2/ Certainly the biggest impact is bringing this phenotype well into the spotlight.
If you've been following my work from the beginning, you can appreciate just how much energy I've put toward putting this phenotype in front of Lipidologists.
3/ But this is understandably a challenge given how much progress on this research has been accomplished outside typical channels ("Citizen Science").
-- Until now.
4/ Excitement has been building substantially for both the mechanistic plausibility of the Lipid Energy Model (#LEM) and the unique context of #LMHRs.
5/ Again, there's a special significance in advancing this discussion to the world of Lipidology in particular, which is why I'm particularly pleased to see it in the pages of the @LipidJournal.
6/ What you might not have known is that the #LMHR FB group, myself, and Nick all pitched in for the Open Access fee.
To their enormous credit, the journal has waived the fee and thus everyone can read it for free.
On this day in 2015 I received a lab result that would alter the course of my life.
Just two weeks earlier I had gotten my very first bloodwork after half a year on #keto that showed my total and #LDL#Cholesterol had nearly doubled (!)… /1
2/ With that first test I was overcome with shock and curiosity — much more former than the latter.
I wanted to get a repeat test to confirm this wasn’t a lab error.
I wasn’t ready to give up #keto, but I was miserable enough that I ate considerably less.
3/ At the same time I learned as much as I could about Lipidology - which focuses on how the body moves lipids (like cholesterol) in the blood.
And to my surprise, this system is already very familiar to me as a software engineer given it is a distributed object network.
1/ 🧵 I like a lot of @NutritionMadeS3's videos, but I'll concede this one was a little mixed, so I wanted to share some notes (it gets better by the end)
As always, I hope this will be received by everyone in a productive, respectful manner.
3/ As an analogy - if someone were to make a video that outlined:
"Myth: LDL-C < 70 will keep you from ever having a heart attack" -- and then knocked it down, it would rightly be considered a strawman position of proponents more knowledgeable and representative of the whole.
3/8 Our second paper brings a case report on a single #LMHR with extremely high #LDLc (~500 mg/dL) for 2.5 years, their eating patterns, and current CT angiography.
(⚠️Please note this is a single case report and should be considered anecdotal, ofc) doi.org/10.3389/fendo.…
As usual, I'll give my caveats this is back-of-the-envelope on data I wrangled via CDC on this expansive dataset -- and it's associational, ofc (observational)
So what are the lipids like for those who live to 100yr in NHANES?
2/ Remember, these aren't the lipid levels taken *at* age 100+, it's what their levels where at the time of examination 15-20 years prior.
This is very relevant when considering reverse causality given this extreme gap in time for all who were reaching centenarian status.
There are now 32 NHANES participants with lipids & mortality data who have lived to at least age 100 (age + followup > 100yr.), thus earning the designation of "centenarian"
What was mean avg #LDL-C for this group from their bloodwork 15-20yrs prior?
2/4 What was the mean average #HDL#Cholesterol (#HDL-C) for this group from their bloodwork 15-20yrs prior?
3/4 What was the mean average #Triglyceride (TG) levels for this group from their bloodwork 15-20yrs prior?
2/ CCTA gives a scan of both calcified and non-calcified plaque in the arteries of the heart.
There's an extremely small risk of adverse effects from the contrast dye, and a low exposure to radiation with the latest machines.
However, CCTA scans can be pricy (ie $500-1000)
3/ CAC is just the calcification of the coronary arteries, but it is surprisingly correlative to soft plaque AND is very predictive of future events. Check out @khurramn1's work on this for more info.
It also requires no contrast dye, is lower radiation, and typically $99-300.