🚨 HbA1c Reduced From Above 12% to 7.6% in 4 Months
A woman enrolled with:
➡️ Fasting glucose consistently above 200 mg/dL
➡️ Post-meal glucose often between 350–400 mg/dL
➡️ HbA1c above 12%
She had already been trying to eat healthier and was consuming reasonable amounts of protein, but her glucose levels remained severely elevated.
Being in the US, it was difficult to arrange some of the additional investigations that I would have ideally liked to perform to better understand the underlying physiology. Therefore, decisions had to be made primarily based on her clinical presentation, glucose patterns, and available laboratory data.
The problem wasn’t simply what she was eating. When fasting glucose stays high throughout the day, it indicates severe insulin resistance along with excessive glucose release from the liver. In perimenopause and menopause, hormonal changes, loss of muscle mass, and worsening insulin resistance can further impair glucose regulation.
She was taking glimepiride, a DPP-4 inhibitor, and metformin.
However, given the severity of the hyperglycemia, we couldn’t rely on stimulating the pancreas so we transitioned to a low dose basal-bolus insulin approach while continuing metformin.
At the same time, we focused on:
Protein-prioritized meals
Nutrient-dense whole foods
Preserving and rebuilding muscle mass
Supporting metabolic health through lifestyle interventions
Stress management
So, basically addressing different factors contributing to insulin resistance in her body.
The result?
📉 HbA1c dropped from above 12% to 7.6% in approximately4 months.
Today, when she follows the plan consistently, her glucose levels are commonly in the 90–150 mg/dL range. Occasional higher readings still occur with off-plan meals, but the overall improvement has been substantial.
This case highlights an important lesson:
Type 2 diabetes is not always a simple consequence of eating too many carbohydrates in females.
Severe metabolic dysfunction often involves insulin resistance, impaired glucose regulation, loss of muscle mass, hormonal changes, and excessive glucose production by the liver.
Lowering blood sugar is important but Restoring metabolic health is the real goal in such cases.
HbA1c >12% to 7.6% in 4 months is a significant improvement and shows what can happen when medication, nutrition, and physiology-based lifestyle interventions work together.
A few of you have mentioned that my posts can be quite long. I accept the charge! True history & scientific methods require depth; you cannot bust centuries of myths in a 10 word soundbite. However, I respect your time. From now on, I will provide the Crux right at the start. If it grips you, stay for the full breakdown. If not, feel free to skip & scroll further!
Think refined white sugar was a Western invention/imported from China (just because we call it Cheeni)? It is a case of identity theft.
- In 350 CE, Gupta-era Indian chemists invented the exact pH-balancing technology needed to turn raw cane juice into white crystals (Śarkarā).
- In 647 CE, Chinese Emperor Taizong sent a state mission to Bihar specifically to learn this chemical process.
- We call it Cheeni today only because China later mass-produced a specific ultra-white variety & traded it back to us. Here is the complete breakdown:
The English word Sugar, the Spanish Azúcar, the Arabic Sukkar & the Latin Saccharum all track back to a single linguistic ancestor: the Sanskrit word Śarkarā (which originally meant gravel/grit, referring to the look of sugar crystals). If the West/the Middle East/China invented refined sugar, why are they all using a Sanskrit word to describe it?
Before the 4th century CE, the world only knew how to boil sugarcane juice down into a sticky, dark, unrefined mass (what we call Gur/Jaggery). Keeping it liquid/semi-solid meant it spoiled quickly & could not be transported across vast distances.
During the Gupta Dynasty (c. 350 CE), Indian scholars turned food into chemistry. They discovered that by adding specific alkaline clarifying agents like lime/plant ash to the boiling cane juice, they could alter its pH level. This caused the impurities to separate & float to the top to be skimmed off. Once cooled, the pure sucrose did something miraculous: it precipitated & crystallized into hard, white granules.
So why do we call it Cheeni today?
Let us look at the imperial records of the Chinese Tang Dynasty. In 647 CE, Emperor Taizong sent an official state mission to Magadha (modern day Bihar). Their goal was not political, it was industrial espionage. They came to study the scientific methods of sugar refining.
The Chinese took this tech back, optimized it over the centuries for mass factory production & eventually exported a specific variety of ultra-white sugar back to India. Because it came via Chinese traders, locals began calling it Cheeni.
China did not invent sugar refining; they went to university in Bihar to learn it. The next time you stir a spoonful of sugar into your milk, remember: you are not using a Western/Chinese invention. You are witnessing a 1000s yr old triumph of Indian chemistry.
Ice cream can be a superfood.
Made with replacing some of the sugar with allulose makes it even better. We have two R&D trials on right now in different parts of India. It can even be made at home in a mason jar!
Ice cream is actually one of the healthiest foods in existence, judging by a multitude of recent research articles.
