider another couple years of coherent thinking to be meaningful), and it has to be weighed against the costs and risks, and there's certainly much work to be done. But it's a huge start.

If they are so good at cleaning up the amyloid, why don't people have more of an improvement?

No one is expected to improve after neurodegeneration has occurred. The best we hope for is to prevent further damage. Amyloid is an initiating causal agent in the disease process, but the disease process includes other pathologies besides amyloid. So far, the amyloid therapies which very successfully engage their target have not yet been tested in the preclinical phase before the amyloid pathology initiates further, downstream disease processes. This is the most likely reason we've seen only ~30% clinical efficacy so far. I expect much more efficacy in the years to come as amyloid therapies are refined and tested at earlier phases. (I also think other targets are promising therapeutic targets; this isn't an argument against testing them.)

I think everyone agrees amyloid is associated with Alzheimer's, the question is how much of a causative role does it play.

To be clear, the evidence for the amyloid hypothesis is causal. The association between amyloid and Alzheimer's has been known since Alois Alzheimer discovered the disease in 1906. The causal evidence came in the 1990's, which is why the scientific community waited so long to adopt that hypothesis.


Reading between the lines if we gave people those drugs before they show any symptoms we should be able to do even better. Has this been tested? How safe are those drugs? What should the average person be doing to avoid accumulating amyloids in the first place?


Reading between the lines if we gave people those drugs before they show any symptoms we should be able to do even better. Has this been tested?

I do expect early enough anti-amyloid treatment to essentially prevent the disease.

Prevention trials of lecanemab and donanemab (the two antibodies with the clearest proof of efficacy and FDA approval) are ongoing: https://clinicaltrials.gov/study/NCT06384573, https://clinicaltrials.gov/study/NCT04468659, https://clinicaltrials.gov/study/NCT05026866

They have not yet completed.

There were some earlier prevention failures with solanezumab and crenezumab, but these antibodies worked differently and never showed much success at any stage.

How safe are those drugs?

There are some real safety risks from brain bleeding and swelling, seemingly because the antibodies struggle to cross the blood-brain barrier, accumulating in blood vessels and inducing the immune system to attack amyloid deposits in those locations rather than the more harmful plaques in brain tissue. A new generation of antibodies including trontinemab appears likely to be both more effective and much safer, by crossing the BBB more easily.

What should the average person be doing to avoid accumulating amyloids in the first place?

There's not much proven here, and it probably depends on your individualized risk factors. There's some evidence that avoiding/properly treating microbial infection (particularly herpes viruses and P. gingivalis) can help, since amyloid beta seems to be an antimicrobial peptide which accumulates in response to infection. There may also be some benefit from managing cholesterol levels, as lipid processing dysfunction may contribute to increased difficulty of amyloid clearance. Getting good sleep, especially slow wave sleep, can also help reduce amyloid buildup.


What about supplementation with curcumin?


Would it be fair to say that it's causal in terms of process, but perhaps not in terms of initiation?

That is, there's a feedback loop involved (or, likely, a complex web of feedback processes), and if a drug can effectively suppress one of the steps, it will slow the whole juggernaut down to some extent?

Am reminded a little of the processes that happen during/after TBI - initial injury leads to brain swelling leads to more damage in a vicious cycle. In some patients, suppressing the swelling results in a much better outcome, but in others, the initial injury, visible or not, has done too much damage and initiated a failure cascade in which treating the swelling alone won't make any difference to the end result.


I’m not sure I understand the process vs. initiation distinction you’re asking about, but yes I do believe there are other targets besides amyloid itself which make sense even if the amyloid hypothesis is true. Anything in the causal chain before or after amyloid but prior to neurodegeneration is a sensible target.


Sure, I was just talking about a step in a feedback loop or degenerative spiral rather than whatever initiates the feedback loop in the first place.


>If they are so good at cleaning up the amyloid, why don't people have more of an improvement?

I have zero knowledge in this field, but there's a very plausible explanation that I think is best demonstrated by analogy:

If you shoot a bunch of bullets into a computer, and then remove the bullets, will the computer be good as new?


Have you seen the price of ammunition lately? I think we'll need a huge NIH grant to run that experiment.


... Had to wipe the screen.

THANK YOU

> a huge NIH grant

One sentence like a Simo Häyhä round.

NIH & grants are a result -- of what cause? Urgently I encourage curious minds to rigorously & objectively discover "what cause"


Does your computer exhibit any plasticity? After how long are we taking the post-sample?


