Cholesterol Code – Part IV : Still Correlating… in the reverse

I just attended Low Carb USA at San Diego where I shared much of the data below. And while I was interested in a possible divergence that seemed to appear at the end of May in Part III, it turned out to be more of a one-off, probably due to a higher percentage of protein and a lower percentage of fat than my usual ratio.

In upcoming Part V, I’ll be revealing some new data on a “second N” to my study. I should have that up within the week.

For now, note that the new 21 to 28 data points include a 9 day period where I once again did a total of 7 days of blood draws. Thus, we again can see this mechanism in nearly real time.

I’ll let the graphs speak for themselves…

Three Day Average of Dietary Fat vs the LDL-C in the resulting blood test. The LDL-C still tracks inversely with total fat. (-81%)

Same blood tests, same dietary fat, but for HDL-C — which clearly tracks positively higher total fat. (65%)

Same blood tests, same dietary fat — but with a 2 day gap in between (Days -5, -4, and -3), but for LDL-P — which tracks inversely with higher total fat. (-82%)

And finally, same blood tests, same dietary fat — but with a 2 day gap in between (Days -5, -4, and -3), but for small LDL-P — which tracks inversely with higher total fat. (-72%)

If by this point you don’t see this is a highly regulated, highly responsive network in the lipid system (at least for my N=1), then you think I’m some kind of X-Men mutant. (In which case, I dib the name, Captain Cholesterol)

But seriously…

I now have very high confidence that this regulatory pattern is likely present with virtually everyone who is fat adapted (getting the majority of their energy via fat) without an underlying metabolic condition.

It’s also quite possible this applies to those who are not fat adapted yet still with no underlying metabolic condition. For that, we’d need more study.