There was a very highly publicized article that came out in 2018 out of Harvard.
It was for a student's dissertation, he found that ice cream was inversely associated with heart disease.
The nutrition department and the student himself tried repeatedly to "make the association go away" with different analysis, and checking his work.
But it didn't.
Not only was ice cream reported as beneficial,
it was actually one of the most beneficial dairy products analyzed.
With up to a 12% reduction in heart disease risk for having >2 servings of ice cream per week.
This wasn't the first study to find benefits of ice cream, and it also wasn't the last.
In a 2013 meta analysis of studies, they also found a protective effect of ice cream on diabetes.
You can see the bias against ice cream, as they don't even mention it in the main page.
That's despite ice cream showing one of the BEST results of any food studied for diabetes risk.
Another study from 2014 showed the same thing.
Again, this is a meta analysis, not just one study. They are pooling together all of the studies on ice cream and diabetes and still finding this.
The best result of any dairy food studied - here with a 32% reduction in diabetes risk.
The bias against ice cream is very strong in these studies.
A 2016 study once again showing the same benefit of ice cream for diabetes risk.
They say that the study above (Chen et al) showed "attenuated association" once diet collection information was stopped after hypertension or high cholesterol diagnosis.
They argue that this means that the association is invalid.
But not only did they not try to dismiss any other food studied like this, but this is just objectively not true (see above - there still was an association).
They also buried their results on ice cream in the supplementary tables so it didn't even make the paper.
That's probably because they didn't like the fact that once again, ice cream intake was inversely and strongly associated with diabetes risk.
So you really can't argue that there was some kind of agenda in favor of ice cream here.
More recent studies show the same thing.
A 2019 paper again showed a lower risk of diabetes with increased ice cream consumption.
And again, they put this information at the very end in the supplementary tables to try to hide it.
Finally, the most recent study in 2024 showed the STRONGEST association for ice cream's protective effect on diabetes.
There was a linear dose response.
That means more ice cream = less diabetes, straight up.
In fact, there was a 50% reduction in risk for having one serving per day.
Which, as you could guess by this point, was the greatest risk reduction of any dairy food studied.
Why would ice cream actually be good for you?
My main guess is the unique protective fats in dairy, that are abundant in ice cream.
◇ C15
◇ C17
◇ CLA
◇ TVA
◇ TPA
are fats almost exclusively in dairy fat, and all have unique effects.
◇ Mitochondrial enhancing
◇ Anti-inflammatory
◇ Anti-thrombotic
◇ Lipid lowering
◇ Fat burning
◇ Cancer preventing
I've covered these all at length in other content.
Of course, this is all observational.
This is simply seeing what people eat and then seeing what happens to them. It's not an experiment. That is definitely a limitation.
However, when you see the same association, consistently, across decades, regardless of analysis and confounding adjustment, you probably have something real.
This is not to say everyone should go and immediately pound gallons of ice cream for invincibility.
But... it does mean having reasonable amounts of ice cream is likely good for you.
If you don't want to spend your 30s buying new sizes of clothes then you can not eat most protein bars etc. that say sweetened with dates as a snack, ever.
You can end up with three wardrobes if you don't eat a proper meal of sufficient, good quality protein and fats to help your body handle the onslaught of 20+ grams of sugar.
Chocolate brand Paul & Mike filed a complaint with FSSAI against The Whole Truth over its no added sugar claims on products sweetened with dates.
The Whole Truth argued that date-sweetened products are globally accepted under the “no added sugar” category. They also claimed that date powder has a lower glycemic index of 43 compared to sugar’s GI of 65.
Later, TWT agreed to change the labeling to “sweetened with dates” instead.
This is a good step. Marketing claims should be truthful, unambiguous, and non-misleading. “No added sugar” can easily make consumers assume a product is sugar-free or significantly healthier, even when it still contains high amounts of natural sugars. We need to standardise Zero Sugar claims to be “Total Sugar = 0gm”
Consumer transparency should always come first.
Normal A1c ≠ normal metabolism.
A1c measures glucose.
It does NOT measure:
• Insulin
• Insulin resistance
• Metabolic flexibility
• Visceral fat
There’s more to the story.
You gotta realise humans split into two distinct groups - gen z is the first generation to grow up with phones. It's a completely different world now. It's like during the Ice Age, the Barring Straits were usable and then for thousands of years, until Columbus, they existed separately to everywhere else.
@VedantOps You are creating institutions with a memory of every problem and solution attempted such that an a
New employee can hopefully just 'google' the solution from company experience.
In the summer of 2010, David Fajgenbaum was everything a young man could hope to be.
He had been a Division I college quarterback. He spoke multiple languages. He was in his third year at one of America's top medical schools, the University of Pennsylvania. He had his whole life mapped out in front of him.
