The tl:dr -> There's more selective control with fatty acid exchange in tissues than we fully understand... but we have a lot more we've learned recently...
2/ "Preferential uptake of FAs into high demand tissues such as the heart, muscle and brown adipose tissue cannot be achieved by non-specific uptake, which would acutely distribute FAs equally into all cells."
- Translation: there's some selective trafficking going on here.
3/ "A second uptake process modulated by activity of capillary lipoprotein lipase (LpL) involves FAs derived from triglyceride (TG) rich lipoproteins (chylomicrons and very low density lipoproteins." (VLDL)
- Yes, lipoproteins + LPL = hydrolysis of TG to cells
4/ And HDL?
"Lipolysis also generates surface lipids and proteins, some of these transfer to HDL [7] and help explain why greater lipolysis associates with higher HDL levels." *
(*I'll have more to say on this in my presentation at #LowCarbUSA)
5/ "LpL synthesized by adipocytes and myocytes must be released from these cells to allow its transfer to capillary ECs."
-Imagine LpL in this context as an order given from the customer (adipocytes/myocytes) to the waiter (endothelial) to get food from the kitchen (bloodstream)
6/ "In a variety of LpL-expressing cultured cells, newly synthesized LpL is found both in the medium and on the cell surface. [These] might [be] different enzyme pools, but more likely both cell surface and released LpL are fated eventually to become active EC-associated enzyme."
7/ There's also quite a bit in this paper around ANGPTLs, which @nicknorwitz has been covering extensively as well for our research with the #LipidEnergyModel.
But I want to round to another part my good friend @siobhan_huggins would likely find particularly interesting...
8/ Genetically lower ApoC3 w/ lower TG associating low CVD events "...drove development of ApoC3 reduction methods to block its expression in the liver. An antisense oligonucleotide (ASO) to ApoC3 reduced circulating TG levels in humans including those with LpL deficiency..."
9/ "Although initially a surprising observation, in vivo data showed that ApoC3 inhibits both lipolysis and lipoprotein receptor mediated uptake of particles. Widespread use of this effective therapy was halted due to an unexpected reduction in platelet counts."
10/ It could well be side effects of the drug in question are what impacted these platelet levels. But could it not also be possible that some with non-genetic high ApoC3/TG levels are observing an increased immune response of which the ApoC3-Lp axis is relevant in this context?
11/ All this said, the authors point out there are still many unknowns in this process.
And FWIW, I continue to believe we will learn a lot more about fatty acid trafficking and homeostasis with greater research into fat-adapted individuals (insert special emphasis on #LMHRs)
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3/6 If you read nothing else, check out this section from the article, and why I'm so vocal about *not* looking only at #ApoB (which lumps non-LDL and LDL) together.
Again -- and with emphasis -- this is part of the larger hypothesis. But all the more reason to research it...
1/ I have a new favorite term: "unadjusted hypothesis-naïve exploratory linear regression"-- and it comes from @Ad_SotoMota, who @nicknorwitz and I are honored to be working with in this new project (news on that soon...)
I don't typically see the term as it's rarely employed...
2/ My layperson explanation is that this is explicitly letting the data speak for itself. Literally starting from scratch and seeing what patterns machine learning tells us are emerging. No adjusting the data at the beginning of the process which can bias the outcome (of course)
3/ I'm much more used to methodology sections describing several steps of adjustment selection by the researchers. This isn't to imply any wrongdoing by any means, but understandably, this can be problematic if one or more underlying assumptions for adjustments are incorrect...
1/ Very cool experiment and thread by @ScepticalDoctor who did a more #PlantBasedKeto and saw low #LDL#Cholesterol given high MUFA/PUFA relative to sat fat, along with high fiber (which supports my prior thread)
If looking to keep LDL low, this might be worth considering...
2/ As per my various tweets before this one on the topic, and not to beat a dead horse, I feel it is too often "low carb vs plant based" is often assumed the latter *must* be high carb -- thus, "low carb, animal-based vs high carb, plant-based"
... This is a false dichotomy...
3/ There are definitely some of us who are, as I like to say, "cautiously optimistic" with regard to higher LDL as appears to be resulting from metabolic fat adaptation in the context of higher sat fat, lower MUFA/PUFA and low to no fiber. But this risk degree is uncertain...
"... But the question then is – how do you actually solve this problem of having discourse and debate that's not in good faith. So we almost need like a third estate..."
2/ "... Like a different place where there's a very smart arbiter who's helping mediate. And it's all done in good faith, and the ideas actually get hashed out more. And the public can watch, right?
But such a thing doesn't really exist right now.
It really doesn't..."
3/ "... Because everybody is so tribalized, and it's very hard to get views on a YouTube or a Facebook doing that.
It's much easier to go 'full tribal'. Much much easier."
1/ Posting here for posterity. In my 2018 LMHR presentation I give a long section near the end where I encourage LMHRs to avoid "echo-chambering", check into different pro-LDL lowering voices (and mention Attia and Dayspring specifically), and extend my personal...
2/ ... promise to with regard to risk discovery and bringing it to attention within the community (and hey, now we're doing the LMHR study -- direct data coming soon).
I follow with a "that said," and posit that I suspect LMHRs will ultimately show low CVD and ACM...
3/ Because YouTube allows for jump-to-current-time links, someone straight up cut to the "that said" portion in order to exclude all the prior emphasis and efforts toward balancing.