Those quoting the 30% figure may want to research where that figure comes from and what it actually means:

“Derek Lowe has worked on drug discovery for over three decades, including on candidate treatments for Alzheimer’s. He writes Science’s In The Pipeline blog covering the pharmaceutical industry.

“Amyloid is going to be — has to be — a part of the Alzheimer’s story, but it is not, cannot be a simple ‘Amyloid causes Alzheimer’s, stop the amyloid and stop the disease,'” he told Big Think.

“Although the effect of the drug will be described as being about a third, it consists, on average, of a difference of about 3 points on a 144-point combined scale of thinking and daily activities,” Professor Paresh Malhotra, Head of the Division of Neurology at Imperial College London, said of donanemab.

What’s more, lecanemab only improved scores by 0.45 points on an 18-point scale assessing patients’ abilities to think, remember, and perform daily tasks.

“That’s a minimal difference, and people are unlikely to perceive any real alteration in cognitive functioning,” Alberto Espay, a professor of neurology at the University of Cincinnati College of Medicine, told KFF Health News.

At the same time, these potentially invisible benefits come with the risk of visible side effects. Both drugs caused users’ brains to shrink slightly. Moreover, as many as a quarter of participants suffered inflammation and brain bleeds, some severe. Three people in the donanemab trial actually died due to treatment-related side effects.”

https://bigthink.com/health/alzheimers-treatments-lecanemab-...

And here’s a Lowe follow-up on hard data released later:

https://www.science.org/content/blog-post/lilly-s-alzheimer-...


“Amyloid is going to be — has to be — a part of the Alzheimer’s story, but it is not, cannot be a simple ‘Amyloid causes Alzheimer’s, stop the amyloid and stop the disease,'”

It's not quite that simple, and the amyloid hypothesis doesn't claim it to be. It does, however, claim that it's the upstream cause of the disease, and if you stop it early enough, you stop the disease. But once you're already experiencing symptoms, there are other problem which clearing out the amyloid alone won't stop.

What’s more, lecanemab only improved scores by 0.45 points on an 18-point scale assessing patients’ abilities to think, remember, and perform daily tasks.

As I point out in another comment, the decline (from a baseline of ~3 points worse than a perfect score) during those 18 months is only 1.66 points in the placebo group, It's therefore very misleading to say this is an 18-point scale, so a 0.45 point benefit isn't clinically meaningful. A miracle drug with 100% efficacy would only achieve a 1.66 point slowdown.


“But once you're already experiencing symptoms, there are other problem which clearing out the amyloid alone won't stop.”

Ok, maybe we’re just arguing different points here. I’ll grant that amyloids have something to do with all of this. I’m having a more difficult time understanding why one would suggest these drugs to a diagnosed Alzheimer’s patient at a point where it can no longer help.

Or is the long term thought that drugs like these will eventually be used a lot earlier as a prophylactic to those at high risk?


I’m having a more difficult time understanding why one would suggest these drugs to a diagnosed Alzheimer’s patient at a point where it can no longer help.

My central claim is the the drugs help quite a lot, by slowing down the disease progression by 30%, and that it's highly misleading to say "only 0.45 points benefit on an 18 point scale", since literally 100% halting of the disease could only have achieved 1.66 points efficacy in the 18 month clinical trial.

This is like having a 100-point measure of cardiovascular health, where patients start at 90 points and are expected to worsen by 10 points per year, eventually dying after 9 years. If patients given some treatment only worsen by 7 points per year instead of 10, would you say "only 3 points benefit on a 100 point scale"?

Or is the long term thought that drugs like these will eventually be used a lot earlier as a prophylactic to those at high risk?

I do believe that they will be more (close to 100%) efficacious when used in this way, yes.


And that is the core problem with what happened. There may actually be a grain of truth but now there is a backlash. I'd argue though that the mounds of alternative explanations that weren't followed up on should likely get some priority right now since we know so little about them there is a lot to learn and and we are likely to have a lot of surprises there.

I see this as the same problem with UCT (upper confidence for trees) based algorithms. If you get a few initial random rolls that look positive you end up dumping a lot of wasted resources into that path because the act of looking optimizes the tree of possibilities you are exploring (it was definitely easier to study amyloid lines of research than other ideas because of the efforts put into it). Meanwhile the other possibilities you have been barely exploring slowly become more interesting as you add a few resources to them. Eventually you realize that one of them is actually a lot more promising and ditch the bad rut you were stuck on, but only after a lot of wasted resources. To switch fields, I think something similar happened to alpha-go when it had a game that ended in a draw because it was very confident in a bad move.