Then his body turned on him.
Almost overnight, his organs began failing. His lymph nodes swelled. He was exhausted beyond anything he had ever felt. Within days, he was rushed to the emergency room. Weeks of testing followed. Finally, doctors gave it a name: Castleman disease — a rare and catastrophic condition where the immune system attacks the body's own organs.
There was no cure. There was barely a treatment.
A priest came to his hospital room and read his last rites.
David said goodbye to his family.
Then, somehow, an aggressive round of chemotherapy pulled him back from the edge.
But it didn't hold. Within three years, he collapsed again. And again. And again. Five times in total, he came to the edge of death. Five times, chemotherapy bought him a little more time.
After the fifth collapse, his doctors sat with him and said the words no patient wants to hear: his body had received the maximum amount of chemotherapy a human being can survive. If he relapsed again, there would be nothing left to give him.
He would die.
Most people, hearing that, would have spent whatever time remained saying goodbye.
David Fajgenbaum picked up a medical journal.
From his hospital bed, between treatments, he began doing something no patient had ever done before — systematically studying his own disease with the full knowledge of a trained physician. He analyzed thousands of pages of his own medical records. He tested his own blood samples, looking for patterns invisible to everyone else because no one else had both the data and the desperate motivation to find them.
And he found something.
In his lymph node samples, a specific protein signaling pathway called mTOR was firing at abnormally high levels — essentially sending the immune system into a frenzy that destroyed his own organs. It was a clue no one had spotted because no one had looked in quite that way before.
Then he searched for something that could stop it.
He found it in an unlikely place: a medication called sirolimus, already approved and available, commonly used to prevent organ rejection after kidney transplants. No one had ever tried it for Castleman disease. But on paper, its mechanism was a near-perfect match for what David had found in his own blood.
Under his doctor's supervision, he began taking it.
Within days, his symptoms vanished.
Not improved. Vanished.
The man doctors had given up on walked out of the hospital. He finished medical school. He married his girlfriend Caitlin. He became a father. He became one of the youngest faculty members ever to receive tenure at Penn Medicine.
And then he turned around to face everyone still waiting in the dark.
He founded the Castleman Disease Collaborative Network, building the first global research effort for a disease that had none. He launched Every Cure — an organization that uses artificial intelligence to search all existing approved drugs for hidden matches with diseases that currently have no treatment. The idea is simple and revolutionary: there are over 1,500 approved drugs in the world and over 7,000 diseases with no treatment. The cures may already exist. They just haven't been matched yet.
Over 15 years, Fajgenbaum and his partners have helped advance 28 repurposed drugs — 14 directly led by him. MedicalXpress
A priest once came to read him his last rites.
Today, David Fajgenbaum has authored over 100 scientific papers, appeared on TIME's list of the world's most influential people in health, and continues to take his small sirolimus tablet every single morning the pill he found himself, in the darkest room of his life, when no one else was looking.
He didn't wait to be saved.
A whole bar is absolutley unsuitable for anyone watching their blood glucose.
One Almond Cocoa snack bar (35g): 10g of sugar, glycemic load around 4.5.
One protein bar (52g–67g): 12–17g of sugar, glycemic load 5 to 8.
Three bars a week, across a year: roughly 700 GL units from a single snack habit.
700 GL units a year is the metabolic equivalent of eating 700g of pure glucose annually, just from the bars, or about a bag and a half of table sugar.
Day-to-day reference points. Nutritionists typically call a meal "low GL" under 10, "high" over 20. A slice of white bread is roughly 10. A 330ml Coke is around 16. A standard plate of white rice is 20-25. So if you eat five eggs, or, I dunno, half a chicken before, maybe ok.
A recent enrollee shared something that really stood out to me.
She said that for the first time, someone had connected all her health issues instead of looking at them separately.
Diabetes.
Hypertension
Chronic gut issues
Poor sleep.
Fatigue.
Weight gain.
Emotional eating.
Migraines.
Hormonal changes.
Stress.
One of the most common mistakes in health is looking at symptoms in isolation.
These are often not separate problems. They can be different expressions of the same underlying imbalance in the body.
Nutrition is a powerful tool, but food is not the only input the body receives.
Sleep, stress, breathing patterns, nervous system function, movement, daily routine, emotions, environment, and relationships all send signals that influence our metabolism and overall health.
The human body works as one connected system, not as separate organs and symptoms.
This is why I believe real healing happens when we connect the dots, understand the bigger picture, and work on all the factors affecting health, not just what’s on the plate.
Sustainable results come from addressing the whole person, not chasing individual symptoms.
Health becomes much easier to understand when we stop asking, “Which symptom should I fix?” and start asking, “What is my body trying to tell me?”