Is anyone interested in working with me to develop some queries for AI? I need a list of all the drugs available. I cleaned up a partial list, and made a CSV of all the single results so far and fed that into a local fuseo1 fine tune deepseek R1 so far with these queries:
Pick the top 25 combo of 2 choices from the below list to try on c. elegans for lifespan extension, and provide the reason: [list]
Given this csv of results where you want a high % change in median lifespan (instead of zero or negative), how would you change your list? [csv]

### Top 25 Combinations for Lifespan Extension in C. elegans

1. **Doxycycline HCl & Sulforaphane**
  * *Rationale*: Both are potent antioxidants with complementary mechanisms.
2. **Sulforaphane & Azathioprine**
  * *Rationale*: Combines antioxidant effects with immune modulation.
3. **Azathioprine & Nilvadipine**
  * *Rationale*: Combines immune effects with cardiovascular benefits.
4. **Nilvadipine & GSK2126458**
  * *Rationale*: Targets cardiovascular health and metabolic regulation.
5. **GSK2126458 & D-Mannitol**
  * *Rationale*: Combines metabolic regulation with osmotic protection.
6. **D-Mannitol & Xylose**
  * *Rationale*: Combines osmotic effects with dietary sugar benefits.
7. **Xylose & Carvedilol**
  * *Rationale*: Combines dietary benefits with antioxidant effects.
8. **Carvedilol & Pramiracetam**
  * *Rationale*: Combines antioxidant effects with cognitive enhancement.
9. **Pramiracetam & Metolazone**
  * *Rationale*: Combines cognitive effects with diuretic benefits.
10. **Metolazone & Berberine**
  * *Rationale*: Combines diuretic effects with metabolic regulation.
11. **Berberine & Punicalagin**
  * *Rationale*: Combines metabolic regulation with antioxidant effects.
12. **Punicalagin & Oxethazaine**
  * *Rationale*: Combines antioxidant effects with anti-inflammatory properties.
13. **Oxethazaine & Benidipine HCl**
  * *Rationale*: Combines anti-inflammatory effects with cardiovascular benefits.
14. **Benidipine HCl & Spermidine trihydrochloride**
  * *Rationale*: Combines cardiovascular effects with anti-aging properties.
15. **Spermidine trihydrochloride & Enoxacin**
  * *Rationale*: Combines anti-aging effects with antibiotic benefits.
16. **Enoxacin & Glycine**
  * *Rationale*: Combines antibiotic effects with amino acid support.
17. **Glycine & Hydralazine HCl**
  * *Rationale*: Combines amino acid support with blood pressure regulation.
18. **Hydralazine HCl & Florfenicol**
  * *Rationale*: Combines blood pressure regulation with antibiotic effects.
19. **Florfenicol & Linoleic Acid**
  * *Rationale*: Combines antibiotic effects with fatty acid benefits.
20. **Linoleic Acid & Vanillin**
  * *Rationale*: Combines fatty acid benefits with antioxidant effects.
21. **Vanillin & Astaxanthin**
  * *Rationale*: Combines antioxidant effects with carotenoid benefits.
22. **Astaxanthin & Berberine hydrochloride**
  * *Rationale*: Combines carotenoid benefits with metabolic regulation.
23. **Berberine hydrochloride & Oleic Acid**
  * *Rationale*: Combines metabolic regulation with fatty acid support.
24. **Oleic Acid & Daptomycin**
  * *Rationale*: Combines fatty acid benefits with antibiotic effects.
25. **Daptomycin & Taurine**
  * *Rationale*: Combines antibiotic effects with amino acid support.

It’s not clear it is doing anything besides picking combos of winners… Before refinement with the winners it seemed like it was picking mostly buzzy supplements:

1. **Metformin & Resveratrol**
  * **Reason:** Metformin improves glucose metabolism, while resveratrol activates sirtuins, combining metabolic regulation and anti-aging effects.
2. **Rapamycin & Melatonin**
  * **Reason:** Rapamycin inhibits TOR, extending lifespan, while melatonin acts as an antioxidant, synergizing in stress resistance.
3. **Curcumin & Quercetin**
  * **Reason:** Both are anti-inflammatory and antioxidants, targeting inflammation and oxidative stress for longevity.
4. **Acarbose & Aspirin**
  * **Reason:** Acarbose controls glucose, and aspirin reduces inflammation, addressing metabolic and inflammatory aging pathways.
5. **NAC & Coenzyme Q10**
  * **Reason:** NAC boosts antioxidants, while CoQ10 supports mitochondria, enhancing cellular protection and energy.
6. **Cilostazol & Atorvastatin**
  * **Reason:** Cilostazol activates AMPK, and atorvastatin regulates lipids, combining energy metabolism and lipid health.
7. **Rosiglitazone & Metformin**
  * **Reason:** Both target insulin sensitivity, enhancing metabolic efficiency and longevity.
8. **Resveratrol & Rapamycin**
  * **Reason:** Resveratrol activates sirtuins, and rapamycin inhibits TOR, synergizing anti-aging pathways.
9. **Melatonin & Curcumin**
  * **Reason:** Melatonin's antioxidant properties complement curcumin's anti-inflammatory effects, reducing oxidative stress.
10. **Quercetin & Acarbose**
  * **Reason:** Quercetin reduces inflammation, and acarbose controls glucose, addressing dual aging factors.
11. **Aspirin & NAC**
  * **Reason:** Aspirin targets inflammation, while NAC enhances antioxidant defenses, supporting overall stress resistance.
12. **Coenzyme Q10 & Cilostazol**
  * **Reason:** CoQ10 supports mitochondria, and cilostazol activates AMPK, combining energy metabolism and mitochondrial health.
13. **Metformin & Melatonin**
  * **Reason:** Metformin improves metabolism, and melatonin acts as an antioxidant, enhancing metabolic and oxidative stress responses.
14. **Resveratrol & Curcumin**
  * **Reason:** Both activate anti-inflammatory and antioxidant pathways, synergizing in lifespan extension.
15. **Rapamycin & Quercetin**
  * **Reason:** Rapamycin inhibits TOR, and quercetin reduces inflammation, combining metabolic regulation and anti-inflammatory effects.
16. **Acarbose & Coenzyme Q10**
  * **Reason:** Acarbose controls glucose, and CoQ10 supports mitochondria, addressing metabolic and mitochondrial aging.
17. **Aspirin & Cilostazol**
  * **Reason:** Aspirin reduces inflammation, and cilostazol activates AMPK, combining anti-inflammatory and metabolic benefits.
18. **NAC & Rosiglitazone**
  * **Reason:** NAC enhances antioxidants, and rosiglitazone improves insulin sensitivity, targeting oxidative stress and metabolism.
19. **Melatonin & Metformin**
  * **Reason:** Melatonin's antioxidant effects complement metformin's metabolic improvements, enhancing overall healthspan.
20. **Curcumin & Atorvastatin**
  * **Reason:** Curcumin reduces inflammation, and atorvastatin regulates lipids, addressing cardiovascular and inflammatory aging.
21. **Quercetin & Resveratrol**
  * **Reason:** Both target oxidative stress and inflammation, synergizing in anti-aging effects.
22. **Acarbose & Rapamycin**
  * **Reason:** Acarbose controls glucose, and rapamycin inhibits TOR, combining metabolic regulation and longevity pathways.
23. **Aspirin & Melatonin**
  * **Reason:** Aspirin reduces inflammation, and melatonin acts as an antioxidant, supporting dual aging mechanisms.
24. **Coenzyme Q10 & Rosiglitazone**
  * **Reason:** CoQ10 supports mitochondria, and rosiglitazone improves insulin sensitivity, enhancing metabolic and mitochondrial health.
25. **Cilostazol & Quercetin**
  * **Reason:** Cilostazol activates AMPK, and quercetin reduces inflammation, combining energy metabolism and anti-inflammatory effects.
1 Like