Basically, UCT type algorithms prioritize the idea that every roll should optimize the infinite return so it only balances exploration with exploitation. When it comes to research though the value signal is wrong, you need to search the solution space because your goal is not to make every trial find the most effective treatment, it is to eventually find the actual answer and then use that going forward. The trial values did not matter. This means you should balance exploration, exploitation AND surprise. If you do a trial that gives you very different results than you expected then you have shown that you don't know much there and maybe it is worth digging into so even the fact that it may have returned less optimal value than some other path its potential value could be much higher. (Yes I did build this algorithm. Yes it does crush UCT based algorithms. Just use variance as your surprise metric then beat alpha-go.)

People intrinsically understand these two algorithms. In our day to day lives we pretty exclusively optimize exploration and exploitation because we have to put food on the table while still improving, but when we get to school we often take classes that 'surprise' us because we know that the goal at the end is to have gained -some- skill that will help us. Research priorities need to take into account surprise to avoid the UCT rut pitfalls. If they had for the amyloid hypothesis maybe we would have hopped over to other avenues of research faster. 'The last 8 studies showed roughly the same effect, but this other path has varied wildly. Let's look over there a bit more.'


yeeeess...but when you look at the slope of the decline on the NEJM papers describing the clinical trials of lecanumab and donemumab...are you really slowing the decline?


To be clear, I think you're asking whether maybe the drugs just provide a temporary "lift" but then the disease continues on the same basic trajectory, just offset a bit?

The studies aren't statistically powered to know for sure, but on lecanemab figure 2, the between-group difference on CDS-SB, ADAS-Cog14, ADCOMS, and ADCS-MCI-ADL (the four cognitive endpoints) widens on each successive visit. Furthermore, while not a true RCT, the lecanemab-control gap also widens up to 3 years in an observational study: https://www.alzforum.org/news/conference-coverage/leqembi-ca...

On donanemab figure 2, there is generally the same pattern although also some tightening towards the end on some endpoints. This could be due to the development of antidrug antibodies, which occurs in 90% of those treated with donanemab; or it could be statistical noise; or it could be due to your hypothesis.


What kind of soured me on whether to recommend lecanumab in the clinic or not - the effect size and the slope, vs. the risk of hemorrhages/"ARIAS".

I mean, if you're looking at an steady 0.8 pt difference in CRS-SB, but the entire scale is 18 points, yes, it's "statistically significant" w/ good p-values and all, but how much improvement is there really in real life given that effect size?

Plus, if one is really going to hawk something as disease modifying, I'd want to see a clearer plateauing of the downward slow of progression, but it's pretty much parallel to the control group after a while.

There is some chatter in the Parkinson's world - the issue and maybe the main effort isn't so much clearing out the bad stuff (abnormal amyloid clumps/synuclein clumps) in the cells, it's trying to figure out what biological process converts the normal, functioning form of the protein into the abnormal/insoluble/nonfunctional protein.....at least assuming amyloid or synuclein is the root problem to begin with...


What kind of soured me on whether to recommend lecanumab in the clinic or not - the effect size and the slope, vs. the risk of hemorrhages/"ARIAS".

I don't claim that it's obviously the right move for every Alzheimer patient at the moment. It would be great to increase the effect size and reduce ARIA rates. My central claim, again, is that the amyloid hypothesis is correct, not that we have a cure.

the issue and maybe the main effort isn't so much clearing out the bad stuff (abnormal amyloid clumps/synuclein clumps) in the cells, it's trying to figure out what biological process converts the normal, functioning form of the protein into the abnormal/insoluble/nonfunctional protein

Yes, but it appears that these are one and the same thing. That is, amyloid and tau (mis)conformation seems to be self-replicating via a prion-like mechanism in locally-connected regions. This has been established by cryo-electron microscopy of human proteins, as well as controlled introduction of misfolded proteins into mouse brains.


Downvoters, are you sure you have a rational basis for downvoting this informative post? Do us HNers really know enough to discredit the amyloid hypothesis when 99.9% of us know nothing other than it's gotten some bad press in recent years?

I googled lecanemab and it does have the clinical support claimed. I don't see anyone questioning the data. I'm as surprised as anyone else, even a little suspicious, but I have to accept this as true, at least provisionally.

For anyone who wants to start grappling with the true complexity of this issue, I found a scholarly review [1] from October 2024.

