1/ 🚨New N=1 Experiment: #IsItSaturatedFat🚨
🙏retweet🙏

Yes, I'm doing a new N=1 -- and it's going to be a biggie!

My good friend and colleague, @DrNadolsky completed his recent #MakingLMHR experiment concluding the added 2 sticks of butter as the reason for his LDL increase. Image
2/ He's already conceded he's left out all the context on aiming for #LMHR profile, the relevance of RER, and the #LEM (so no need for people to keep pinging me on the IG video). I've chatted with him privately and we'll leave it at that. 👍

3/ However -- this actually affords us a huge new opportunity.

@DrNadolsky's claim isn't just his own, it's just about everyone else's outside the low carb community.

Simply stated: high #LDL #cholesterol seen in #LMHRs is predominantly due to high consumption of saturated fat.
4/ Conversely, myself (and #LEM coauthors) posit it is more predominantly the Lipid Energy Model that explains higher #LDL in this context.*

This is why the RER readings were integral to the experiment when we first started talking about...

(*See mdpi.com/2218-1989/12/5…)
5/ Using these #LEM principles, I'd hypothesize I could consume the same proportion of calories from butter @DrNadolsky was, yet have a moderate to low LDL-C (keeping total calories at maintenance levels).

I'll have the write up for this experiment released soon, but for now...
6/ What do you think - can this really be demonstrated through dietary intervention alone using principles as detailed in the Lipid Energy Model?

Can I consume that much butter per day and demonstrate a moderate to even low #LDL #Cholesterol?

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Dave Feldman

Dave Feldman Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @realDaveFeldman

Jun 28
1/ I want to give huge props to @DrNadolsky for doing this #MakingLMHR experiment!

Yes, I know some of my followers may be blocked -- so I'm including an image as well.

If you're interested in how this experiment came about -- read on... 🧵 Image
2/ We've had an ongoing debate on how much (or little) #saturated fat consumption is responsible for high #LDL #cholesterol levels we typically see for #LMHRs.

Whereas I (we) believe #LEM to have greater relevance overall.

Which led to the experiment👇
3/ Could @DrNadolsky emulate the #LMHR phenotype while *not* being fat adapted? (or at least, to get his #LDL #cholesterol that high?)

He consumed two sticks of butter a day to test this! 🧈🧈

Yes, the experiment went more toward my prediction, so alas, I won't be flying there.
Read 7 tweets
Jun 18
1/ It begins...

Naturally, the #LEM would be a bit suggestive of this outcome where a diet is mid to moderately higher carb for this context.

Low TG typical of metabolic health.
Lower turnover of VLDL-TG = lower total cholesterol, lower LDL cholesterol, and lower HDL...
2/ If replacing M/PUFA with SFA but keeping all else equal (including -- importantly -- carbs) for this exact context, this might have a marginal impact on TC/LDL/HDL. But would it command a higher magnitude of increase? I'd be doubtful...

However, if replacing carbs with fat...
3/ ... Thus going lower carb, we get closer to the model around LEM and its explanation regarding TC/LDL-C/HDL-C changes toward the outcome magnitude of the LMHR phenotype.

Hence the value of looking to RER for this experiment to confirm/disconfirm fat-adaptation.
Read 4 tweets
Jun 15
1/5 This is BIG & I've really been looking forward to it. @DrNadolsky will be looking to see if he can reach a #LMHR phenotype while not being low carb or keto (or at a minimum, increase LDL-C to 200)

In short, can high consumption of saturated fat w/o being fat-adapted = #LMHR?
2/5 There's a bit of back-and-forth that originated this experiment which you can read about here 👇

And yes, this could literally result in my flying to him to confirm results directly with advanced bloodwork & RER (Respiratory Exchange Ratio)

3/5 But more importantly, this gets to a very common assumption regarding #LMHRs -- that their phenotype can be mostly explained by higher consumption of saturated fat.
Read 5 tweets
Jun 13
📣📣📣Big #diabetes #bundle drop for @ownyourlabs

🏷Introductory Sale for 5% until June 20th!

👇 👇 👇 👇 👇 👇
OwnYourLabs.com/diabetes
👆 👆 👆 👆 👆 👆

After much research, we decided on 4 variations of the bundle (see below)...
Basics Bundle

✅ Basic Metabolic Panel (8)
✅ Fructosamine
✅ Hemoglobin A1c
✅ Insulin

Diabetes Plus Bundle

✅ Comprehensive Metabolic Panel (14)
✅ Fructosamine
✅ Hemoglobin A1c
✅ Insulin and C-Peptide, Serum
✅ GGT
✅ Lipid Panel
Advanced Bundle

✅ Comprehensive Metabolic Panel (14)
✅ Fructosamine
✅ Hemoglobin A1c
✅ Insulin and C-Peptide, Serum
✅ GGT
✅ Uric Acid, Serum
✅ C-Reactive Protein, Cardiac
✅ NMR Lipoprofile
✅ Urinalysis, Complete
Read 5 tweets
Jun 7
1/ New video by @NutritionMadeS3 which I'd like to retweet for added discussion.

There's a layperson-friendly section in it that does a great job of illustrating the existing expectation of:

(1) LDL/ApoB Exposure Size
X
(2) Time
=
Rate of Plaque Development
2/ Using "mg-years" (much like "pack years" with cigs), one can quickly figure out what state of cumulative exposure they'd be at.

Gil's graph in video was similar to the one I tweeted on last week 👇

And indeed, this is the convention of exposure x time
3/ To be sure, I'd echo @NutritionMadeS3's qualifier in the video that this is expected at a population level. So the exceptions don't prove the rule (in either direction).

Hence the enormous importance of studying those with extremely high LDL/ApoB at a population level...
Read 8 tweets
Jun 5
1/ I'd love to take an opportunity to expand on this important topic, and if I may, suggest something important to watch for with some newly emerging data.

To @MichaelMindrum point, I too believe the #ApoB will demonstrate higher association with #ASCVD than #LDL #Cholesterol..
2/ But to be sure, ApoB can be best represented as:

(1) Non-LDL ApoB lipoproteins
- and -
(2) LDL ApoB lipoproteins

The first category is predominantly chylomicrons, VLDL, and IDL -- which associate very highly with ASCVD.
3/ You can think of category (1) as "Triglyceride Rich Lipoproteins" (TRL, aka "remnants") and category (2) as "Triglyceride Poor Lipoproteins" (TPL)

The population of #LMHRs have extremely high levels of ApoB. But this pattern is a mix of very *low* TRL and very high TPL.
Read 6 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us on Twitter!

:(