Rapamycin extends lifespan and healthspan in mice, marmosets and every model organism tested. It’s almost as good as caloric restriction which has also been proven to extend lifespan (it’s just too miserable to do daily).

I’m expecting between a 7-15% increase in life expectancy for humans. This should take me well into my 90s. That’s when it gets trickier IMHO.

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It would make things so much easier for us if this was a default thing to look at. The problem is that drugs that treat certain conditions effectively might decrease lifespan which would make companies hesitant to release the data. It should be a mandatory release, but it should also be noted that sometimes a drug that treats a condition that shortens your life increases the lifespan for that individual if the condition is addressed.

So you would say that people here digging through all of this FDA data wouldn’t be of much use? Nothing to gain from it at all? Looking at rapamycin data for instance I don’t see anything of much use indicating you are correct that carcinogen/toxicology data ≠ lifespan data

Do you have a link to the podcast where you discuss this?

What makes you say this? This doesn’t seem true. Million Molecule Challenge uncovered Omipalisib as something that can increase lifespan in C Elegans. Was this known before? This is one such candidate to compare the carcinogenicity data, though looking it up I think it hasn’t gone through this process yet as it is still in trials.

This is a good starting point. As I said earlier I don’t see anything in the toxicology data from rapamycin indicating lifespan effects. This doesn’t mean we will never find useful data here for other substances.

13 NONCLINICAL TOXICOLOGY
13.1 Carcinogenesis, Mutagenesis, Impairment of Fertility

Carcinogenicity:
Carcinogenicity studies were conducted in mice and rats. In an 86-week female mouse study at sirolimus doses 30 to 120 times higher than the 2 mg daily clinical dose (adjusted for body surface area), there was a statistically significant increase in malignant lymphoma at all dose levels compared with controls. In a second mouse study at dosages approximately 3 to 16 times the clinical dose (adjusted for body surface area), hepatocellular adenoma and carcinoma in males were considered sirolimus-related. In the 104-week rat study at dosages equal to or lower than the clinical dose of 2 mg daily (adjusted for body surface area), there were no significant findings.

Genotoxicity:
Sirolimus was not genotoxic in:

  • the in vitro bacterial reverse mutation assay
  • the Chinese hamster ovary cell chromosomal aberration assay
  • the mouse lymphoma cell forward mutation assay
  • the in vivo mouse micronucleus assay

Female Fertility (Rat):
When female rats were treated by oral gavage with sirolimus and mated to untreated males, fertility decreased at 0.5 mg/kg (2.5-fold the clinical human dose on a BSA basis) due to decreased implantation. Reduced ovary and uterus weights were also observed. The NOAEL for female rat fertility was 0.1 mg/kg (0.5-fold the clinical human dose).

Male Fertility (Rat):
When male rats were treated by oral gavage with sirolimus and mated to untreated females, fertility decreased at 2 mg/kg (9.7-fold the clinical human dose on a BSA basis). Testicular, epididymal and prostate atrophy, seminiferous tubule degeneration, and reduced sperm counts were observed. The NOAEL for male rat fertility was 0.5 mg/kg (2.5-fold the clinical human dose).

Short-Term IV Study:
Testicular tubular degeneration was also seen in a 4-week intravenous study.

Was that from the 104 week study?

In rats:

https://www.accessdata.fda.gov/drugsatfda_docs/nda/99/21083A_Rapamune_phrmr_P2.pdf (p. 23).

Control 102/260 (39%)
0.05 mg/kg 57/130 (43%)
0.1 mg/kg 61/130 (47%)
0.2 mg/kg 56/130 (43%)

In rats for everolimus:

Control 146/240 (61%)
0.1 mg/kg 74/120 (62%)
0.3 mg/kg 90/120 (75%)
0.9 mg/kg 91/120 (76%)

For Everolimus in mice (101 weeks).
Control 127/240 (53%)
0.1 mg/kg 62/120 (52%)
0.3 mg/kg 67/120 (56%)
0.9 mg/kg 76/120 (63%)

“Age-related effects of the adrenal cortex, focal hypertrophy, hyperplasia and fatty vacuolation, were reduced in treatment groups” (p. 112).

https://www.accessdata.fda.gov/drugsatfda_docs/nda/2009/022334s000_PharmR.pdf (p. 104 and 97).

I don’t know how the dosages, protocol, etc, compare with e.g the ITP studies and don’t know if there’s any correlation for these two drugs.

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I asked ChatGPT how to find the data on the FDA website and this is what it gave me:
How to get there:

  1. Go to Drugs@FDA: FDA-Approved Drugs
  2. Search by Drug Name or Application Number.
  3. Click the link for your drug, then choose “Label” (PDF).
  4. Jump to Section 13 to read the two-year rodent study results.

That’s exactly what I did to find that data.

How did you find this? Give me the process. If we can get THAT data for every drug approved by the FDA that is a completely different story.

