2/ Also, it's all very mechanistic, with ANGPTL4 vs. 3/8 being oppositely regualted by feeding and fasting in a tissue specific manner such that fasting decreases fat storage in adopicytes and feeding promotes it.
And, perhaps, unsuprislingly, the lipid metabolism is...
3/ w.r.t ANGPTLs (and specifically 4, which controls local LPL activity) is linked with glucose homeostasis...
4/ Also, exercise locally induces ANGPTL4 in adipocytes so as to direct fat fuel to working muscles.
AcAc binds to the GPR43/FFAR2 receptor to promote Lipoprotein Lipase activity and help burn fat.
Some more details...
2/ Short-chain fatty acids (SCFAs) in the gut r known to modulate energy homeostatis. Butyrate, acetate, proprionate all have recptors. The acetate receptor is GPR43.
The ketone BhB is all well studied as a signaling molecule, and binds HCAR2 etc., but AcAc is less well studied.
3/ This paper provides good evidence that, during fasting and ketogenic conditions, its AcAc that helps promote fat burning (lypolysis) throughout the body (except in the gut, more on that in a bit). Again, AcAc binds GPR43 and promotes Lipoprotein lipase (LPL activity)...
New paper tries to claim high inter-individual variability as an excuse for backing the notion that #saturated fat is unhealthy. Things that I thought as I read…
1/ Abstract depicts sat fat as a burger with fries. Sigh...
2/ calls out isocaloric replacement studies 4replacing SAT w carbs rather than PUFA. Fair point, but what practical options r available to people in this world. How r ppl going to read this article? Trade butter for raw tahini, or soybean oil margarine, or go for low-fat cookie?
3/ Cite whole foods complex matrix as a confounding variable. Maybe just say eat whole food and not processed junk? most of American’s sat fat comes from sweets and pasteries, not whole foods. let's just agree the ice cream isn't saving your heart health, don't lump in the steak
1/ What would you predict would happen to fasting triglycerides and LDL if you just ate a TON of fat and Saturated Fat. Like, if you drank 6000 kCal and 1.6 Liters of heavy cream?!
Trigs (fat in blood) and LDL-C would obviously go up right?
2/ Well, if your #keto#lchf not necessarily. In fact, overeating tons of fat can DROP your fasting triglycerides and LDL like a stone! WTF?! So what’s going on…
3/ Well, chylomicrons from the intestines (and VLDL secreted by the liver) carry triglycerides. But their residence time in the blood is very short, such that when you have a fasted lipid test, the fat you ate should have been deposited in storage around your body. BUT…
I usually don’t get “into it” with people but recently did with a nutritionist who I felt mismanaged me in college. I threw out 5 on the spot questions..
1/ How many g of sugar are in a full mango 🥭?
Guess = 12. Answer = ~46.
2/ Grams fiber in an avo🥑?
Guess =3. Answer = ~13.
3/ Protein in 1 Oz pecans?
Guess = 9 g. Answer = ~2.5G
4/ potassium in a banana 🍌 (I mentioned 3.5-4.7 g/day is desirable)
Guess = 2 g. Answer ~0.4 g
5/ what proportion of red meat 🥩fat is SAT fat?
Guess = 75%.
Answer = ??? (U Guess! do u know more than this nutritionist?)
I’m usually a pretty accepting and level headed person, but this was a person who presented herself as a nutrition authority at a time when I was suffering and needed help. This, I suffered…
2/ I feel strange about this one because I’m actually really liberal when it comes to genetic engineering. You want to crispr by brain for Apoe2, great. I’m your lab rat... but this is really appalling. I’m not even anti-plant base, but the fact that he would propose this...
3/ demonstrates an extreme example of tunnel vision and clear close-mindedness about the issue of eating sustainably for the planet and for human health. It’s like the low-fat saga but with 21st century genetic engineering tools 🛠...
1/ How robust were the instruments? Were derived from linkage disequilibrium clumping w clumping parameters of 1 million nts, including 229 SNPs 4ApoB. Stated that tool would “not be considered weak,” Can someone explain this to the Twitter lay audience please?
2/ Building on that, while they adjusted for genetic parameters, I didn’t see anything about adjusting for medications? If they’re talking biomarker data and not adjusting for meds doesn’t the analysis appear vulnerable to healthy use bias?