Remission Biome Protocol
Remission Biome is an experimental, medically supervised protocol designed to assist patients with ME/CFS (Myalgic Encephalomyelitis/Chronic Fatigue Syndrome) and Long COVID in potentially achieving a higher baseline in function and improving their quality of life. The protocol consists of a 6-stage process that patients undergo under the supervision of their own healthcare providers.
The protocol originated from a serendipitous discovery. Many patients reported experiencing temporary remission of symptoms after taking antibiotics prescribed for various infections. The remission events varied in duration from minutes to days and, in many cases, led to improvements in baseline function for varying periods. Remission events involve a complete cessation of all symptoms, as if the body were completely healed.
We have many ideas for how the antibiotics might cause remission events (for a look at our hypotheses click here) by decreasing evolutionarily adaptive sickness response symptoms, which come from neuroinflammation in the brain. The rest of the protocol is designed to contribute to lowering the neuroinflammation and deal with the effects of the antibiotics on the microbiome.
Patient researchers decided to try to replicate the remission events with additional interventions that would increase the likelihood of success and potentially lead to longer-lasting baseline improvement.
We believe patient-led research is the future
We have a data team ready to analyze the extensive daily tracking from the first group that will go through the final stages of the protocol in early to mid 2024. We will release our results to the public as soon as they are collated.
In 2023 we had 9 citizen scientists complete the protocol and those results led us to launch the next group.
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The R50 is made up of patients from around the globe, with varying levels of severity from mild to severe, patients who have been sick for decades and ones who have been sick for 1-2 years. The first stage is very individualized based on testing and this part of the process can take a long time to complete.