I used Gemini 2 to combine the single and double results so far and get its thoughts on top 25 (using only results, and many of these probably already sponsored):

<think>The user wants me to suggest 25 combinations of treatments from the provided list to test for lifespan extension in c. elegans. The list is sorted by the percentage change in median lifespan. The user is asking for *combinations*, not just single treatments. This means I need to combine treatments from the list.

To choose the top 25 combinations for testing, I should prioritize combinations that are likely to have a synergistic effect on lifespan extension. I should consider combinations that include the treatments with the highest individual lifespan extensions.

Here is a plan:

1. **Identify top performing individual treatments:** List the top single treatments with the highest positive percentage change in median lifespan.
2. **Consider synergistic combinations:** Think about which treatments might work together synergistically. For example, combining treatments with different mechanisms of action might be beneficial. The list already includes some combinations (e.g., GSK2126458 10µM / Allantoin 50µM). I should analyze these existing combinations for clues.
3. **Prioritize novel combinations:** Beyond the existing combinations, explore new combinations, especially those that pair high-performing individual treatments.
4. **Consider practical limitations:** Are there any obvious contraindications or reasons why certain combinations might be impractical or less likely to be synergistic? For example, combining very similar drugs might not be as effective as combining drugs with different mechanisms.
5. **Generate a list of 25 combinations:** Based on the above considerations, create a list of 25 combinations. The list should be diverse and include combinations that are likely to be promising for lifespan extension.

Let's start by listing the top individual treatments. From the list, the top individual treatments are:

* Doxycycline HCl (55.7%)
* Sulforaphane (42.9%)
* Azathioprine (41.4%)
* Nilvadipine (38.8%)
* GSK2126458 (34.7%)
* D-Mannitol (25.9%)
* Xylose (25.9%)
* Carvedilol (24.6%)
* Pramiracetam (19.6%)
* Metolazone (19.6%)
* Berberine (16.9%)
* Punicalagin (16.9%)

Now let's consider the existing combinations from the list. The top performing combination is:

* GSK2126458 10µM / Allantoin 50µM (55.2%) - Allantoin alone had 0% effect. GSK2126458 alone had 34.7% and 10uM alone had 34.9%. So Allantoin seems to boost GSK2126458.
* Rapamycin 15µM / Berberine-Hcl 50µM (41.4%) - Rapamycin alone had 0%, Berberine alone had 16.9% and Berberine hydrochloride 11%. Berberine seems to boost Rapamycin.
* GSK2126458 10µM / Nilvadipine 10µM (34.9%) - GSK2126458 10µM (34.9%), Nilvadipine (38.8%). This combination is not synergistic, maybe even slightly antagonistic.
* GSK2126458 10µM / Rifampin 10µM (23.4%) - GSK2126458 10µM (34.9%), Rifampin is not on the list, so we don't know its individual effect.
* Berberine 50µM / Sildenafil 50µM (11.9%) - Berberine (16.9%), Sildenafil is not on the list, so we don't know its individual effect.
* Nicotinamide 50µM / L-Glutathione 50µM (11.9%) - Nicotinamide and L-Glutathione are not individually on the list.
* Berberine 50µM / L-Glutathione 50µM (7%) - Same combination as above, but different result. Inconsistency?
* Rapamycin 15µM / Taurine 50µM (5.6%) - Rapamycin (0%), Taurine (7.4%). Taurine seems to slightly boost Rapamycin, but not much.
* Rapamycin 15µM / Astaxanthin 1µM (-6.2%) - Rapamycin (0%), Astaxanthin (11.2%). Astaxanthin seems to negate Rapamycin.
* Rapamycin 15µM / Taurine 50µM (-6.9%) - Same combination as above, but different result and negative effect. Inconsistency?
* Rapamycin 15µM / Bezafibrate 50µM (-15%) - Rapamycin (0%), Bezafibrate is not on the list. Bezafibrate seems to negate Rapamycin.
* Ibuprofin 50µM / Baicalein 10µM (-15.5%) - Ibuprofin is not on the list, Baicalin (2.8%). Baicalin effect is negated by Ibuprofin.
* Doxycycline HCl 50µM / Azithromycin 50µM (-25.5%) - Doxycycline HCl (55.7%), Azithromycin is not on the list. Azithromycin negates Doxycycline.
* LY2940680 50µM / Everolimus 10µM (-25.5%) - LY2940680 and Everolimus are not individually on the list.
* Rapamycin 15µM / Fenbendazole 10µM (-50%) - Rapamycin (0%), Fenbendazole (-30%). Fenbendazole strongly negates Rapamycin.

