Have you ever wondered why a diet that works perfectly for your friend doesn't work for you? Or why some people can eat certain foods without any issues while others can't? The answer lies in what scientists are calling "Nutrition 2.0" – a revolutionary approach to personalized nutrition that's based on your unique biology.1
The problem with one-size-fits-all diets
Think about the last time you searched for nutritional advice. You probably found conflicting information about whether certain foods are "good" or "bad" for you. For example:
Some studies say drinking fruit juice daily increases cancer risk, while others claim it's healthy2
Dairy products have been linked to both higher and lower rates of certain diseases3
Red meat is praised as an essential source of nutrients by some researchers, while others warn about its risks4
Even something as basic as saturated fats remains controversial in medical research5
Why all this confusion? Because traditional nutrition advice (let's call it Nutrition 1.0) treats everyone the same and is inadequate to address your biology and your specific health concerns, for many reasons. For one, it's based on averages from population studies and doesn't account for your individual biology, current health status, or your personal goals.
You are unique and your diet should be too
The idea that each person needs different nutrition isn't new – it dates back to 1956 when Dr. Roger Williams introduced the concept of "biochemical individuality." While humans share 99.9% of their DNA, that tiny 0.1% difference makes each of us unique in how we process food and nutrients. Think about it: if that small difference in DNA can distinguish us from chimpanzees (with whom we share 99% of our genes), imagine how it affects our individual nutritional needs!6
Our uniqueness comes from a combination of our genetics, our gut microbiome (the trillions of tiny organisms living in our digestive system), our lifestyle, and our environment. It's like each person has their own biological "fingerprint" that determines how they process different foods and nutrients.7 This understanding of biochemical individuality is what's driving the revolution in personalized nutrition today.
Enter Nutrition 2.0: A truly personalized nutrition plan
Nutrition 2.0 is different, it is a new approach to nutritional science. Instead of generic advice like "eat more fiber" or "cut down on sugar," it uses advanced technology to analyze your unique biology and create personalized recommendations.8 Specifically it uses your molecular data (chemistry) and advanced algorithms (math) to compute the optimal nutrition for you individually.9 10
The goal of Nutrition 2.0 is to understand the specific molecular processes in your biology, so that your nutrition can be computed to maintain healthy functions in your entire body. Our AI-generated nutritional recommendations are highly personalized and custom-crafted for your biology. This is radically different from one-size-fits-all diets like ketogenic or paleo.
Here's how it works:
The main features of Nutrition 2.0 platform are:
It is 100% data-driven and objective (chemistry + math). Advanced AI algorithms analyze your biological data to create recommendations specifically for you. There are no humans involved (and thus no human bias) in the process from the moment samples enter the lab until the results and recommendations are delivered to the user.
It is highly personalized (It starts with your biology). By analyzing samples from your body (stool, blood, and saliva), scientists can see exactly how your body and gut microbiome process different foods. This means that there are as many diets as there are users. There are no fad diets, and it prioritizes customized over generic recommendations (such as “eat more fiber” or “decrease sugar intake”).
It is continuously learning and improving. As more people use the system and more data is collected, the recommendations become even more accurate. The platform data continues to improve algorithms, which in turn means that its accuracy is getting better every day.
Its goal is to help you live a long and healthy life. As a proactive approach, ideally, a personalized nutrition approach will support longevity and promote healthy aging.
Your microbiome plays an essential role in how your body absorbs nutrients
Recent scientific research has revealed something surprising: when it comes to how food affects your health, your microbiome (the trillions of microorganisms living in your digestive system) plays a bigger role than your genes. A large study shows that even identical twins can respond differently to the same foods, proving that genetics alone doesn't determine how food affects us.11
Your microbiome:
Influences how you digest food
Converts food components into beneficial or harmful substances
Affects your immune system
Impacts your metabolism
Even influences your mood and brain function
Does personalized nutrition actually work?
Scientific studies have shown promising results for this personalized approach:
Digestive Health: People with digestive issues saw 40-50% improvement in their health after following personalized nutrition recommendations for about 7 months.12
Mental Health: Studies showed significant improvements in mood and wellbeing.13
One study showed nearly 17% improvement in feelings of anxiousness
Another study demonstrated a 23% improvement in feelings of sadness
People who followed the personalized recommendations showed much better results than those who didn't
The future of nutrition is personalized
Nutrition 2.0 represents a fundamental shift in how we think about food. Instead of asking "Is this food healthy?" we can now ask "Is this food healthy for ME?" This approach:
Treats each food as a collection of nutrients that interact with your unique biology
Uses advanced technology to understand how YOUR body processes different foods
Creates truly personalized recommendations based on scientific data
Continues to improve as more research is conducted and more data is collected
This isn't just another diet trend – it's a scientifically validated approach to nutrition that recognizes and respects your biological uniqueness. As research continues and technology advances, Viome’s personalized approach to nutrition will become the new standard for maintaining health and preventing disease.
References
1. J. Connell, R. Toma, C. Ho, N. Shen, P. Moura, Y. Cai, D. Tanton, G. Banavar, and M. Vuyisich, Biorxiv 2021.04.24.441290 (2021).
2. C. Julian, N. Shen, M. Molusky, L. Hu, V. Gopu, A. Gorakshakar, E. Patridge, G. Antoine, J. Connell, H. Keiser, U. Naidoo, M. Vuyisich, and G. Banavar, MedRxiv 2023.04.18.23288750 (2023).
3. E. Chazelas, B. Srour, E. Desmetz, E. Kesse-Guyot, C. Julia, V. Deschamps, N. Druesne-Pecollo, P. Galan, S. Hercberg, P. Latino-Martel, M. Deschasaux, and M. Touvier, Bmj 366, l2408 (2019).
