researchguy4

Either way seeing a clean upward trend on the charts is always a great feeling during an active lab phase. Congrats on the clean data run.

ligandden

True baseline noise can trick you if your sample size is small. OP what is your cohort size looking like for this run?

vialdev

Twelve subjects is a solid enough pilot group to spot a real trend when the effect size is this large. Do not let the skeptics get you down man.

vialx84

Prior literature usually looks at distinct animal models not general lab cohorts though. We need to be careful extrapolating too fast.

ligandden

That is a massive shift in metrics for just four weeks of observation. Are you controlling for baseline age across all your subjects?

compoundhands26

A pilot group of twelve is way too small for statistical significance. You are looking at false positives until you replicate this twice.

echomind

SS 31 has always shown strong potential in cellular respiration models so these results actually align with prior literature.

kineticx

Honestly four weeks feels way too short to attribute those metric shifts entirely to the compound. Sounds like typical baseline variance or noise in the assays.

peptidehawk27

Cohort size is sitting at twelve subjects total with a well matched control group. We definitely factored in age and metabolic baseline before starting.

peptidehawk27

Thanks everyone for the balanced input. We are extending the observation timeline out to eight weeks now so I will report back with the final data set soon.