Personalized and precision medicine as a health-care model of the next step generation through translational applications of individualized nutrition- and food design-driven resources

Abstract

In the modern era, health is a key element in shaping the trajectory of human civilization. The personalized and precision medicine model is a preventive strategy capable of operating across a wide range of technological applications, from biomarker-driven genomic profiling to determine the characteristics of an individual’s genomic landscape, to combinatorial assessments of the individual’s interaction with the microenvironment for constructing the individual phenotype. Omics technologies demonstrate their multidisciplinary potential in pre-clinical screening, predictive and prognostic diagnosis, multidimensional monitoring, and targeted therapy, through the prism of preventive and curative rehabilitation strategies concerning a particular individual, as well as the principles and resources of genomic biostatistics and molecular epidemiology at the population and national levels. Therefore, this article aims to highlight the omics approach to nutritional assessment and dietary recommendations from the individual to the population level.

Keywords

Omics technology / Genetics / Proteomic / Metabolomic / Biomarkers / Interactomics

Funding

None.

Conflict of interest

The authors declare they have no competing interests.

References

[1] Wischmeyer PE, Bear DE, Berger MM, et al. Personalized nutrition therapy in critical care: 10 expert recommendations. Crit Care. 2023; 27(1):261. doi: 10.1186/s13054-023-04539-x

[2] Marcum JA. Nutrigenetics/nutrigenomics, personalized nutrition, and precision healthcare. Curr Nutr Rep. 2020; 9(4):338-345. doi: 10.1007/s13668-020-00327-z

[3] Zeisel SH. Precision (personalized) nutrition: Understanding metabolic heterogeneity. Annu Rev Food Sci Technol. 2020; 11:71-92. doi: 10.1146/annurev-food-032519-051736

[4] Milani GP, Silano M, Mazzocchi A, Bettocchi S, De Cosmi V, Agostoni C. Personalized nutrition approach in pediatrics: A narrative review. Pediatr Res. 2021; 89(2):384-388. doi: 10.1038/s41390-020-01291-8

[5] Kirk D, Catal C, Tekinerdogan B. Precision nutrition: A systematic literature review. Comput Biol Med. 2021; 133:104365. doi: 10.1016/j.compbiomed.2021.104365

[6] Downer S, Berkowitz SA, Harlan TS, Olstad DL, Mozaffarian D. Food is medicine: Actions to integrate food and nutrition into healthcare. BMJ. 2020; 369:m2482. doi: 10.1136/bmj.m2482

[7] Putignani L, Dallapiccola B. Foodomics as part of the host-microbiota-exposome interplay. J Proteomics. 2016; 147:3-20. doi: 10.1016/j.jprot.2016.04.033

[8] Braconi D, Bernardini G, Millucci L, Santucci A. Foodomics for human health: Current status and perspectives. Expert Rev Proteomics. 2018; 15(2):153-164. doi: 10.1080/14789450.2018.1421072

[9] Liu F, Li M, Wang Q, et al. Future foods: Alternative proteins, food architecture, sustainable packaging, and precision nutrition. Crit Rev Food Sci Nutr. 2023; 63(23):6423-6444. doi: 10.1080/10408398.2022.2033683

[10] Lagoumintzis G, Patrinos GP. Triangulating nutrigenomics, metabolomics and microbiomics toward personalized nutrition and healthy living. Hum Genomics. 2023; 17(1):109. doi: 10.1186/s40246-023-00561-w

[11] Muguruma Y, Nunome M, Inoue K. A review on the foodomics based on liquid chromatography mass spectrometry. Chem Pharm Bull (Tokyo). 2022; 70(1):12-18. doi: 10.1248/cpb.c21-00765

[12] Shi J, Liu Y, Xu YJ. MS based foodomics: An edge tool integrated metabolomics and proteomics for food science. Food Chem. 2024; 446:138852. doi: 10.1016/j.foodchem.2024.138852

[13] Alyass A, Turcotte M, Meyre D. From big data analysis to personalized medicine for all: Challenges and opportunities. BMC Med Genomics. 2015; 8:33. doi: 10.1186/s12920-015-0108-y