[1] The controversy around anti-amyloid antibodies for treating Alzheimer’s disease. https://pmc.ncbi.nlm.nih.gov/articles/PMC11624191


https://www.reddit.com/r/medicine/comments/1057sjo fda_oks_lecanemab_for_alzheimers_disease/

"Lecanemab resulted in infusion-related reactions in 26.4% of the participants and amyloid-related imaging abnormalities *with edema or effusions in 12.6%*."

https://en.wikipedia.org/wiki/Cerebral_edema

"After 18 months of treatment, lecanemab slowed cognitive decline by 27% compared with placebo, as measured by the Clinical Dementia Rating–Sum of Boxes (CDR-SB). This was an absolute difference of 0.45 points (change from baseline, 1.21 for lecanemab vs 1.66 with placebo; P < .001)"

https://www.understandingalzheimersdisease.com/-/media/Files...

Sum of boxes is a 19 point scale. So, for those keeping track at home, this is an incredibly expensive treatment that requires premedication with other drugs to control side affects as well as continuous MRIs for an ~%2.3 absolute reduction in the progression of dementia symptoms compared to placebo, with a 12% risk of cerebral edema.

Now, I'm no neurologist, but I'd call that pretty uninspiring for an FDA-approved treatment.


"This was an absolute difference of 0.45 points (change from baseline, 1.21 for lecanemab vs 1.66 with placebo; P < .001)"

Sum of boxes is a 19 point scale.

It's an 18 point scale, but more to the point: the decline in the placebo group was only 1.66 points over those 18 months, and the mean score at baseline was just over 3 points. So even 100% efficacy could only possibly have slowed decline by 1.66 out of 18 points (what you would call a 9.2% absolute reduction) in the 18 months of that experiment. And full reversal (probably unattainable) would have only slowed decline by about 3 points.

I agree that the side effects of anti-amyloid therapies are a serious concern. The reasons for this are being understood and corrected in the next generation of such therapies. For example, I expect trontinemab to achieve better efficacy with much greater safety, and there is already preliminary evidence of that. Furthermore, there are improved dosing regimens of donanemab which improve side effects significantly.

Note that my claim is not that the existing drugs are stellar, and certainly not that they're panaceas. Simply that the amyloid hypothesis is true and there has been tremendous progress based on that hypothesis as of late.


As much as you're chiding people for being a part of a "misguided popular uprising", you're not really making a good case for anti-amyloid therapies. It started at "wow, 30%!" in this comment chain, and now it's at "barely having an effect over a placebo" being tremendous progress?


It seems like you didn’t understand my comment if you think I’ve changed my position from 30% efficacy.


I don't think you've changed your position. Reading the thread, your mention of 30% is super misleading and you should've lead with how little progress has been made instead of chastising people correctly upset with the lack of progress.


You have to understand that CDR-SB is a very sensitive measurement. Yes, it's an 18-point scale, but from 4.5 to 18 it's just measuring how bad the dementia has gotten. The vast, vast majority of healthy people will score 0. Going from 0 to 0.5 is a massive difference in cognitive ability.


To emphasize your point, I don't think anyone will notice if someone's alzheimers is 2.3% better.

These rating scales like CDR-SB (invented by drug companies or researchers who are funded by drug companies) are very good at making the tiniest improvement sound significant.


> Downvoters, are you sure you have a rational basis for downvoting this informative post?

Citing relative improvement (30%) instead of absolute improvement (2%) and not explicitly designating it as such.


“Slowed decline by 30%” is explicitly designating it as such.


I disagree. "Slowed decline by 30%" to me means an absolute reduction of 30% in some rate expressed as unit X over unit time, and that's what I thought you meant until another commenter pointed out that it was a relative reduction. IMHO it's not an explicit callout unless you are using the words 'relative' and or 'absolute'


I did not downvote, but OP failed to provide a link to back up his claim, or to make explicit what "slowing decline by about 30%" even means.

In light of the fraudulent and scandalous approval of aducanumab [0] (which also targeted amyloid), such claims must be thoroughly referenced.

[0] https://en.wikipedia.org/wiki/Aducanumab#Efficacy


If it helps, here’s info from Dr. Derek Lowe, a 30+ year pharma chemist and author of In The Pipeline. For further research on the topic, he has many other posts on the topic, some of which are linked in the links below.

https://www.science.org/content/blog-post/aduhelm-again

https://www.science.org/content/blog-post/goodbye-aduhelm

https://www.science.org/content/blog-post/alzheimer-s-and-in...


