Diabetes: Why One Sugar Standard Cannot Fit Every Human Body by Dr. Ravishankar Polisetty
Diabetes: Why One Sugar Standard Cannot Fit Every Human Body by Dr. Ravishankar Polisetty
Diabetes: Why One Sugar Standard Cannot Fit Every Human Body by Dr. Ravishankar Polisetty
Dr. Ravishankar Polisetty
A Global Pioneer in Cardiovascular Excellence
Dr. Ravishankar Polisetty is an internationally respected cardiovascular surgeon, scientific innovator, and translational research leader with a distinguished global career spanning India, Russia, Europe, Canada, and the United States.
He pioneered heart tissue regeneration in Post-MI models, integrates Scientific Ayurveda with precision systems biology, and has shaped global medical science through clinical research, AI-powered healthcare engineering, and device-level innovations.
With 4 patented innovations, 29 patent filings, and over 60 publications, Dr. Polisetty stands at the forefront of medical innovation, serving as a keynote speaker worldwide and advisor to governments, universities, and industries.
A few years ago, a senior corporate executive walked into our clinic carrying his health check-up report. The diagnosis printed in bold letters read: “Pre-diabetic.”
“I run ten kilometers every morning,” he said. “I maintain a disciplined diet. I don’t drink sugary beverages. Yet I’m being told I’m almost diabetic.”
A few days later another patient arrived with the opposite story. He had fatigue, constant thirst, abdominal weight gain, and declining energy levels. Yet his laboratory results still fell within what most diagnostic frameworks would consider acceptable glucose levels.
Two very different metabolic realities.
Yet both were being evaluated using the same universal diagnostic standards.
That moment raises an uncomfortable but necessary question.
Can a single blood sugar threshold truly define diabetes for every human body?
India and the Diabetes Paradox
This question becomes even more urgent when we look at India.
India is often referred to as the “diabetic capital of the world.” Millions of Indians live with diabetes today, and millions more are classified as prediabetic. The epidemic continues to expand despite decades of medical advances and public health awareness.
Yet many physicians quietly acknowledge a troubling observation.
Some individuals develop complications at relatively modest glucose levels.
Others maintain stable health despite higher readings.
This paradox is precisely the issue explored in the papers “Current Issues in Understanding of Diabetes” and “Conceptual Challenges in Diabetes” published in Research & Reviews: Journal of Medicine. These papers question whether current diagnostic frameworks adequately capture the complexity of metabolic physiology.
The authors argue that diabetes may not be a single uniform disease but rather a spectrum of metabolic states.
To understand why, we must look deeper than blood sugar.
We must examine how cells behave electrically and metabolically.
The Electrical Nature of Metabolism
Every cell in the human body carries a small electrical charge known as the resting membrane potential.
This electrical gradient exists because ions are distributed differently inside and outside the cell membrane. The voltage difference determines how easily the cell can activate and perform metabolic work.
In simple terms, every cell functions like a tiny biological battery.
When this electrical state shifts, metabolism shifts.
When metabolism shifts, glucose handling also changes.
This concept became particularly clear in the electrophysiological studies conducted by Dr. Polisetty, where dietary patterns rooted in Ayurvedic physiology were shown to alter cellular membrane potentials.
In those experiments, animals were fed diets designed to aggravate Vata, Pitta, and Kapha physiological states.
The findings were remarkable. Different diets produced different resting membrane potentials. Some stabilized cells near –70 millivolts, others pushed them toward –90 millivolts, and some produced extreme hyperpolarization beyond –100 millivolts.
In other words, diet itself changed the electrical readiness of cells.
And when cellular electricity changes, metabolism changes.
When metabolism changes, glucose regulation changes.
The Race Car, the Truck, and the Family Car
To understand this intuitively, imagine three different vehicles.
The first is a Formula One race car. Its engine burns fuel extremely rapidly. Combustion is aggressive, optimized for speed and high energy output.
The second is a heavy cargo truck. Its engine is slower and designed to conserve energy while carrying large loads over long distances.
The third vehicle is a normal family car, balanced between efficiency and performance.
Now imagine filling all three vehicles with the same amount of fuel.
Would they behave the same way?
The race car burns fuel instantly.
The truck conserves fuel and moves steadily.
The family car falls somewhere in between.
Human metabolism behaves in a similar manner.
Some individuals possess metabolic systems that resemble race cars — fast, reactive, and metabolically intense.
Others resemble heavy trucks — slow, energy-conserving, and more prone to storing fuel.
Most individuals fall somewhere between these extremes.
Yet modern diabetes guidelines often apply the same glucose threshold to everyone, regardless of their metabolic engine.