Observations from existing combinations:

* Combinations with GSK2126458 and Rapamycin are frequently tested.
* Allantoin and Berberine seem to have synergistic effects with GSK2126458 and Rapamycin, respectively.
* Some combinations are antagonistic or negate the positive effects of individual treatments.
* Rapamycin alone has no effect in this dataset, but in combination can be boosted or negated.

Now, let's generate 25 combinations to test. I will focus on combinations of top individual treatments and combinations that might show synergy based on the existing combinations. I will also include some novel combinations that haven't been tested yet in this list.

Prioritization for combinations:

1. Combine top individual performers with different mechanisms (if known).
2. Combine top performers with agents that showed synergy in existing combos (Allantoin, Berberine).
3. Explore combinations of moderately performing agents that might be synergistic.
4. Include some triple combinations.
5. Include some combinations with Rapamycin, given its importance in aging research, even though it shows no effect alone in this dataset, but can be boosted.

Here are 25 combinations to test:

1. Doxycycline HCl / Sulforaphane
2. Doxycycline HCl / Azathioprine
3. Doxycycline HCl / Nilvadipine
4. Doxycycline HCl / GSK2126458
5. Doxycycline HCl / Berberine
6. GSK2126458 / Sulforaphane
7. GSK2126458 / Azathioprine
8. GSK2126458 / Nilvadipine (already tested, but maybe at different concentrations)
9. GSK2126458 / Berberine
10. Sulforaphane / Azathioprine
11. Sulforaphane / Nilvadipine
12. Sulforaphane / Berberine
13. Azathioprine / Nilvadipine
14. Azathioprine / Berberine
15. Nilvadipine / Berberine
16. Doxycycline HCl / Allantoin
17. Sulforaphane / Allantoin
18. Azathioprine / Allantoin
19. Nilvadipine / Allantoin
20. GSK2126458 / Doxycycline HCl / Allantoin (Triple)
21. GSK2126458 / Sulforaphane / Allantoin (Triple)
22. Doxycycline HCl / Rapamycin / Berberine (Triple, to see if Doxycycline can rescue Rapamycin)
23. Sulforaphane / Rapamycin / Berberine (Triple, to see if Sulforaphane can rescue Rapamycin)
24. Doxycycline HCl / Pramiracetam
25. Sulforaphane / Pramiracetam

I will now format these into a list for the user. </think>

You’re using 2.0 Flash Thinking Experimental with reasoning across Google apps. Works best with YouTube, Maps, and Search. Some Gemini features aren’t available.

Here are 25 combinations of treatments you could test next for lifespan extension in C. elegans, based on the provided results. These combinations aim to explore potential synergistic effects, particularly by combining top-performing individual treatments and considering some of the combinations already tested in your list.

1. **Doxycycline HCl / Sulforaphane:** Combining the top two individual performers to see if their effects are additive or synergistic.
2. **Doxycycline HCl / Azathioprine:** Combining Doxycycline with another high-ranking individual treatment.
3. **Doxycycline HCl / Nilvadipine:** Exploring the combination of Doxycycline with another top performer.
4. **Doxycycline HCl / GSK2126458:** Combining Doxycycline with another potent lifespan extender.
5. **Doxycycline HCl / Berberine:** Combining Doxycycline with Berberine, which has shown synergy with Rapamycin in your list.
6. **GSK2126458 / Sulforaphane:** Combining two non-overlapping top performers.
7. **GSK2126458 / Azathioprine:** Another combination of high-ranking individual treatments.
8. **GSK2126458 / Berberine:** Exploring if Berberine can also enhance GSK2126458's effect, similar to Allantoin.
9. **Sulforaphane / Azathioprine:** Combining two treatments with different mechanisms of action.
10. **Sulforaphane / Nilvadipine:** Another combination of top individual treatments.
11. **Sulforaphane / Berberine:** Combining Sulforaphane with Berberine for potential synergy.
12. **Azathioprine / Nilvadipine:** Combining two other high-performing individual treatments.
13. **Azathioprine / Berberine:** Exploring the combination of Azathioprine with Berberine.
14. **Nilvadipine / Berberine:** Combining Nilvadipine with Berberine.
15. **Doxycycline HCl / Allantoin:** Testing if Allantoin can enhance Doxycycline's effect, similar to its effect with GSK2126458 in your list.
16. **Sulforaphane / Allantoin:** Exploring if Allantoin can synergize with other top performers besides GSK2126458.
17. **Azathioprine / Allantoin:** Testing Allantoin's potential to boost Azathioprine.
18. **Nilvadipine / Allantoin:** Exploring if Allantoin can enhance Nilvadipine's lifespan extension.
19. **GSK2126458 / Doxycycline HCl / Allantoin (Triple):** A triple combination including the top individual performer, another potent compound, and a synergistic agent (Allantoin).
20. **GSK2126458 / Sulforaphane / Allantoin (Triple):** Another triple combination, replacing Doxycycline with Sulforaphane.
21. **Doxycycline HCl / Rapamycin / Berberine (Triple):** Exploring if Doxycycline can rescue Rapamycin's effect when combined with Berberine, which showed synergy with Rapamycin in your list.
22. **Sulforaphane / Rapamycin / Berberine (Triple):** Similar to the previous combination, but using Sulforaphane instead of Doxycycline.
23. **Doxycycline HCl / Pramiracetam:** Combining the top individual performer with Pramiracetam, a moderately effective treatment.
24. **Sulforaphane / Pramiracetam:** Combining Sulforaphane with Pramiracetam.
25. **GSK2126458 / Pramiracetam:** Combining GSK2126458 with Pramiracetam.

These combinations are designed to build upon the existing data, explore potential synergies, and identify novel multi-treatment strategies for lifespan extension in *C. elegans*. Remember to carefully consider the concentrations and experimental design for each combination to effectively assess their impact.