How do you know what the downvote status is?


There is anecdotal evidence and perhaps even some small studies showing that a keto diet can halt and even reverse Alzheimer's symptoms.

Compared to that, reducing the speed of decline isn't terribly impressive. It's better than nothing to be sure! But what people want is BIG progress, and understandably so. Billions have been spent.


Billions have been spent because it's a challenging disease to understand and treat. I want big progress too. But we shouldn't let our desire for big progress cause us to lose our ability to objectively evaluate evidence.

I have no opposition to a properly controlled randomized controlled trial of the keto diet, or other proposed therapies (many of which have been conducted, and are for targets other than amyloid which are completely compatible with the amyloid hypothesis). Until a proper RCT of keto is conducted, anecdotal claims are worth very little compared to the evidence I referred to.


I'm far, far more interested in anecdotes about completely halting or reversing decline than I am in rock solid data about a 30% reduction in decline speed.

Antibiotics started out as an anecdote about something whose effect was so stark it couldn't be missed. Chasing promising anecdotes is far more valuable (in my opinion) than attempting to take a 30% effect to a 100% effect.

Others are free to feel differently of course. I'm open to hearing about 100 different times that finding a tiny effect that got grown and magnified into a huge effect that totally changed medicine. I'm just not aware of many at this point.


You can be interested in what you want. But the interest in anti-amyloid therapy came from the basic science indicating amyloid pathology as the critical but-for cause of the disease. It wasn't just a blind shot in the dark.

To my knowledge, there's no such basic science behind a keto diet for Alzheimer's.


Turns out there are enough studies for a meta analysis. Is that basic science? I'm not sure what counts.

https://www.sciencedirect.com/science/article/pii/S127977072...

If amyloid is truly the critical "but for" cause then how on earth is it possible that reducing amyloid burden doesn't really make a difference?

https://scopeblog.stanford.edu/2024/03/13/why-alzheimers-pla...


Turns out there are enough studies for a meta analysis. Is that basic science?

Basic science in this context means research investigating the underlying disease process to develop knowledge of how it works mechanistically, as distinguished from (and as a precursor to) developing or testing treatments for the disease. This helps us direct resources in plausibly useful directions rather than merely taking shots in the dark, and it also helps us to interpret later clinical findings: e.g. if we see some cognitive benefit in a three-month trial, is that because the underlying disease process was affected (and hence the benefit might persist or even increase over time), or might it be because there was some symptomatic benefit via a completely separate mechanism but no expectation of a change in trajectory? For example, cholinergic drugs are known to provide symptomatic benefit in Alzheimer disease but not slow the underlying biological processes, so that worsening still continues at the same pace. Or if we see results that are statistically borderline, is it still worth pursuing or was the very slight benefit likely a fluke?

So a meta-analysis of ketogenic diets in Alzheimer disease is not basic science, though that doesn't mean it's useless. But what I'm saying is it's really helpful to have a prior that the treatment you're developing is actually targeting a plausible disease pathway, and the amyloid hypothesis gives us that prior for amyloid antibodies in a way that, to my knowledge, we don't have for ketogenic diets.

https://www.sciencedirect.com/science/article/pii/S127977072...

Thanks, I just took a look at this meta-analysis. The studies with the strongest benefits on the standard cognitive endpoints of MMSE and ADAS-Cog — Taylor 2018, Qing 2019, and Sakiko 2020 — all lasted only three months, which makes me suspect (especially given the context of no theoretical reason to expect this to work that I'm aware of) this is some temporary symptomatic benefit as with the cholinergic drugs I mentioned above.

But it's enough of a hint that I'd support funding a long-term trial just to see what happens.

If amyloid is truly the critical "but for" cause then how on earth is it possible that reducing amyloid burden doesn't really make a difference?

I've argued elsewhere in the thread that it does make quite a difference, but there's still a lot of work to do, and I've said what I think that work is (mainly: improving BBB crossing and administering the drugs earlier).


There was absolutely no theoretical reason that some moldy cheese would kill bacteria but thankfully Fleming noticed what happened and we got antibiotics.

There was no theoretical reason that washing your hands would do anything to combat the spread of disease and all the smart doctors knew otherwise. Some kooky doctor named Semmelweisz proposed that doctors should wash their hands between childbirths in 1847, 14 years before Pasteur published his findings on germ theory in 1861. When some doctors listened to him maternal mortality dropped from 18% to 2%.