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Press Review after you’ve searched for a drug to get to the cfm page then the pharmacology review pdf. There might be links to all cfm pages here in this database as well: Drugs@FDA Data Files | FDA

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For so many drugs the information isn’t available on the site. Any idea how we can find these?

Nope, no idea, sorry.

Sorry, I wasn’t clear and tried to put too many different thoughts together. I’ll also use the excuse that I was jet-lagged and had just arrived in Dublin for the longevity conference slight_smile: I do think there’s value in digging through the carcinogenicity data to identify things that might impact lifespan. The strains used for the tox studies seem to be pretty short lived tho, if I’m reading this table correctly, so might not provide much useful information about normative aging. What I meant by “I think we already know all the drugs that have solid lifespan data in mice” is that we already know about all the drugs that have been previously tested for lifespan and had reasonable effect sizes, so I don’t anticipate any new findings of interest that direction from the existing literature (someone suggested a comparison between existing data - or at least that what I thought was being suggested). Anyway, you are absolutely correct that there are millions of possibilities to be tested still, especially if you consider combinations. It would be cool to see a top 20 list of drugs where survival is the highest at 104 weeks from the tox studies and also to see how much variation there is in control lifespan across these studies.

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Not quite the same but that Biobank study in the UK that came out showing survival rates among frequently prescribed drugs in humans was pretty important. I know you talked about this on your podcast. Plus, it was in humans and not rats.

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That we might have 2 year rat/mouse lifespan data for thousands of FDA approved drugs and with an unknown percent with long lived species, and there isn’t a public longevity database based on this data nor much mention of it is pretty shocking to me.

The efficient market hypothesis is a lie

At best it is a very lossy heuristic
The best things in life occur where EMH is wrong
In many cases it’s more accurate to model the world as 500 people than 8 billion
“Most people are other people”

– Nat Friedman https://nat.org/

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I have a plan to gather this data and put it into a publicly available database if people on Rapamycin News are interested in helping.

Rapamycin Longevity Lab has a Longevity Intervention Database (LID) Rapamycin Longevity Lab - It's time to speed things up!

Here is a template of the data needed for the LID: longevity database template.xlsx - Google Sheets

On this template you can see the input I used to create the Indolepropionamide (IPAM) entry to the LID.

The idea is that everyone interested in working on this would create their own copy of this template and begin gathering that data off the FDA website and filling in their copy of that template and we post our unique read only links on a page here on Rapamycin News.

Once the data is verified it will be put into the LID.

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Here’s a dataset with 538 pharmaceuticals, presumably with 104 week carcinogenicity studies in all of them.

https://iuclid6.echa.europa.eu/us-fda-toxicity-data

I’ve been thinking about ways to automate the process and if it would be possible to contact the FDA, at least the missing data might be found. They enforce the law only, so if there’s any law(s) that could help that would be important in that regard. The authors of the database above seems to have done it manually.

It says you need to sign in to download the files. Do you have a login to download the files? Can you post the files here? edit: I thought I needed to be in EU to make an account. I made one.

I’ve been looking through the iuclid6 database and I don’t think there’s much to be gained from it specifically, sorry, except if someone managed to extract which substances have a 104 week carcinogenicity study attached to them.

But I think we need the mortality table for every substance if available, along with it comes dose of course, sex, and add the species and URL. The best option is manual or automated extraction of mortality data from the pdfs IMO. Rapamycin Longevity Lab doesn’t seem to have the format for mortality tables.

I’ve just downloaded it. I don’t even know how to access the data. What even is this lol?

It would need to be manually translated to the Google Sheets template.

As of now it is a manual task.

The annoying thing is the data isn’t all centralized on the FDA website. It really should be, it’s a stupid design. But I’d say the data would be on the website of the companies that create the particular brands of those medications.

It would be quite an undertaking, but I feel like there could be some useful data in here.

As @mkaeberlein stated if we start with drugs already shown to have some efficacy at lifespan extension we could validate this model of getting lifespan data, and then look at other drugs.

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Here’s a few ITP drugs. I couldn’t find aspirin or simvastatin, and stopped at ursodiol. So when all of the data is gathered and analyzed someone could check the correlations with ITP studies and how they differ in e.g dosage. There’s probably more than the ITP that can be used to see the correlation of these 2-year studies with longer studies.

Enalapril

https://www.accessdata.fda.gov/drugsatfda_docs/nda/pre96/018998_Vasotec_pharmr.PDF (p 13-14)

Methylene blue

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https://www.accessdata.fda.gov/drugsatfda_docs/nda/2016/204630Orig1s000PharmR.pdf (p. 99 and 105).

Metformin




https://www.accessdata.fda.gov/drugsatfda_docs/nda/pre96/020357Orig1s000rev.pdf (p. 1054 and 1064)

Ursodiol

There’s a lot of tables in this one, not sure if I got the right ones. This one has do be redone as there’s like 5 different 104-week studies with different strains.


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Male mouse
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You need to use their custom software iuclid I think.