Given this forum I am interested in 19-22

Trying different focusing on mechanisms and similar untested with same mechanism:

The user is asking for an explanation of the mechanisms of chemicals that score over 15% in increasing lifespan based on the provided table.  They also want suggestions for similar untested chemicals with the same mechanisms, and a guess at their potential scores.

First, I need to identify the chemicals scoring over 15% from the table.
Then, for each chemical, I need to research its mechanism of action, specifically focusing on how it might relate to lifespan extension.
After understanding the mechanisms, I should look for similar untested chemicals that might act through the same mechanisms.
Finally, I need to estimate the potential lifespan extension score for these suggested chemicals, based on the scores of the original chemicals and the similarity in mechanisms.

Chemicals scoring over 15%:

Doxycycline HCl (55.7%)
GSK2126458 10µM / Allantoin 50µM (55.2%)
Sulforaphane (42.9%)
Azathioprine (41.4%)
Rapamycin 15µM / Berberine-Hcl 50µM (41.4%)
Nilvadipine (38.8%)
GSK2126458 (34.7%)
GSK2126458 10µM / Nilvadipine 10µM (34.9%)
D-Mannitol (25.9%)
Xylose (25.9%)
Carvedilol (24.6%)
GSK2126458 10µM / Rifampin 10µM (23.4%)
Pramiracetam (19.6%)
Metolazone (19.6%)
Berberine (16.9%)
Punicalagin (16.9%)
I will use Google Search to find the mechanisms of action for each of these chemicals and how they relate to lifespan extension. I will start with Doxycycline HCl.

After researching each chemical and its mechanism, I will group them by mechanism and then suggest similar untested chemicals.

Let's start by searching for "Doxycycline HCl mechanism of action lifespan extension".

You’re using 2.0 Flash Thinking Experimental with reasoning across Google apps. Works best with YouTube, Maps, and Search. Some Gemini features aren’t available.
Chemicals scoring over 15% in your provided list and their potential mechanisms for lifespan extension are explained below.  Based on these mechanisms, I've also suggested similar, untested chemicals and estimated their potential scores.

It's important to note that lifespan extension mechanisms are complex and often not fully understood. These explanations are based on current scientific knowledge and may evolve as research progresses.  Also, the scores are estimations and actual results may vary.

Here are the chemicals scoring above 15% and their potential mechanisms:

Doxycycline HCl (55.7%)

Mechanism: Doxycycline is a tetracycline antibiotic known for its broad-spectrum antibacterial activity. Its potential lifespan-extending effects are likely not primarily due to its antibiotic properties. Instead, it may be related to its anti-inflammatory and anti-senescent effects. Doxycycline can inhibit matrix metalloproteinases (MMPs), enzymes involved in tissue remodeling and inflammation, which are implicated in aging processes. It might also modulate mitochondrial function and reduce oxidative stress.
Similar Untested Chemicals:
Minocycline: Another tetracycline antibiotic with similar anti-inflammatory and MMP-inhibiting properties to doxycycline.
Tigecycline: A glycylcycline antibiotic, structurally related to tetracyclines, also known for its broad-spectrum activity and potential anti-inflammatory effects.
Predicted Score: Minocycline and Tigecycline might score similarly to Doxycycline, possibly in the 40-60% range, given their related mechanisms.
GSK2126458 (and combinations) (55.2%, 34.7%, 34.9%, 23.4%)

Mechanism: GSK2126458 is a potent inhibitor of PI3K and mTOR, key signaling pathways involved in cell growth, metabolism, and aging. Inhibition of these pathways is known to extend lifespan in various model organisms. By reducing cellular growth and metabolic rate, GSK2126458 could mimic some effects of caloric restriction, a well-established lifespan-extending intervention. The combinations with Allantoin, Nilvadipine, and Rifampin might enhance its effects through synergistic mechanisms or by mitigating potential side effects.
Similar Untested Chemicals:
Everolimus: An mTOR inhibitor, similar to rapamycin, but with potentially different pharmacokinetic properties.
Wortmannin: Another PI3K inhibitor, though less specific and potentially more toxic than GSK2126458, it targets the same pathway.
Predicted Score: Everolimus, being a known mTOR inhibitor with some lifespan-extending effects already documented, could score in the 30-50% range. Wortmannin, due to potential toxicity, might be less effective or have a narrower effective dose range, possibly scoring in the 20-40% range.
Sulforaphane (42.9%)

Mechanism: Sulforaphane, found in cruciferous vegetables like broccoli, is a potent Nrf2 activator. Nrf2 is a master regulator of antioxidant and detoxification pathways. Activation of Nrf2 boosts the body's defenses against oxidative stress and inflammation, both major contributors to aging. Sulforaphane also has anti-inflammatory and potential anti-cancer properties.
Similar Untested Chemicals:
CDDO-Me (Bardoxolone methyl): A synthetic triterpenoid that is a potent Nrf2 activator, investigated for its anti-inflammatory and antioxidant properties.
Dimethyl fumarate (DMF): While already on your list with a negative score, formulations or delivery methods might influence its efficacy. DMF is also an Nrf2 activator, used to treat multiple sclerosis.
Predicted Score: CDDO-Me, as a potent Nrf2 activator, could potentially score in the 35-55% range, similar to or slightly higher than Sulforaphane. DMF, if optimized, might show a positive score, perhaps in the 10-30% range, but its current negative score suggests challenges.
Azathioprine (41.4%)

Mechanism: Azathioprine is an immunosuppressant drug. Its lifespan extension mechanism is less clear and potentially counterintuitive, as immunosuppression can increase infection risk. However, in certain contexts, it might modulate the immune system in a way that reduces chronic inflammation or autoimmunity, which can contribute to aging. It's also possible that in the specific model system used, a controlled level of immunosuppression had beneficial effects on lifespan.
Similar Untested Chemicals:
Mycophenolate mofetil: Another immunosuppressant drug with a different mechanism of action (inhibiting inosine monophosphate dehydrogenase) but similar overall immunosuppressive effects.
Sirolimus (Rapamycin): While Rapamycin is on your list with 0% score (likely at a different concentration or formulation), it is an immunosuppressant and known lifespan extender in other contexts. Lower doses of Sirolimus, or specific delivery methods, might be worth considering, focusing on immunomodulation rather than complete immunosuppression.
Predicted Score: Mycophenolate mofetil might score in the 25-45% range, given its immunosuppressive nature. Re-evaluating Rapamycin (Sirolimus) at different doses or formulations could potentially yield a positive score in the 20-40% range if the mechanism is related to immunomodulation.
Rapamycin 15µM / Berberine-HCl 50µM (41.4%)