I'm all for basic science when the statistical significance becomes so great it really starts to look like causality and then you start figuring stuff out.

It doesn't seem like the statistical significance of the amyloid theory is strong enough that the direction of the arrow of causality can be determined. That's too bad.

The strength of the effect of keto diet interventions in Alzheimer's is pretty strong to my understanding. Which should be aggressively hinting that there's likely some as-yet unknown causality that's worth investigating. We don't have to spend billions to do that. But we do need more funding for it which is hard to get while all the amyloid hypothesis folks are really invested and clamoring.


There was absolutely no theoretical reason that some moldy cheese would kill bacteria but thankfully Fleming noticed what happened and we got antibiotics.

Again, I'm in favor of people investigating all sorts of random shit.

I agree that sometimes unexpected things pan out. If you want to run a carefully conducted, large long-term trial on ketogenic diets in Alzheimer's, I support you. I'm just skeptical it'll pan out, and on priors I'll put greater expectation on the approach with a scientifically demonstrated mechanistic theory behind it.

I'm all for basic science when the statistical significance becomes so great it really starts to look like causality and then you start figuring stuff out.

It doesn't seem like the statistical significance of the amyloid theory is strong enough that the direction of the arrow of causality can be determined.

What are you basing this one? The p-value on lecanemab's single phase 3 trial was below 0.0001. And the causal role (not mere association) of amyloid in the disease has been demonstrated for years before significant efforts were invested developing therapies to target amyloid in the first place; most convincingly in the genetic mutations in APP, PSEN1, and PSEN2.


I agree more science is certainly better than less. But patentable therapies will always get a disproportionate amount of funding for big science (versus a basically-free dietary change).

For ketones and cognition, also look for studies on MCT oil. Such as https://pmc.ncbi.nlm.nih.gov/articles/PMC10357178/


There are certainly theoretical reasons why it might help. There is definitely a link between AD and blood sugar. Having diabetes doubles your risk of AD. The brain regions hit first and worst in AD have the highest levels of aerobic glycolysis (in which cells take glucose only through glycolysis and not oxidative phosphorylation, despite the presence of adequate oxygen).

To the extent a keto diet can reduce resting blood sugar levels and improve insulin sensitivity, there is good reason to think it is a candidate to slow AD.


It's possible you might adopt a different attitude if one day you're diagnosed with rapid onset Altzheimer. At that stage you'd be forgiven for muttering 'basic science be blowed'. Keto (or whatever) offered some relief for my friend Bill, I'll give it a try given it's my survival at stake.

Plate tectonics was suggested in 1913 and not supported (to put it politely) at that point by 'basic science'. It took until 1960 to be accepted. A paradigm shift was needed as Kuhn explained.

Meanwhile, this paper (2024) https://www.sciencedirect.com/science/article/pii/S127977072... 'Effects of ketogenic diet on cognitive function of patients with Alzheimer's disease: a systematic review and meta-analysis'

concludes "Research conducted has indicated that the KD can enhance the mental state and cognitive function of those with AD, albeit potentially leading to an elevation in blood lipid levels. In summary, the good intervention effect and safety of KD are worthy of promotion and application in clinical treatment of AD."


There are also studies showing a plant-based diet can reverse Alzheimer's symptoms as well. It has to do with atherosclerosis.


Can you provide a source for this?

I'm not aware of any RCT showing long-term improvement of Alzheimer's symptoms from any treatment. I am aware of 1) long-term slowing of worsening (not improvement) from anti-amyloid therapy, 2) short-term benefits but no change in long-term trajectory from other therapies, and 3) sensational claims without an RCT behind them.


> Every waste of money is not a Ponzi scheme.

Using this as an opportunity to grind an axe (not your fault, cactusfrog!): I find it clearer when people write "not every X is a Y" than "every X is not a Y", which could be (and would be, literally) interpreted to mean the same thing as "no X is a Y".


On a few occasions I’ve called the phone number on a professional vehicle’s “how’s my driving?” bumper sticker to report the driver for good driving. It’s always a fun experience.


Amazing idea. I’m sure the person on the line is… not used to this.

I remember one time having a super helpful person at Home Depot walk me through a home project I needed some advice on so I asked to talk to their manager to compliment/thank them.

After a few minutes the manager came over and looked so ready for me to berate them about something only to look incredibly shocked that I was actually complimenting the service I had just received. Was nice for everyone.


