Insights from PNOĒ Breath Analysis in Biohacking & Hormone Therapy

Background

Dylan Gemelli is a biohacker, wellness educator, and hormone optimization specialist with over a decade of experience in steroids, SARMs, peptides, and hormone therapy. With over a million followers, he has built a significant online presence, producing educational content on hormonal health, fitness, and longevity strategies.

He has been invited to speak at major events, including Mr. Olympia’s 60th anniversary, and is featured in an upcoming biohacking documentary. His focus has shifted from performance enhancement to long-term health and wellness, exploring peptides, testosterone replacement therapy (TRT), and lifestyle interventions for optimizing longevity and recovery.



Challenge

Despite his expertise in hormones, peptides, and fitness, Dylan had never undergone a breath analysis to assess metabolic efficiency, nervous system function, or respiratory health. His key areas of interest included:

  1. Metabolic Efficiency – Understanding fat vs. carbohydrate utilization in real-time.
  2. Respiratory Function – Evaluating breathing efficiency and CO₂ regulation, particularly after a recent COVID-19 infection.
  3. Recovery & Stress Balance – Measuring sympathetic vs. parasympathetic activation and the effects of PEMF therapy on relaxation and fat metabolism.

As a biohacker and longevity enthusiast, Dylan was interested in objective physiological data to fine-tune his approach to hormones, peptides, training, and recovery.



Solution

At the Udonia Summit, Dylan underwent a PNOĒ breath analysis as part of an experimental setup evaluating the effects of PEMF (Pulsed Electromagnetic Field) therapy on metabolic function. The test was conducted in two stages:

  1. Baseline breath analysis while lying on a PEMF therapy bed with no electromagnetic stimulation.
  2. Repeat analysis with the PEMF bed activated at a grounding frequency designed to promote relaxation.

The PNOĒ test measured:

  • Resting Metabolic Rate (RMR) – Energy expenditure at rest.
  • Fat Burning Efficiency – The ability to use fat vs. carbohydrates for energy.
  • Respiratory Function – Breathing mechanics, lung utilization, and CO₂ balance.
  • Sympathetic-Parasympathetic Balance – Nervous system activation and stress response.



Case Study

Dylan’s PNOĒ test results revealed:

  • Strong Metabolic Performance – High caloric burn and fat oxidation, consistent with his background in training and hormone optimization.
  • Respiratory Inefficiencies – Low lung utilization and poor CO₂ retention, affecting oxygen delivery and metabolic function. His recent COVID-19 infection likely contributed to this.
  • Sympathetic Dominance – His nervous system was in a stress state, leading to a reliance on carbohydrate metabolism over fat burning.

When PEMF therapy was activated, his autonomic function shifted toward parasympathetic dominance, improving fat metabolism and nervous system balance. This demonstrated PEMF therapy’s effectiveness in enhancing metabolic flexibility and recovery.

Recognizing his breathing inefficiencies, Dylan decided to explore respiratory training tools to improve his CO₂ balance and oxygen utilization.



Conclusion

Dylan Gemelli’s experience with PNOĒ breath analysis highlighted how objective metabolic data enhances biohacking strategies. By quantifying metabolic flexibility, breathing efficiency, and stress responses, breath analysis provided new insights that complement hormone therapy, peptide use, and recovery protocols.

His PNOĒ test results validated PEMF therapy’s impact, showing immediate shifts in autonomic regulation and fat metabolism, reinforcing its role in longevity-focused interventions.

For Dylan, breath analysis opened new possibilities for refining hormone optimization, training programs, and recovery methods, adding a powerful new layer of data to his biohacking expertise.

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