Mechanism: This is a combination of Rapamycin (mTOR inhibitor) and Berberine (AMPK activator and other effects). The combination likely works synergistically. Rapamycin inhibits mTOR, while Berberine activates AMPK, creating a metabolic shift towards cellular maintenance and repair, and away from growth and proliferation. Berberine also has anti-inflammatory and antioxidant properties.
Similar Untested Chemicals:
Metformin + Rapamycin: Metformin is a well-known AMPK activator. Combining it with Rapamycin could create a similar synergistic effect to Berberine + Rapamycin.
AICAR + Rapamycin: AICAR is another direct AMPK activator. Its combination with Rapamycin might also be synergistic.
Predicted Score: Metformin + Rapamycin and AICAR + Rapamycin combinations could potentially score in the 35-55% range, similar to or slightly less than the Berberine + Rapamycin combination, depending on the specific synergistic effects.
Nilvadipine (38.8%) & GSK2126458 10µM / Nilvadipine 10µM (34.9%)

Mechanism: Nilvadipine is a calcium channel blocker, primarily used to treat hypertension. Its lifespan-extending mechanism is less clear but might involve improving cardiovascular health, reducing oxidative stress, and potentially modulating autophagy (cellular cleaning process). Calcium channel blockers can have neuroprotective effects and influence cellular signaling pathways. The combination with GSK2126458 might be additive or synergistic, targeting multiple aging-related pathways.
Similar Untested Chemicals:
Amlodipine: Another common calcium channel blocker, similar to Nilvadipine in its primary action. (Note: Amlodipine is on your list with a negative score, suggesting context or dosage might be crucial).
Lercanidipine: A dihydropyridine calcium channel blocker with high vascular selectivity and long duration of action.
Predicted Score: Lercanidipine might score in the 25-45% range, potentially similar to Nilvadipine. Amlodipine's negative score in your list suggests that the context of the experiment is very important for calcium channel blockers, and further investigation would be needed.
D-Mannitol & Xylose (25.9%)

Mechanism: D-Mannitol and Xylose are sugars, but they are poorly metabolized. Their lifespan extension mechanism is less clear and might be related to osmotic effects, mild metabolic stress, or modulation of gut microbiota. It's also possible these are acting through a less-understood pathway related to nutrient sensing or cellular stress response.
Similar Untested Chemicals:
Lactitol: A poorly absorbed disaccharide sugar alcohol, similar to mannitol in its osmotic properties.
Sorbitol: Another sugar alcohol that is poorly metabolized.
Predicted Score: Lactitol and Sorbitol might score in the 15-35% range, potentially similar to D-Mannitol and Xylose, but the mechanism is less well-defined, making prediction more uncertain.
Carvedilol (24.6%)

Mechanism: Carvedilol is a beta-blocker and alpha-1 adrenergic receptor blocker, primarily used to treat hypertension and heart failure. Its lifespan-extending mechanism likely involves cardiovascular protection, reducing stress on the heart and blood vessels. Beta-blockers can also have anti-inflammatory and antioxidant effects in certain contexts.
Similar Untested Chemicals:
Metoprolol: Another common beta-blocker, already on your list with a 0% score. Similar to Amlodipine, this suggests context is crucial.
Bisoprolol: A highly selective beta-1 adrenergic receptor blocker, often used for hypertension and heart conditions.
Predicted Score: Bisoprolol might score in the 15-35% range, potentially similar to Carvedilol. Metoprolol's zero score again highlights the importance of experimental context.
Pramiracetam & Metolazone (19.6%)

Mechanism: Pramiracetam is a nootropic drug, believed to enhance cognitive function. Its lifespan mechanism is very unclear. It might indirectly influence lifespan by improving overall health and resilience, or it could have some direct cellular effects that are currently unknown. Metolazone is a thiazide-like diuretic. Its lifespan mechanism is also unclear, potentially related to blood pressure regulation or electrolyte balance, but this is speculative. It is possible these are false positives or have mechanisms specific to the experimental model that are not broadly applicable to lifespan extension.
Similar Untested Chemicals:
Piracetam: Another nootropic drug in the racetam family, similar to Pramiracetam.
Chlorthalidone: Another thiazide-like diuretic, similar to Metolazone.
Predicted Score: Given the unclear mechanisms and the possibility of model-specific effects, Piracetam and Chlorthalidone are harder to predict. They might score in the 5-20% range, but there is high uncertainty.
Berberine & Punicalagin (16.9%)

Mechanism: Berberine is a natural alkaloid with multiple biological activities, including AMPK activation, anti-inflammatory, antioxidant, and anti-diabetic effects. Punicalagin, found in pomegranates, is a polyphenol with strong antioxidant and anti-inflammatory properties. Both likely extend lifespan through reducing oxidative stress, inflammation, and improving metabolic health.
Similar Untested Chemicals:
Resveratrol: Already on your list with a lower score (5.6%), but it is a well-known polyphenol with antioxidant and SIRT1-activating properties, similar to Punicalagin. Higher doses or optimized formulations of Resveratrol might be worth exploring.
Fisetin: Another flavonoid with senolytic (selectively killing senescent cells), antioxidant, and anti-inflammatory properties, similar to Punicalagin.
Predicted Score: Fisetin might score in the 15-35% range, potentially similar to or slightly higher than Punicalagin, given its senolytic properties. Re-evaluating Resveratrol with optimization might increase its score to the 10-25% range.
Important Considerations:

Model System: The lifespan extension effects are likely specific to the experimental model used. The results might not directly translate to other organisms or humans.
Dosage and Formulation: The concentrations and formulations used are crucial. Different dosages or delivery methods could significantly alter the results.
Combination Effects: The synergistic effects seen in some combinations highlight the potential of multi-drug approaches to lifespan extension.
Mechanism Complexity: Aging is a complex process, and lifespan extension is likely influenced by multiple interacting mechanisms. The explanations provided are simplified and focus on potential key pathways.
This analysis provides a starting point for further investigation.  Testing the suggested chemicals and combinations, and further elucidating the underlying mechanisms, would be valuable for advancing our understanding of lifespan modulation.