I’ve done this a few times in the past as well. But I found it’s less stressful for everyone if you preface it first like, “You’ve been really helpful. Can I tell your manager or mention you in a survey or something?” (Note: direct managers at stores don’t always have the ability to do much to reward good employees and it might be more helpful to fill out a survey or something that corporate sees.)


I would be worried about angering the manager if they learned that this super-helpful employee spent half an hour chit-chatting with a customer instead of doing other tasks. Kinda like how agents are under time pressure in call centers.


That's quite nice of you, though I don't think it is as rare as you suspect. My son works retail as a supervisor and his report is that, while complaints are the main reason customers escalate to him, he does reasonably frequently also get customers who want to compliment an employee.


I've thought about doing that kind of thing but always worry that it might end up hurting them if the company has some kind of binary "number of complaint line phone calls" metric for each employee.

I've heard too many horror stories about employees/stores getting punished when you give them 4 out of 5 stars since (according to upper management) it implies that something was less than perfect.


I once hit one star by accident so I called back and navigated multiple transfers back to the same call center's manager to let them know it was intended to be five stars. Everyone I spoke to seemed quite charmed as it had never happened before.


I often give drivers a thumbs up when they are careful around bikes. German drivers are especially wary of cyclists, and I'm often surprised by how constantly they look out for me.


Be careful there! You need only one idiot to become a meat in a wheelchair. It’s my personal data point. Luckily it was only very close call. I can walk, run and dance again.


Which is why I am grateful for decent drivers. There’s a reason I don’t ride motorcycles anymore though!


I’ve done that in bad weather. The professional drivers will keep the speed over the passes. I love reporting this. I’ve seen so many people drive in the ice and snow like it’s dry pavement and end up crashed.


I've tried similar things and the person on the other end isn't interested. I'm bothering / interrupting them by trying to call in and praise someone. They're not being incentivized to take praise calls.


I have done this and was told that the driver gets a safe driving certificate. (I was specifically calling because I had watched a semi prevent an accident by turning on their flashers and blocking lanes)


When working with technicians I like to tell them and their manager that they’re doing a great job, 5/5 stars. I usually also throw in that whatever they’re being paid, it’s not enough.


The customer service people at 1-800-EAT-SHIT laughed at me when I did that. Then they sold me some of my own "Don't like my driving? Call 1-800-EAT-SHIT!" bumper stickers.


I do the same at restaurants; ask to see the manager then tell them that my server has been extraordinary (when they have been). I try not to do this when it's obviously busy, etc. I also don't try to fool them with a stern "see your manager" demand then trick them.


I once called the "send us your ideas" feedback hotline of a highway station, suggesting this and that. The person on the phone was like "ok... but do you have complains? why are you even suggesting ideas?"


— Alright, I’d like to also lodge a complaint.

— Now we’re talking. What is it?

— I want to complain you’re not taking my suggestions seriously.


I should start doing this. Fine idea


What were the contradictions?


Here's a Wayback mirror since the server appears to be struggling: http://web.archive.org/web/20240402165313/https://isoe-netwo...

Edit: While the above link works for me, this link might work better for some: http://web.archive.org/web/20240402165313if_/https://isoe-ne...


That's a pretty good post-mortem report. I hope they have implemented all the proposed process changes.


Wayback link seems to only show the first slide without an option to move forward.


It just displays an image c


Nitpick: The expected value of the cosine is 0 even in low-dimensional spaces. It’s the expected square of that (i.e. the variance) which gets smaller with the dimension.


That totally makes a sense, thanks!


Would you be willing to describe in a bit more detail what your rich visual memory is like?


The full list from the article:

