SGLT2 inhibitors were significantly associated with a lower Parkinson’s disease risk (OR: 0.37; 95% CI: 0.13–1.01) than placebo. The neuroprotective effect is not only due to glycemic control, as other anti-diabetic drugs do not perform as well.
I can confirm that you will NOT be 1 point higher on your IQ and will definitely have blue teeth lol.
Did 20 drops a day for about couple weeks while back, couldn’t say anything bad or good. I might have felt a bit stronger (e.i. felt a bit easier than usual carrying 40 water bottles from Costco) but then could have been other things I do. as far as alertness or sharpness didn’t feel that at all.
In Dr. Attias new video Dr. Miller said the most recent ITP Canagliflozin trial increased male life expectancy but DECREASED female mouse life expectancy. He believes this to be a dosing issue. Higher doses may decrease life expectancy. Even though both males and females received the same dose he believes that the liver enzymes difference between males and females ended up giving the females an effective higher dose.
Thanks @DeStrider . Please note that I am talking about a clinical trial - aka in humans.
(Different from a rodent study).
I had not previously seen any direct aging measurements of Cana / SGLT2i, or according to the Harvard prof at least Epigenetic data from humans, so interesting in what the trial he referred to is.
In the prof’s same list (see above, and reproduced below) he also says there is a clinical trial / human trial of rapa with epigentic age measurements.
Do not think this forum or Dr Attia has commented on either of those and seems like extremely valuable info.
All of these are clinical / human - and all have some epigentic age measurement component.
The problem is that epigenetic age measurements are not accurate. As Dr. Miller said, when you are sick, your epigenetic age increases. When you get better it decreases. When a woman is pregnant, her epigenetic age increases. When she gives birth it decreases. When you have a deadline at work, your epigenetic age increases. When it’s past your age decreases. I’m not sure how much trust I can put in epigenetic tests.
I’d still take nice info + human epigentic age info vs only nice info
Or you saying you’d prefer to not look at human epigentic profiles of someone taking rapa or Cana/SGLT2i?
Many of the effects you mentioned in your last post should be controlled for/aberage out with group sciences in a clinical trial
There are enough ultra smart and credible profs feeling that there is value in epigentic profiles that I’d rather look at that info than not (Levine, Horvarth, Gladyshev) even if one should look at it with caution.
I agree it’s the early days of epigentic clocks
But even Rich Miller - on last week’s Peter Attia podcast - proactively mentioned work on epigentic clock stuff in the context of ITP’s post experiment tissues - so your read seems perhaps more negative than his own current/latest read
You can put as much faith as you’d like in epigenetic tests. However, to me, they’re not developed enough to provide much useful information for the cost. I’ve taken many of these tests and they’re all over the board for me. Anywhere from 20 years younger to 20 years older. That’s a pretty wide range.
It’s like if I were to ask you to guess how many marbles are in a jar and you told me somewhere between 5 and 20,000.
Also, my father and I both took epigenetic age tests and we both came in at 12 years older. I take Rapamycin and he doesn’t. He goes to the gym 3X a week, is a vegetarian, and weighs 150 lbs. I don’t go to the gym, am an omnivore, and weigh much more. If the healthiest guy I know has an age 12 years higher than his real age 89 vs 77, I really have a hard time trusting epigenetic tests.
Aging.ai said I was 20 years younger and Levine said I was 10 years younger. After taking Rapamycin, my epigenetic age decreased 7 years, my aging.ai age went up 10 years and my Levine age stayed the same. What should I make of that?
I agree. Rationally I can’t say out loud that more information isn’t better. But I do think about how much bad or misleading information I should let get into my head for my emotions to work on.
For example, an MRI of an older persons knee would not look like a 20 yo knee. It would (probably) look like something is wrong. But most likely nothing is “wrong” based on what can be seen. Even if there is pain, the structures seen in the image were probably there before the pain started. So how much help did the MRI information add to my decision making ability?
I am not getting an epigenetic age test yet. I will get one when the tests mean more than they do now. It’s a personal choice for sure.
Totally hear you. And think they make more sense in group settings so far as a clinical trial when you can compare the intervention vs control across many and look at the averages.
Still having said that, I think I’ll personally build up some individual epigentic tests on myself also so that I can have the time series to look back on in the future
it’s also seems like later algorithms might be possible to run on todays data, think some of the companies are even offering to do that as the clocks and algo’s get better in the future “backward compatibility”
Its impossible to tell with any precision. There have been no longevity studies with Dapa… so its hard to be sure. They are both SGLT2 inhibitors, but beyond that, you’d need some lifespan studies comparing the two to be sure of its efficacy. But, its not a stretch to expect similar results as with Cana.
A few papers looked at mortality rates and compared the various SGLT2 inhibitors (although, bear in mind that SGLT2 inhibitors only arrived in the market in 2012, so it’s fairly recent to conclude):
Canagliflozin, dapagliflozin and empagliflozin all had a beneficial effect on all-cause mortality compared with placebo. In head-to-head comparisons, the analysis suggests that empagliflozin is superior to both canagliflozin and dapagliflozin. No other head-to-head comparison of any pair of treatments (including non-SGLT2 treatments) found a significant difference between agents, though for most of these comparisons, the 95% CI was wide.
The HRs for all-cause mortality in empagliflozin (N = 16 738), dapagliflozin (N = 26 208), canagliflozin (N = 14 543), and sotagliflozin (N = 11 806) were 0.86 (0.69-1.08), 0.83 (0.72-0.97), 0.86 (0.75-0.97), and 0.95 (0.81-1.11), respectively. […] Canagliflozin possibly reduces both all-cause mortality and CV mortality, whereas dapagliflozin may reduce all-cause mortality but not CV mortality. Empagliflozin and sotagliflozin may reduce neither.
Canagliflozin is especially associated with an increased risk of lower-limb amputation than empagliflozin. Dapagliflozin has a high risk for toe amputation. […]
The risk for diabetic ketoacidosis is highest for canagliflozin, followed by empagliflozin and dapagliflozin. […]
Ertugliflozin and canagliflozin have been associated with euglycemic DKA. However, other SGLT-2 inhibitors also have a risk for euglycemic DKA. […]
A recent pharmacovigilance study conducted FDA’s Adverse Event Reporting System (FAERS) database revealed that canagliflozin had a significant association among SGLT2 inhibitors for acute kidney injury. […]
Statistical analysis of 22 RCTs indicates that dapagliflozin is associated with bladder cancer. The use of dapagliflozin is not advised in patients with active bladder cancer. However, the meta-analysis revealed that SGLT2 inhibitors were not significantly associated with an elevated cancer risk compared with comparators. […]
Canfliglozin is associated with an increased risk of hyperkalemia, especially when combined with ACE inhibitors or ARBs in patients with renal impairment.
“However, in patients without T2D, these drugs induce small to negligent A1c reductions because the urinary glucose losses are offset by augmented hepatic gluconeogenesis.11,12 In normotensive, nonobese individuals, SGLTi-induced changes in BP and weight are minimal to absent.12 Yet, in all patients, the SGLTi-induced glucosuria and natriuresis bestow cardioprotective and renoprotective actions such as decreasing preload and afterload in the heart and suppressing sympathetic overactivity.9” https://www.sciencedirect.com/science/article/pii/S0033062023001068?via%3Dihub#bb0045