Narrowing down into 10 combos to test:

Rapamycin (or Everolimus) + Sulforaphane

Complementary Mechanisms: Rapamycin (or Everolimus) inhibits mTOR, reducing cellular growth and promoting autophagy. Sulforaphane activates Nrf2, boosting antioxidant defenses and detoxification. These mechanisms are complementary because mTOR inhibition and Nrf2 activation are known to synergistically promote cellular health and stress resistance.
Relation to Existing Positive Results: The Rapamycin/Berberine combination already showed a strong positive result (41.4%), suggesting mTOR inhibition is beneficial. Sulforaphane also scored highly (42.9%) on its own, indicating Nrf2 activation is effective. Combining these could lead to an even greater effect.
Predicted Score: 50-70% - Synergistic effect expected due to targeting distinct but complementary aging pathways.
GSK2126458 + Sulforaphane

Complementary Mechanisms: GSK2126458 inhibits both PI3K and mTOR, broadly impacting cell growth and metabolism. Sulforaphane activates Nrf2, enhancing antioxidant and detoxification pathways. Similar to the Rapamycin/Sulforaphane combo, this combines metabolic regulation with antioxidant defense.
Relation to Existing Positive Results: GSK2126458 showed significant lifespan extension (up to 55.2% in combination). Sulforaphane was also effective. Combining them could amplify the benefits.
Predicted Score: 60-80% - Potential for high synergy due to the potent PI3K/mTOR inhibition by GSK2126458 and the strong Nrf2 activation by Sulforaphane.
Doxycycline + Sulforaphane

Complementary Mechanisms: Doxycycline's potential anti-inflammatory and anti-senescent effects could complement Sulforaphane's Nrf2-mediated antioxidant and detoxification actions. Doxycycline might address chronic inflammation, while Sulforaphane bolsters cellular defense mechanisms.
Relation to Existing Positive Results: Both Doxycycline (55.7%) and Sulforaphane (42.9%) were top performers individually. Their combination could address multiple aspects of aging.
Predicted Score: 55-75% - Additive or synergistic effects expected due to targeting inflammation, senescence, and oxidative stress.
Rapamycin (or Everolimus) + Doxycycline

Complementary Mechanisms: Rapamycin/Everolimus focuses on metabolic regulation and autophagy, while Doxycycline may target inflammation and senescence. Combining metabolic reprogramming with anti-inflammatory/anti-senescent actions could be highly beneficial.
Relation to Existing Positive Results: Both Rapamycin/Berberine (41.4%) and Doxycycline (55.7%) showed strong positive results. This combination explores a different angle by pairing mTOR inhibition with Doxycycline's effects.
Predicted Score: 50-70% - Synergy possible by addressing different facets of aging: metabolic dysregulation and cellular senescence/inflammation.
GSK2126458 + Doxycycline

Complementary Mechanisms: Similar to the Rapamycin + Doxycycline combination, GSK2126458 (PI3K/mTOR inhibitor) combined with Doxycycline (anti-inflammatory/anti-senescent) could provide broad protection against aging processes by targeting both metabolic and inflammatory aspects.
Relation to Existing Positive Results: GSK2126458 combinations were highly effective, as was Doxycycline. This combination directly merges two of the most potent single agents.
Predicted Score: 65-85% - High potential for synergy, combining potent metabolic pathway inhibition with anti-inflammatory and anti-senescent effects.
Berberine + Sulforaphane

Complementary Mechanisms: Berberine activates AMPK and has antioxidant and anti-inflammatory properties. Sulforaphane activates Nrf2 and boosts antioxidant and detoxification pathways. This combination enhances antioxidant defense through two different mechanisms (Nrf2 and Berberine's direct antioxidant effects) and also combines AMPK activation with Nrf2 activation, which can be synergistic in promoting cellular health.
Relation to Existing Positive Results: Both Berberine (16.9%) and Sulforaphane (42.9%) showed positive results individually. The Rapamycin/Berberine combination was also effective.
Predicted Score: 45-65% - Synergistic potential by combining AMPK and Nrf2 activation, along with enhanced antioxidant capacity.
Nilvadipine + Sulforaphane

Complementary Mechanisms: Nilvadipine (calcium channel blocker) might improve cardiovascular health and have neuroprotective effects. Sulforaphane provides strong antioxidant and anti-inflammatory actions via Nrf2. This combination could protect both the cardiovascular and nervous systems while reducing oxidative stress.
Relation to Existing Positive Results: Nilvadipine (38.8%) and Sulforaphane (42.9%) both showed good results individually. The GSK2126458/Nilvadipine combination was also positive.
Predicted Score: 40-60% - Potential for additive or synergistic effects by combining cardiovascular/neuroprotection with antioxidant and anti-inflammatory actions.
Carvedilol + Sulforaphane

Complementary Mechanisms: Carvedilol (beta-blocker) provides cardiovascular protection, reducing stress on the heart and blood vessels. Sulforaphane offers broad antioxidant and anti-inflammatory benefits. This combination focuses on protecting the cardiovascular system while mitigating oxidative stress and inflammation, two major drivers of aging.
Relation to Existing Positive Results: Carvedilol (24.6%) and Sulforaphane (42.9%) showed positive results individually.
Predicted Score: 35-55% - Additive or synergistic effects possible by combining cardiovascular protection with antioxidant and anti-inflammatory actions.
D-Mannitol + Sulforaphane

Complementary Mechanisms: D-Mannitol (and Xylose) may act through osmotic effects or mild metabolic stress. Sulforaphane provides robust antioxidant and detoxification benefits. Combining a mild stressor with a strong protector against oxidative damage could be beneficial.
Relation to Existing Positive Results: D-Mannitol/Xylose (25.9%) and Sulforaphane (42.9%) were both effective individually.
Predicted Score: 30-50% - Potential for synergy by combining mild metabolic stress with strong antioxidant protection.
Azathioprine + Sulforaphane

Complementary Mechanisms: Azathioprine (immunosuppressant) might modulate the immune system to reduce chronic inflammation. Sulforaphane provides broad anti-inflammatory and antioxidant effects via Nrf2. This combination could synergistically reduce inflammation through different pathways – immune modulation and Nrf2 activation.
Relation to Existing Positive Results: Both Azathioprine (41.4%) and Sulforaphane (42.9%) were individually effective.
Predicted Score: 45-65% - Potential for synergy by combining immune modulation with Nrf2-mediated anti-inflammatory actions to combat chronic inflammation of aging.
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I wanted to hear what Attia had to say as he hasn’t really addressed this before.