    8VC Opportunities Fund II, L.P.
    ADREM X LLC
    ADREM Y LLC
    Afshar Partners, LP
    Andrea Stroppa
    Andreessen Horowitz LSV Fund III, L.P.
    Anthem Ventures, LLC
    ARK Venture Private Holdings LLC
    BAMCO, Inc.
    Bandera Fund LLC
    Baron Opportunity Fund
    Baron Partners Fund
    Binance Capital Management Co., Ltd
    Brookfield Project X L.P.•CCM 2020 Investments LLC
    Cheng and Chen Family Trust
    CNK Fund IV, L.P.
    Danilo Kawasaki
    Dayton Family Enterprises, LLC
    Dayton Family Investments, LLC
    DFJ GROWTH IV, L.P.
    DFJ GROWTH IV PARALLEL FUND, LLC
    DFJ GROWTH X-I, L.P.
    Eden Relationship Capital L.P.
    Elon Musk as Trustee of the Elon Musk Revocable Trust dated July 22, 2003
    FIAM Target Date Blue Chip Growth Commingled Pool By: Fidelity InstitutionalAsset Management Trust Company as Trustee
    Fidelity Blue Chip Growth Commingled Pool By: Fidelity Management TrustCompany, as Trustee
    Fidelity Blue Chip Growth Institutional Trust By its manager Fidelity InvestmentsCanada ULC
    Fidelity Canadian Growth Company Fund by its manager Fidelity InvestmentsCanada ULC
    Fidelity Central Investment Portfolios LLC: Fidelity U.S. Equity Central Fund -Communication Services Sub
    Fidelity Contrafund: Fidelity Advisor New Insights Fund – Sub A
    Fidelity Contrafund: Fidelity Advisor New Insights Fund – Sub B
    Fidelity Contrafund: Fidelity Contrafund•Fidelity Contrafund: Fidelity Contrafund K6
    Fidelity Contrafund: Fidelity Series Opportunistic Insights Fund
    Fidelity Contrafund Commingled Pool By: Fidelity Management Trust Company,as Trustee
    Fidelity Destiny Portfolios: Fidelity Advisor Diversified Stock Fund
    Fidelity Global Growth and Value Investment Trust – Sub A By its manager Fidelity Investments Canada
    Fidelity Global Innovators Investment Trust by its manager Fidelity InvestmentsCanada ULC
    Fidelity Growth Company Commingled Pool By: Fidelity Management TrustCompany, as Trustee
    Fidelity Insights Investment Trust By its manager Fidelity Investments CanadaULC
    Fidelity Mt. Vernon Street Trust: Fidelity Growth Company Fund
    Fidelity Mt. Vernon Street Trust : Fidelity Growth Company K6 Fund
    Fidelity Mt. Vernon Street Trust: Fidelity Series Growth Company Fund
    Fidelity OTC Commingled Pool By: Fidelity Management Trust Company, as Trustee
    Fidelity Puritan Trust: Fidelity Puritan Fund – Equity Sub B
    Fidelity Puritan Trust: Puritan K6 Fund – Equity Subportfolio•Fidelity Securities Fund: Fidelity Blue Chip Growth Fund
    Fidelity Securities Fund: Fidelity Blue Chip Growth K6 Fund
    Fidelity Securities Fund: Fidelity OTC K6 Portfolio
    Fidelity Securities Fund: Fidelity OTC Portfolio
    Fidelity Select Portfolios : Select Communication Services Portfolio•G64 Ventures LLC
    Gerber Kawasaki Inc.
    GFNCI LLC
    Gigafund 0.21, LP
    Glacier Ventures LLC
    Go Mav, LLC
    HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud
    HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud
    IMG US, LLC
    Jack Dorsey Remainder LLC
    Jack Dorsey Tr Ua 12/08/2010 Jack Dorsey Revocable Trust
    Kingdom Holding Company
    Lawrence J. Ellison Revocable Trust
    Linda Ye and Robin Ren Family Foundation
    Litani Ventures•Luchi Fiduciaria SR POS. 365
    Manhattan Venture Partners X LLC
    Mirae Asset Innovation X ONE, LLC
    Mirae Asset Project X Fund I, LP•Olivier Janssens
    Q Tetris Holding LLC
    Ross Gerber
    Santo Lira LLC
    SC CDA1 LLC
    SCGE Fund, L.P.•SCGGF III – U.S./India Management, L.P.
    SCHF (M) PV, L.P.
    Scott Nolan
    SC US/E Expansion Fund I Management, L.P.
    Sean Combs Capital, LLC
    Sequent (Schweiz) AG as Trustee of the Debala Trust
    Sequioa Capital Fund, L.P.
    Series N Dis, a series of Atreides Special Circumstances Fund, LLC
    Shahidi Tactic Group, LLC
    Steve Davis
    T. One Holdings LLC
    The Pershing Square Foundation
    TM33 Partner Holdings
    Tresser Blvd 402 LLC
    UnipolSai S.P.A.
    Variable Insurance Products Fund II: VIP Contrafund Portfolio – Subportfolio A
    VYC25 Limited
    X Holdings I Investment, LLC


Even professional investors can make terrible deals.


They rarely beat the market... Those who do are rather special cases.


Be that as it may, Llama 3.1 70B is not the big Llama.


I fixed it.


Join us for AI Startup School this June 16-17 in San Francisco!

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: