Mark Kaplan ✓
@markkaplan20 · Stamford, CT · joined 05 Apr 2014
Former ATP pro, world #117. Widowmaker at 52. Zero meds at 58. They blamed my genes. #1 Bestseller https://t.co/98ycmS1bhd UNPLUGGED https://t.co/4bcViHf32V reads your labs
31 940Followers
146Following
6 706Posts total
359.4KViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
My cardiac event came with a plan. Medication, a follow up, and a number to keep under.
Every part of it was about managing what had already happened.
Nobody asked why a fifty two year old with normal cholesterol had a heart attack in the first place. That question was not on h
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I had a cardiac event at 52. My LDL was 110. Normal by every guideline in the world.
My doctor never tested my Lp(a). He never measured my ApoB. He told me my cholesterol was fine and handed me a bag of statins.
Most people think LDL, ApoB, and Lp(a) are three separate things.
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I keep hearing the same thing since HORIZON failed.
“There are four more trials. Different molecules. Different approaches. More shots on goal.”
54,370 patients. Three pharmaceutical companies. Four different molecules. Billions of dollars. All targeting the same particle. All
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Stay tuned for https://t.co/kZ7uzmRCoO which we are launching end of year tying in high performance athletes into elite fitness.
This is adapted membership level of Neo and will be headed up by our leading Head of sports science Prof Tim Noakes PhD.
Neo is no ordinary
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@ifixhearts @DrAseemMalhotra @carbaddictiondr https://t.co/HfAoQmaLt6
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@markkaplan20 There are publications showing that increased saturated fat consumption lowers Lp(a).
Might as well eat butter.
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https://t.co/oH5Mmx2PRx
Upload your blood work. See what they missed. Free. No credit card.
Co-founders - Neo | HealthTruth
@ifixhearts Philip Ovadia MD, Cardiac Surgeon
@DrAseemMalhotra Aseem Malhotra, Cardiologist
@carbaddictiondr Robert Cywes, Metabolic Surgeon
12K views · 57 likes
· 12 reposts · 8 replies
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Upload your blood work. See what they missed. Free. No credit card.
https://t.co/n4vvp1Yr3b
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8,323 patients. A decade of development. Billions invested. A drug that did exactly what it was designed to do.
And the question the industry will spend years avoiding is the simplest one of all.
If lowering the particle does not change the outcome, was the particle ever the
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My Lp(a) is 175. I take this personally.
I was waiting for this trial like millions of others. Hoping that a drug could reduce the genetic risk I was born with. The one thing I cannot change with diet, exercise, or metabolic optimization.
The drug worked on the number. It did
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This is not the first time this has happened.
CETP inhibitors lowered LDL dramatically. Failed to reduce events. Torcetrapib. Dalcetrapib. Evacetrapib. Billions spent. Four trials. No benefit.
PCSK9 inhibitors lowered LDL to levels never seen before in human history. The https:
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Recent research has shown that the primary mechanism by which Lp(a) causes vascular damage is superoxide production and eNOS uncoupling.
Lp(a) generates reactive oxygen species that break the eNOS enzyme. When eNOS uncouples, it stops making nitric oxide and starts making more h
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Here is the question that the entire pharmaceutical industry does not want to sit with tonight.
If Lp(a) causes cardiovascular disease, and you remove it from the bloodstream, why did the patients not get better?
There are only two possible answers.
One: Lp(a) is associated ht
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· 20 reposts · 9 replies
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First, let me be clear about what this drug was. Because precision matters.
Pelacarsen is not a statin. It is not a PCSK9 inhibitor. It was not designed to lower LDL or ApoB. It was designed from the ground up, over more than 20 years of research, to specifically and exclusively
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My Lp(a) is 175. I have been waiting for this trial for years.
Yesterday, Novartis released the results of HORIZON. The biggest Lp(a) outcomes trial in history. 8,323 patients. A drug built from the ground up to do one thing: lower Lp(a).
The drug worked. The cardiovascular ht
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I had a cardiac event at fifty two with normal LDL cholesterol of 110
Nobody ever asked why.
Six years later I take no medication and my heart age is forty five.
Ninety seconds. I photograph an old lab report and you see what comes back, including one number every lab in the
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2:18
@markkaplan20 Fructosamine is an underutilized test because most docs don’t know how to interpret it
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@markkaplan20 EXACTLY!!!!
My Dr states I’m preDiabetic and hyperlipidemic in my chart. I’m prob the healthiest patient he has. My fasting insulin is 2.3. A1c is 5.6. Fasting glucose is 74. Trig/HDL is .6 with a 300 LDL (LMHR). My HOMA-IR is .42.
I’m amazingly healthy…that’s w
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My HbA1c is rising. My insulin is falling. My fructosamine is at the low end of normal. My trig to HDL ratio is 0.81. My testosterone is 795. I am drug free and performing better at 58 than I was at 40.
The system looks at my HbA1c and my LDL and sees a patient to medicate.
The
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If you eat low carb and your HbA1c is creeping up while your metabolic markers are improving, here is what to ask.
Get a fructosamine test. It costs less than $30. It will tell you whether your glucose control is actually worsening or whether your red blood cells are just living
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My LDL is 171. Flagged high in red on every lab printout.
But my triglycerides are 63 and my HDL is 78. That means my trig to HDL ratio is 0.81. That ratio is one of the strongest predictors of small dense LDL particles and cardiovascular risk. Mine is exceptional.
An LDL of
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Here is my full panel.
Fasting insulin 3.7. Optimal.
HDL 78. Optimal.
Triglycerides 63. Optimal.
Trig to HDL ratio 0.81. Optimal.
Fructosamine 216. Low end of range.
Testosterone 795. Optimal.
HbA1c 5.4. Flagged.
LDL 171. Flagged high.
Six markers say I have never been https:/
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Now look at the insulin.
When I started this journey after my cardiac event at 52, my fasting insulin was above 6. Not terrible by lab standards. But not optimal. Insulin resistance was building.
Over the last four years it fell steadily. It is now 3.7. Optimal is 2 to 5. I am
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There is a test that settles this. It is called fructosamine.
Fructosamine measures glycation over 2 to 3 weeks instead of 3 to 4 months. It does not care how long your red blood cells live. It eliminates the variable entirely.
My fructosamine is 216. The reference range is 205
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When your blood sugar is consistently low, your red blood cells take less glycation damage. Less damage means they live longer. Instead of 120 days, they may live 140 to 150 days.
A longer-lived cell collects more glycation simply by being alive longer. Not because blood sugar
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HbA1c measures how much sugar has stuck to your red blood cells over their lifespan. The higher your blood sugar, the more glycation. The more glycation, the higher the HbA1c.
A normal red blood cell lives about 120 days. So HbA1c is a 3 to 4 month average of glycation damage.
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My HbA1c has been rising for two years. From 4.8 to 5.4.
In the same two years my fasting insulin fell from over 6 to 3.7. My metabolic health has never been better by every other marker I track.
One number going up. Another going down. Same patient. Same period. Opposite https
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เทียบกับบัญชีขนาดเดียวกัน
28 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.
ยอดดูมัธยฐาน4 454บัญชีนี้959ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %13.94%บัญชีนี้3.33%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %1.03%บัญชีนี้1.86%ค่ามัธยฐานของ 10K–100K
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 10K–100K | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 4 454 | 959 | 4.64× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 13.94% | 3.33% | 4.19× |
| อัตราการมีส่วนร่วม | 1.03% | 1.86% | 0.55× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
21.1K5 Sep
16.5K
14.1K
12.1K
11.8K
6.7K
5.7K
12K
1.7K
5.7K
2.3K7 Sep
4.7K
4.2K
1.9K8 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.80%5 Sep
0.69%
1.07%
1.06%
0.61%
0.14%
0.17%
0.64%
0.97%
0.58%
1.01%7 Sep
1.88%
1.99%
1.71%8 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.86%.
What the audience does
Likes46.4%2 727 in total
Reposts7.1%419 in total
Replies3.4%201 in total
Quotes0.7%43 in total
Bookmarks42.3%2 484 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
7 Sep
Daily snapshots since 07 Sep 2026; the dashed line is the starting count.
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