That’s not R1, it’s a finetune of other models with chain of thought. R1 is like 671B parameters and requires 400 GB unified memory, or at the most quantified version around 100 GB. Regardless I think you want search enabled.
For models you can login to perplexity.ai and select R1, it will use internet search as well, which you can use for free. Perplexity also has a deep research mode. You can also use ChatGPT and click reason + search to use o3-mini for free.

To create prompts you can use claude.ai, or another model, I think you can tell Claude what model and mode you’re intending to use.

I think you need to tell the model how to figure out which combinations to use, like how you’d do it yourself if you had access to the internet and all the world’s knowledge. I wonder if you can ask it to look into the mechanism of action of every compound like you have now, and instead see which ones might be synergistic which each other based on the mechanism, for example. It’ll do a search for every compound first and then compile it all together.

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Could you please clarify whether you’re referring to 1) a chemical inhibitor of Smac, 2) a regulatory protein involved in oxidative stress that modulates Smac, 3) inhibitors that affect Smac function in apoptosis (e.g. IAP agonists - Iinhibitor of Apoptosis Proteins), 4) Smac mimetics, or something else?

Thank you :blush::teddy_bear:

HI Walter: It’s a small peptide that binds sestrin 2, There is a page dedicated to DOS, on my website that can be found here: Rejuvenation of Senescent T Cells by Cyclic-Pentapeptie — AGE-REGRESSION.COM. Michael

Hi John: There are five published studies on sMACs and DOS on this webpage: Rejuvenation of Senescent T Cells by Cyclic-Pentapeptie — AGE-REGRESSION.COM There are several papers currentely under review and human clinical trials will begin in a few months. Michael

Since watching the video below by Karpathy thus learning more about LLM’s I’m pretty sure that superlongevity drugs (in worms), won’t be coming in 2027-2028 as in the title of this thread!

The reason is simply because, I’ll use terms from the video, data in biology isn’t verifiable as in coding or math, you can’t give a problem, and know the solution, and use that to do reinforcement learning. Meaning, generating a bunch of solutions for a given problem, and train the LLM to pick the correct solution over time. Thus generalizing solutions to other problems.

Coding and such things can be solved and probably will, as well as entertainment like generating videos, movies, real time video games, along with that everything else in that domain like holographic AI assistants in XR. Most digital tasks. The AI’s will be as smart as humans or smarter, but they’ll still be limited as humans, so you can have a bunch of AI’s working on biology but it won’t be ‘instant’ knowledge.

Simulating things seems difficult as well, feeding the entire physiology to do drug discovery (placing all of these things on one line), requires way more computation. Right now LLM’s can’t process letters as it would be too computational expensive for things the AI’s are doing today (instead chunked in a tokenizer).

So would need way more compute and energy or some breakthroughs.

So in a few years things will look radically different in many ways, but biology is going to be going a bit slower than the other things.

What is coming seems to be the drugs in phase 3 trial right now that also work for aging: (Lists of) Aging Clinical Trials

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I looked at the web page and it atruck me as hard to find this information so i gave up.

If Ora Biomedical scales to 300k+ tests per year (that’s their goal) then for sure we’ll have superlongevity drugs in worms in 2027–2028. Just by trial and error (with the help of AI to select some compounds). If not, then yes it’ll take way more time for the reasons you gave.

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That throughout will be needed but i dont think ai will help since it doesnt have a good db like this one to learn from. I dont expect it to beat a greedy algo like try all of them and then take a few winners and try all of them again with that and repeat. I expect the worm feed to become saturated by 3 or 4 compounds.
They already run into saturation issues even with just 1 chemical now and cant replicate other labs higher doses?

https://x.com/arcinstitute/status/1892248139333091577

We might go a bit faster than expected!

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I am not persuaded.

Much that I think AI has a useful function

In the end it searches out the conventional wisdom.

I am not persuaded it is a good source of novelty.

Much that I am not unhappy at this response sent to me recently (via an LLM)

LLM Answer

2.0 Pro Experimental. Lacks access to real-time info and some Gemini features.

Yes, John Hemming’s emphasis on cytosolic acetyl-CoA as an indicator of cellular power and its connection to the aging phenotype makes a lot of sense, and it’s a crucial piece of the puzzle that connects mitochondrial function, PGC-1α, and overall cellular health. Here’s a breakdown of why it’s important and how it fits in:

1. Acetyl-CoA: A Central Metabolic Hub

  • Acetyl-CoA is a fundamental molecule in cellular metabolism. It’s not just a fuel source; it’s a critical signaling molecule and a building block for many important biomolecules.
  • Mitochondrial Production: The primary source of acetyl-CoA is within the mitochondria, where it’s produced from the breakdown of carbohydrates (via pyruvate from glycolysis) and fatty acids (via beta-oxidation). This is the entry point to the citric acid cycle (Krebs cycle), the central energy-producing pathway of the cell.
  • Cytosolic Roles: While much of the acetyl-CoA is used within the mitochondria for ATP production, a significant portion is also exported to the cytosol, where it plays essential roles:
    • Fatty Acid Synthesis: Acetyl-CoA is the precursor for fatty acid synthesis. This is crucial for building and maintaining cell membranes, storing energy, and producing signaling molecules.
    • Cholesterol Synthesis: Acetyl-CoA is also the starting material for cholesterol synthesis, which is vital for cell membranes, hormone production, and vitamin D synthesis.
    • Acetylation Reactions (This is the key to Hemming’s point): Acetyl-CoA is the acetyl donor in acetylation reactions. This means it provides the acetyl group (COCH3) that gets attached to other molecules. This is crucially important for:
      • Histone Acetylation: Acetyl groups are added to histones (the proteins that DNA is wrapped around). This loosens the chromatin structure, making genes more accessible for transcription. In general, increased histone acetylation is associated with increased gene expression. This is a major form of epigenetic regulation.
      • Protein Acetylation (Non-Histone): Acetyl-CoA can also acetylate many other proteins, not just histones. This can alter protein function, stability, localization, and interactions with other molecules. This is a widespread post-translational modification that regulates a vast array of cellular processes.

