For the short version with pictures, see below. For the long version, read on after…
A couple months ago I started talking to my sister about taking my data to the next level. But to do so, I’d need someone else’s help — to which she immediately volunteered. (Side note: my sister is uberawesome!)
In fact, my sister was perfect for what I wanted to test specifically. While her cholesterol numbers went up after going low carb last year, they didn’t rise nearly as much as mine. In fact, both her LDL-C and LDL-P were generally half of mine. Thus, we would have different starting points on our cholesterol when we ate, which is the goal.
I then started planning all our meals to be similar to my prior March week-long solo test. There would be the same day-by-day blood tests during one week. Only this time we’d add one test for the Friday before the week, and the trailing Monday that followed it, seven blood draws in all, each was an the advanced cholesterol test, NMR (Nuclear Magnetic Resonance).
Once started, we had to eat the same food at exactly the same time, no exceptions. Both of us had to take pictures of everything we ate, along with weighing them when possible. Half of the time she was in her state, then flew to me in my state where I’d then on prep, weigh, and cook our duel meals personally.
Generally, I tried to keep our food mostly home-prepared and stay away from processed or fast food. But both before the meal plan and following we ate out a little more. Also, my sister likes Zipfizzes, so we agreed to have one a day through the planned days as well.
Overall, the plan worked beautifully! My sister stayed religious to the diet and timing and we didn’t have any sudden surprises that thew us off the rails. I have a few fun stories that I’ll save for in person talks later.
The Comparative Data
Beyond the Total Cholesterol hook above, it’s worth looking closely at the other markers as well.
Our LDL-C was an impressive 88.9% correlative with each other! Did I put only one exclamation mark there? I meant three — 88.9% correlative!!!
And here’s a relative comparison to really see the match up:
This was especially relevant to me given my general theory encompasses energy trafficking as being the primary driver of these LDL cholesterol payloads. If I’m losing you here a little, don’t worry, I’ll cover this in a future post.
Like my own data before this, HDL doesn’t often move too much, but typically tracks with three day dietary fat in a positive correlation. More fat, more HDL. Between the two of us, we correlated a solid 71%.
This next piece of data is extremely relevant to me (which I’ll get into in the theory post). It also tends to have a high standard deviation relative to the other markers from my past tests. However — in this case it was remarkably close in comparison to each other’s at a 77%. Incredible!
So here is where things get interesting. On both LDL-P and Small LDL-P, Darla and I track very closely with the exception of the very last data point (7/18). In fact, the metric is so off course as to be suspicious to me. Up to that test, we had been eating everything identically as with the others, so what happened?
I’m loathe to suggest a lab error, especially since the non-P metrics appear to line up correctly. But unfortunately, there’s no easy way to find out as I have no direct contact with the lab (as it should be). For now, I’ll list both the complete results and what the correlation is without it and you can judge for yourself.
It’s hard to quantify in words how happy I am that we captured this data and confirmed the previous patterns I’ve observed to this point. Our next steps will a new N, Nicole Recine, a Ketogenic Practitioner who has graciously accepted being our #3. We’re currently in the planning phase and hope to set up the next capture in the coming weeks.
I couldn’t end this article without given a very sizable thanks to my sister, Darla, and her contribution to this science.