Maintaining VO2Max as We Age: Possible Strategies, Drugs and Supplements


VO2Max is one of the key drivers of health. But as people age, VO₂max declines because multiple systems degrade in parallel: cardiac output falls, vascular stiffness increases, hemoglobin drops, and skeletal muscle loses mitochondrial density and capillary support. The most promising pharmaceutical and supplement strategies target these specific failure modes.

The strongest mechanistic levers—those capable of substantially slowing VO₂max decline or even increasing VO₂max despite aging—are agents that target oxygen transport or mitochondrial phenotype. HIF-PH inhibitors and EPO directly increase hemoglobin and oxygen-carrying capacity and remain the most powerful VO₂max enhancers known, though these are not practical for general use. PPAR-δ agonists and pan-ERR agonists (e.g., SLU-PP-332) reprogram muscle toward a highly oxidative, endurance-oriented state with increased mitochondrial content and improved substrate utilization; in animal models these produce large endurance gains and represent some of the most compelling future “VO₂max-trajectory” drugs.

For long-term preservation, rapamycin and urolithin A stand out for improving mitochondrial quality and turnover, reducing inflammation, and preserving both cardiac and skeletal muscle function. Nitrates, PDE-5 inhibitors, and telmisartan improve vascular function and nitric-oxide signaling, which enhances muscle perfusion and reduces the oxygen cost of exercise. NAD⁺ boosters offer modest support to mitochondrial biogenesis. Myostatin inhibitors can help maintain muscle mass and training capacity with age, indirectly supporting VO₂max if combined with endurance training.

Lower-impact adjuncts include creatine, epicatechin, citrulline, CoQ10, and mitochondria-targeted antioxidants; these provide small improvements in training capacity or mitochondrial efficiency. TMG has minimal direct effect on VO₂max but may modestly support endothelial function and training quality.

In aggregate, (and much more research needs to be done) the best mechanistic strategy might combine mitochondrial-centric agents (rapamycin, urolithin A, ERR/PPAR-δ modulators), vascular NO-axis support (nitrates, PDE-5), and interventions that sustain muscle and cardiac resilience, giving the highest probability of preserving high VO₂max into older age.

Read the full thread: Supplements and Drugs that may help maintain VO2max levels during aging?

Related: Exercise, VO2 max, and longevity | Mike Joyner, M.D

5 Likes

I asked Gemini 3 (which was released just yesterday by Google, and is the smartest LLM model by a mile out there; it’s far more powerful than GPT-5.1-thinking, it’s not even close overall and completely crushes the other models; but, GPT-5.1 might be better at biomedical stuff, though I doubt it, given its performance on GPQA and the fact that Google has done a lot of biomedical AI work – e.g. AlphaFold and similar models) where there are any supplements that were missed that are worth taking a look at, and it wrote:

Summary of “The Missing Stack”

If you wanted to improve VO2max beyond what that post suggests, you would add:

  1. Cordyceps Militaris (3-4g/day)
  2. Sodium Phosphate Loading (before key events/tests)
  3. Heat/Sauna Protocol (Post-workout)
  4. Ferrous Sulfate/Bisglycinate (Only if Ferritin is <50 ng/mL)
  5. High-Intensity Intervals (Zone 5 training, not just Zone 2)

My prompt was:

Consider the following recent internet posting about the difficulty of increasing vo2max: Maintaining VO2Max as We Age: Possible Strategies, Drugs and Supplements

Are there any supplements or approaches it overlooks, or combinations of supplements, or inaccuracies in some of the claims made that underplay some supplement’s effect on vo2max?

3 Likes

I am using it as well. I have posted some of the results on the compartmentalisation of acetyl-CoA and citrate. However, I think it may also be more often wrong than chatGPT. It finds more, but more of what it finds which are subtle points are wrong.

1 Like

I think its hallucination rate is a little higher in some areas. OpenAI focused on getting GPT-5-thinking’s hallucination rate lower than other models; Google might have done the same for Gemini 3, though with slightly weaker outcomes.

I do know that at least some in the CS “theory” (and math) community think “hallucinations” are mostly solvable. I attended a talk, in fact, by one of my colleagues who is a leading expert on approaches to the problem. I asked him point-blank during his talk whether he thinks hallucinations are solvable, and he said he sees no reasons why the theoretical methods he talked about couldn’t reduce them to human level and below.

The fact that companies haven’t produced even more progress on the problem (though they’ve mitigated it a lot!) is probably due to a tradeoff between breadth of capability, hallucination rate, ability to produce a not-too-expensive model with not-too-expensive compute requirements.

I am about to focus on increasing my VO2 max, but I’m going old school… warm up, 4 mins close to max effort, 4 mins easy, repeat 4 times.

4 Likes

:muscle:t2:thataway

Me too,recently got an assault bike :sweat_smile:

Which ones where you choosing from?