2. Cytosolic Acetyl-CoA as a Sensor of Cellular Energy Status

  • Mitochondrial Efficiency is Key: The amount of acetyl-CoA that can be exported to the cytosol is directly dependent on the efficiency of mitochondrial function. Healthy, efficient mitochondria produce more acetyl-CoA than they need for their own ATP production, allowing the excess to be exported.
  • Citrate as the Shuttle: Acetyl-CoA itself can’t directly cross the mitochondrial membrane. Instead, it’s converted to citrate within the mitochondria. Citrate can be transported out to the cytosol via the citrate carrier (SLC25A1, which Hemming mentioned). Once in the cytosol, citrate is converted back into acetyl-CoA by the enzyme ATP-citrate lyase (ACLY).
  • SASP and SLC25A1: Hemming’s point about SASP (Senescence-Associated Secretory Phenotype) reducing SLC25A1 expression is crucial. If SLC25A1 is downregulated, less citrate can be transported out of the mitochondria, leading to lower cytosolic acetyl-CoA levels, even if the mitochondria are still producing a reasonable amount of acetyl-CoA. This is a key link between cellular senescence and impaired cellular function.
  • The “Perceived Power Level”: Hemming’s phrase “perceived power level” is a good way to think about it. High cytosolic acetyl-CoA levels signal to the cell that energy production is abundant. This allows the cell to engage in “expensive” processes like gene expression (via histone acetylation) and protein synthesis. Low cytosolic acetyl-CoA levels signal energy scarcity, leading to a more “conservative” cellular state with reduced gene expression and protein synthesis.

3. PGC-1α’s Connection to Cytosolic Acetyl-CoA

  • Increased Mitochondrial Biogenesis and Function: PGC-1α, by promoting mitochondrial biogenesis and improving mitochondrial efficiency, increases the overall production of acetyl-CoA within the mitochondria. This, in turn, increases the potential for citrate export and raises cytosolic acetyl-CoA levels.
  • TFAM and mtDNA: By increasing TFAM, PGC-1α helps maintain healthy mtDNA, which is essential for the proper functioning of the electron transport chain and, consequently, for acetyl-CoA production.
  • Indirect Effects: PGC-1α’s anti-inflammatory effects can also indirectly contribute. By reducing inflammation, it may help to maintain SLC25A1 expression, allowing for efficient citrate transport.
  • Direct Upstream Interaction: PGC-1α is a transcriptional coactivator, and influences the expression levels of many proteins, including ATP-citrate lyase. This is the crucial enzyme mentioned above that converts cytosolic citrate back to acetyl-CoA.

4. Why Hemming’s Emphasis is Justified

  • Integrative View: Hemming’s focus on cytosolic acetyl-CoA provides an integrative view of how mitochondrial health, cellular senescence, gene expression, and overall cellular function are interconnected.
  • Beyond ATP: It moves the discussion beyond simply thinking about mitochondria as “powerhouses” that produce ATP. It highlights their role as signaling hubs that regulate cellular processes through molecules like acetyl-CoA.
  • Epigenetic Regulation: It emphasizes the crucial role of histone acetylation (and protein acetylation in general) in age-related changes in gene expression. Cytosolic acetyl-CoA is the direct link between mitochondrial function and epigenetic regulation.
  • Therapeutic Implications: Understanding this connection suggests that interventions that increase cytosolic acetyl-CoA levels (e.g., by boosting PGC-1α, improving mitochondrial function, or reducing SASP) could have profound beneficial effects on cellular health and longevity.

In conclusion, Hemming’s emphasis on cytosolic acetyl-CoA is not only justified but is a critical insight into the complex interplay between mitochondrial function and cellular aging. It provides a valuable framework for understanding how interventions like PGC-1α activation can have such widespread beneficial effects.

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And yet?

https://x.com/HellenicVibes/status/1892250276473516266

(I didn’t check the validity of those claims)

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Grok 3 on best lifespan extension compounds with think and search
https://x.com/i/grok/share/ADxtexayfvmr23tZoLLm1NOMG

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I use AI to search for things. Is then the novelty in the question or the answer? With any answers it is worth checking them depending on the importance of the information. When checking safe doaing levels i like to find the original reasearch papers.

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Deep search on all existing studies/compounds on c. elegans lifespan extension, including nice table with %:
https://x.com/i/grok/share/o1v8UcEj3wUk8kq79j0PLR4xb

The table contains 1% of the drugs. Here’s the full list: DrugAge: Species Detail

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@adssx thanks. Nice chart. Is the reason that the vast majority of drugs in the chart extend life because the tests were not random…they chose to test drugs that had shown life extension benefits?

It is wonderful that this work is being done. That said I would never take a drug because it extended life in a worm unless I wanted it for other benefits proven in people AND the drug had a good safety profile in people.

About 1300 tests extended lifespan vs about 300 that lowered lifespan. I would say it’s:

  • Publication bias (negative results are rarely published)
  • Focus on drugs with a rationale to extend lifespan
  • Positive drugs are retested may times are various concentrations
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This is a massive oversimplification. We are not going to get a major increase in longevity in humans by merely predicting some new drug targets and designing drugs that target them. It’s a lot more complicated than that. We can likely get great results in worms and less so in rodents with that method.

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