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Why Two Identical Meals Can Produce Different Responses

Two identical plates of chicken, quinoa, broccoli, avocado, tomato and cucumber, side by side

Nutrition advice often sounds as though the same food should affect everyone in the same way. Human physiology is more complex. In recent years, research in personalized nutrition has revealed just how differently people can respond to the same meal—and how many factors shape those differences.

What determines our response to food? How much do genes, metabolic health, the microbiome, sleep, and day-to-day context matter? And do individual differences mean that everyone needs an entirely different diet?

This article examines what we know today—and where science still draws the line between promising personalization and conclusions for which the evidence remains insufficient.

The Same Food, Different Responses

Two people eat the same serving of pasta. The amount, ingredients, and nutritional composition are identical. Yet their blood glucose levels may change differently after the meal.

This is not an exception. Controlled studies show substantial inter-individual variability in postprandial responses—the changes in glucose, insulin, and triglycerides after eating.

The idea is simple, even if the biology is not: food is only one side of the equation.

After a meal, the body must digest the food, absorb its nutrients, and coordinate the responses of the gut, pancreas, liver, muscles, and adipose tissue. Numerous factors are involved in this process—from insulin sensitivity and metabolic health to physical activity, the previous meal, and the composition of the gut microbiome.

In PREDICT 1, more than 1,000 participants consumed standardized meals. Despite eating the same food, researchers observed substantial differences between individuals in glucose, insulin, and triglyceride responses.

Even identical twins do not necessarily respond identically.

This is an important detail: genetics contributes to the picture, but does not determine it on its own.

What Drives These Differences?

In 2025, a study published in Nature Medicine again demonstrated substantial inter-individual variability in glycemic responses to standardized carbohydrate-containing foods.

The researchers did not stop at observing that one person had a larger glucose response than another. They examined the physiology underlying those differences.

Different response patterns were associated with characteristics such as insulin sensitivity, pancreatic beta-cell function, and other metabolic and molecular features.

Other factors may also contribute, including physical activity, previous meals, the microbiome, and genetic differences. This does not mean that each factor matters equally, or that we can already reliably predict an individual's response to every food.

It means that food meets biology in context.

Personalized Nutrition Is Not “Your Secret DNA Diet”

These individual differences are precisely what make personalized nutrition such a compelling area of research. But they also create fertile ground for exaggerated claims.

If two people respond differently to the same food, it is easy to conclude that everyone has their own “perfect diet,” which simply needs to be discovered through a genetic test, a continuous glucose monitor, or microbiome analysis.

Current evidence does not justify such a definitive conclusion.

Genetic factors contribute to individual variability, but a single genetic variant is generally not enough to determine what should be on a particular person's plate.

The same applies to individual glucose readings.

Studies of repeated responses to identical meals show that variability occurs not only between individuals, but also within the same individual. The same meal, consumed at different times, does not always produce an identical glucose response.

An unusual spike after a single serving of rice is therefore not enough to conclude that rice is “bad for you.”

Biology varies. So do measurements.

Individual Differences Do Not Override the Fundamentals

This does not mean that personalized nutrition is an empty promise.

A randomized controlled trial published in Nature Medicine in 2024 found improvements in some cardiometabolic outcomes with a personalized nutrition program compared with standard dietary advice. Not all outcomes assessed, however, showed improvement. The study was sponsored by ZOE—the company that developed the program—and a substantial proportion of the authors declared ties to the company. The interventions were not matched for contact or intensity, so the trial evaluates the comparative effect of the intervention package as a whole rather than isolating the effect of biological personalization alone.

The more recent synthesis is more restrained still. A 2026 meta-analysis of 15 randomized controlled trials in adults with overweight or obesity found small advantages of personalized interventions for body weight and body fat, but no additional benefits for BMI, waist circumference, lipid profile, or glycemic outcomes. The authors rated the certainty of the evidence from moderate to very low and highlighted substantial differences among the approaches used.

Personalized nutrition therefore remains a promising scientific direction, but not a mature technology that can already reliably calculate an optimal menu for every individual.

The fact that people differ does not invalidate the general principles of healthy eating. Instead, personalization may gradually add precision to an already established scientific foundation.

And this is where one of the important boundaries between science and marketing lies.

Personalization does not mean:

“Everyone is different, so there are no general principles.”

Nor does it mean:

“We identified one of your genes, so we know how you should eat.”

A more scientifically defensible position is more measured: we have a shared scientific foundation, and certain individual characteristics may add greater precision when sufficiently reliable evidence supports doing so.

One Plate, Different Bodies

Two identical plates of food do not meet two identical bodies.

Behind the response to a meal lie physiology, metabolic health, activity, previous meals, the microbiome, genetic factors, and many other interactions. Even the same body is not exactly the same from one day to the next.

This makes personalized nutrition one of the most fascinating areas of contemporary nutrition science—but also one in which we must carefully distinguish measurable individual variation from promises that science cannot yet fulfill.

So the more useful question is not:

“What is the perfect food for me?”

But:

“Which individual differences are sufficiently reliable, reproducible, and meaningful to change the way we make dietary recommendations?”

That is where the real science of personalized nutrition begins.

References

  • Berry SE, Valdes AM, Drew DA, et al. Human postprandial responses to food and potential for precision nutrition. Nature Medicine. 2020;26:964–973.
  • Asnicar F, Berry SE, Valdes AM, et al. Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals. Nature Medicine. 2021;27:321–332.
  • Bermingham KM, Linenberg I, Polidori L, et al. Effects of a personalized nutrition program on cardiometabolic health: a randomized controlled trial. Nature Medicine. 2024;30:1888–1897.
  • Hengist A, Ong JA, McNeel K, et al. Imprecision nutrition? Intraindividual variability of glucose responses to duplicate presented meals in adults without diabetes. The American Journal of Clinical Nutrition. 2025;121:74–82.
  • Wu Y, Ehlert B, Metwally AA, et al. Individual variations in glycemic responses to carbohydrates and underlying metabolic physiology. Nature Medicine. 2025;31:2232–2243.
  • Guasch-Ferré M, et al. Precision nutrition for cardiometabolic diseases. Nature Medicine. 2025;31:1444–1453.
  • Duc TQ, Di Khanh N, Khoa DD, et al. Effects of personalized nutrition on cardiometabolic biomarkers in adults with overweight or obesity: a systematic review and meta-analysis of randomized controlled trials. Nutrition & Metabolism. 2026;23:70.