4. T. A. Khan, L. Chiavaroli, A. Zurbau, and J. L. Sievenpiper, Eur J Clin Nutr 73, 1556 (2019).
5. R. Clemens, A. Drewnowski, M. G. Ferruzzi, C. D. Toner, and D. Welland, Adv Nutrition Int Rev J 6, 236S (2015).
6. G. E. Fraser, K. Jaceldo-Siegl, M. Orlich, A. Mashchak, R. Sirirat, and S. Knutsen, Int J Epidemiol 49, 1526 (2020).
7. M. Dehghan, A. Mente, S. Rangarajan, P. Sheridan, V. Mohan, R. Iqbal, R. Gupta, S. Lear, E. Wentzel-Viljoen, A. Avezum, P. Lopez-Jaramillo, P. Mony, R. P. Varma, R. Kumar, J. Chifamba, K. F. Alhabib, N. Mohammadifard, A. Oguz, F. Lanas, D. Rozanska, K. B. Bostrom, K. Yusoff, L. P. Tsolkile, A. Dans, A. Yusufali, A. Orlandini, P. Poirier, R. Khatib, B. Hu, L. Wei, L. Yin, A. Deeraili, K. Yeates, R. Yusuf, N. Ismail, D. Mozaffarian, K. Teo, S. S. Anand, and S. Yusuf, Lancet 392, 2288 (2018).
8. B. C. Melnik, Nestlé Nutrition Inst Work Ser 67, 131 (2011).
9. D. J. Ströher, M. F. de Oliveira, P. Martinez-Oliveira, B. C. Pilar, M. D. P. Cattelan, E. Rodrigues, K. Bertolin, P. B. D. Gonçalves, J. da C. E. Piccoli, and V. Manfredini, J Med Food 23, 689 (2020).
10. T. Tholstrup, C. Ehnholm, M. Jauhiainen, M. Petersen, C.-E. Høy, P. Lund, and B. Sandström, Am J Clin Nutrition 79, 564 (2004).
11. A. Astrup, F. Magkos, D. M. Bier, J. T. Brenna, M. C. de O. Otto, J. O. Hill, J. C. King, A. Mente, J. M. Ordovas, J. S. Volek, S. Yusuf, and R. M. Krauss, J. Am. Coll. Cardiol. 76, 844 (2020).
12. L. E. O’Connor, D. Paddon-Jones, A. J. Wright, and W. W. Campbell, Am J Clin Nutrition 108, 33 (2018).
13. Z. Wang, N. Bergeron, B. S. Levison, X. S. Li, S. Chiu, X. Jia, R. A. Koeth, L. Li, Y. Wu, W. H. W. Tang, R. M. Krauss, and S. L. Hazen, Eur Heart J 40, 583 (2018).
S. M. Rappaport, Plos One 11, e0154387 (2016).
R. Border, E. C. Johnson, L. M. Evans, A. Smolen, N. Berley, P. F. Sullivan, and M. C. Keller, Am J Psychiat 176, 376 (2019).
S. E. Berry, A. M. Valdes, D. A. Drew, F. Asnicar, M. Mazidi, J. Wolf, J. Capdevila, G. Hadjigeorgiou, R. Davies, H. A. Khatib, C. Bonnett, S. Ganesh, E. Bakker, D. Hart, M. Mangino, J. Merino, I. Linenberg, P. Wyatt, J. M. Ordovas, C. D. Gardner, L. M. Delahanty, A. T. Chan, N. Segata, P. W. Franks, and T. D. Spector, Nat Med 26, 964 (2020).
R. Toma, B. Pelle, N. Duval, M. M. Parks, V. Gopu, H. Tily, A. Hatch, A. Perlina, G. Banavar, and M. Vuyisich, Biorxiv 2020.05.22.110080 (2020).
R. Toma, Y. Cai, O. Ogundijo, L. Hu, S. Gline, D. Demusaj, N. Duval, P. Torres, F. Camacho, G. Banavar, and M. Vuyisich, Biotechniques 74, 31 (2023).
A. Hatch, J. Horne, R. Toma, B. L. Twibell, K. M. Somerville, B. Pelle, K. P. Canfield, M. Genkin, G. Banavar, A. Perlina, H. Messier, N. Klitgord, and M. Vuyisich, Int J Genomics 2019, 1718741 (2019).
H. Tily, A. Perlina, E. Patridge, S. Gline, M. Genkin, V. Gopu, H. Lindau, A. Sjue, I. Slavov, N. Klitgord, M. Vuyisich, H. Messier, and G. Banavar, Biorxiv 641019 (2020).
O. S. Palsson, W. Whitehead, H. Törnblom, A. D. Sperber, and M. Simren, Gastroenterology 158, 1262 (2020).
B. E. Lacy and N. K. Patel, J. Clin. Med. 6, 99 (2017).
R. L. Spitzer, K. Kroenke, J. B. W. Williams, and B. Löwe, Arch Intern Med 166, 1092 (2006).
K. Kroenke, R. L. Spitzer, and J. B. W. Williams, J Gen Intern Med 16, 606 (2001).
U. P. S. T. Force, K. W. Davidson, M. J. Barry, C. M. Mangione, M. Cabana, A. B. Caughey, E. M. Davis, K. E. Donahue, C. A. Doubeni, A. H. Krist, M. Kubik, L. Li, G. Ogedegbe, D. K. Owens, L. Pbert, M. Silverstein, J. Stevermer, C.-W. Tseng, and J. B. Wong, JAMA 326, 736 (2021).