Why Different Organizations Recommend Different HbA1c Targets
Interestingly, major medical organizations themselves acknowledge this complexity.
The American Diabetes Association (ADA) generally recommends an HbA1c target of below 7% for most adults with diabetes, while emphasizing that targets should be individualized depending on age, comorbidities, and risk of hypoglycemia. (Links Medicus)
In contrast, the American College of Physicians (ACP) recommends a more moderate treatment target between 7% and 8%, arguing that intensive glucose lowering below 7% often provides limited additional benefit while increasing risks such as hypoglycemia and medication burden. (American College of Physicians)
Similarly, organizations such as the American Association of Clinical Endocrinology (AACE) and other endocrine bodies emphasize that HbA1c targets must be individualized based on factors like life expectancy, duration of diabetes, comorbidities, and treatment risks. (Endocrine Practice)
Even major clinical trials have shown mixed outcomes regarding intensive glycemic control. Some studies demonstrated reduced microvascular complications with aggressive glucose lowering, while others revealed increased hypoglycemia risk without clear improvements in survival.
The result is a fascinating situation.
Different data-driven organizations recommend different standards for the same disease.
This diversity of recommendations may actually reflect a deeper truth:
Different bodies require different metabolic targets.
The PRISM Interpretation of These Standards
Within the PRISM framework — Polyscientific Regenerative Integrative Systems Medicine, these variations begin to make physiological sense.
In a Kapha-dominant metabolic state, the body behaves like the truck engine — slow, energy conserving, and prone to fuel accumulation. In such individuals, tighter glucose control similar to the ADA target of around 7% HbA1c may be beneficial to prevent progressive metabolic stagnation.
In contrast, a Pitta-dominant metabolic system behaves like a high-performance engine already operating under intense metabolic activity. For such individuals, a moderate HbA1c range closer to the ACP recommendation of 7–8% may represent a more physiologically balanced target, avoiding excessive metabolic stress from overly aggressive glucose lowering.
In individuals with Vata-dominant physiology, the system behaves like a sensitive race car engine — reactive, fluctuating, and vulnerable to instability. In such cases, glucose variability and hypoglycemia risk may be more relevant than strict numerical targets. Guidelines that emphasize individualized and flexible control, such as those proposed by gastroenterology and metabolic societies, may better reflect this physiology.
In other words, what appears to be disagreement among medical organizations may actually reflect different metabolic realities within human populations.
Clinical practice often reveals these differences vividly.
One young entrepreneur developed metabolic dysfunction despite intense exercise and disciplined eating habits. His metabolic engine behaved like a race car constantly running at high RPM, producing inflammatory stress and hormonal instability.
Another patient, a middle-aged businessman with minimal physical activity, developed diabetes gradually over many years. His metabolism resembled a slow-moving truck, steadily accumulating metabolic load until glucose regulation failed.
Both individuals were diabetic.
But their metabolic systems were fundamentally different.
Treating them with identical strategies would be like repairing a Formula One engine and a cargo truck using the same engineering manual.
The Future of Diabetes Care
If diabetes is truly a systems disorder rather than simply a sugar disorder, the future of medicine must move toward precision metabolic understanding.
Within the PRISM ecosystem, technologies such as Docture Poly aim to evaluate physiological signals across multiple organs and detect patterns of imbalance known as VPK-42 signatures.
These signatures reflect the dynamic interplay of Vata, Pitta, and Kapha across different organ systems, offering insights into metabolic instability long before conventional laboratory values become abnormal.
To train clinicians in these concepts, the Institute of PRISM (I-PRISM) has been established as an educational platform.
In collaboration with IIT Hyderabad, interdisciplinary courses are being developed to help physicians from all medical traditions — modern medicine, Ayurveda, integrative medicine, and wellness sciences — understand metabolism through the combined lenses of systems biology, electrophysiology, and translational Ayurvedic research.
Rethinking Diabetes in the Diabetic Capital of the World
If India has become the diabetic capital of the world, perhaps it must also become the birthplace of a new metabolic paradigm.
The solution to diabetes may not lie only in stricter drug regimens or tighter numerical targets.
It may lie in understanding how each individual’s metabolic engine actually works.
Just as engineers design different engines for race cars, trucks, and passenger vehicles, medicine must learn to design different metabolic strategies for different physiological systems.
If three engines burn fuel differently, we would never blame the fuel alone.
Yet in diabetes, we often blame only sugar.
Perhaps the real question is not how much glucose enters the bloodstream.
The real question may be:
How does each body’s metabolic engine handle that fuel?
And answering that question may finally help India — and the world — move beyond the diabetes epidemic of the modern age.
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