[14] Wild CP. Complementing the genome with an “exposome”: The outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomarkers Prev. 2005; 14(8):1847-1850. doi: 10.1158/1055-9965.EPI-05-0456

[15] Strianese O, Rizzo F, Ciccarelli M, et al. Precision and personalized medicine: How genomic approach improves the management of cardiovascular and neurodegenerative disease. Genes (Basel). 2020; 11(7):747. doi: 10.3390/genes11070747

[16] Akhoundova D, Rubin MA. Clinical application of advanced multi-omics tumor profiling: Shaping precision oncology of the future. Cancer Cell. 2022; 40(9):920-938. doi: 10.1016/j.ccell.2022.08.011

[17] Nalbantoglu S, Karadag A. Introductory Chapter: Insight into the OMICS Technologies and Molecular Medicine. Molecular Medicine. London: IntechOpen; 2019. Available from: https://www.intechopen.com/chapters/67272 [Last accessed on 2025 Feb 11].

[18] Olsen C. 2023. Available from: https://www.dotmatics.com/blog/integrated-multi-omic-data-powering-precision-medicine [Last accessed on 2025 Mar 11].

[19] Sadee W, Wang D, Hartmann K, Toland AE. Pharmacogenomics: Driving personalized medicine. Pharmacol Rev. 2023; 75(4):789-814. doi: 10.1124/pharmrev.122.000810

[20] Singh S, Sarma DK, Verma V, Nagpal R, Kumar M. Unveiling the future of metabolic medicine: Omics technologies driving personalized solutions for precision treatment of metabolic disorders. Biochem Biophys Res Commun. 2023; 682:1-20. doi: 10.1016/j.bbrc.2023.09.064

[21] Mullins VA, Bresette W, Johnstone L, Hallmark B, Chilton FH. Genomics in personalized nutrition: Can you “eat for your genes”? Nutrients. 2020; 12(10):3118. doi: 10.3390/nu12103118

[22] Hasanzad M, Sarhangi N, Ehsani Chimeh S, et al. Precision medicine journey through omics approach. J Diabetes Metab Disord. 2021; 21(1):881-888. doi: 10.1007/s40200-021-00913-0

[23] Banerjee S, Prabhu Basrur N, Rai PS. Omics technologies in personalized combination therapy for cardiovascular diseases: Challenges and opportunities. Per Med. 2021; 18(6):595-611. doi: 10.2217/pme-2021-0087

[24] Shi F, Chowdhury R, Sofianopoulou E, et al. Association of circulating fatty acids with cardiovascular disease risk: Analysis of individual-level data in three large prospective cohorts and updated meta-analysis. Eur J Prev Cardiol. 2025; 32(3):233-246. doi: 10.1093/eurjpc/zwae315

[25] Chaplin A, Nafría M, Prohens L, et al. Development and validation of a short screener to evaluate adherence to the World Cancer Research Fund/American Institute for Cancer Research Cancer Prevention Recommendations. Clin Nutr. 2025; 47:275-281. doi: 10.1016/j.clnu.2025.02.033

[26] Singh V. Current challenges and future implications of exploiting the omics data into nutrigenetics and nutrigenomics for personalized diagnosis and nutrition-based care. Nutrition. 2023; 110:112002. doi: 10.1016/j.nut.2023.112002

[27] Berciano S, Figueiredo J, Brisbois TD, et al. Precision nutrition: Maintaining scientific integrity while realizing market potential. Front Nutr. 2022; 9:979665. doi: 10.3389/fnut.2022.979665

[28] Bardanzellu F, Fanos V. How could metabolomics change pediatric health? Ital J Pediatr. 2020; 46(1):37. doi: 10.1186/s13052-020-0807-7

[29] Vesnina A, Prosekov A, Kozlova O, Atuchin V. Genes and eating preferences, their roles in personalized nutrition. Genes (Basel). 2020; 11(4):357. doi: 10.3390/genes11040357

[30] Moore JB. From personalised nutrition to precision medicine: The rise of consumer genomics and digital health. Proc Nutr Soc. 2020; 79(3):300-310. doi: 10.1017/S0029665120006977

[31] Picó C, Serra F, Rodríguez AM, Keijer J, Palou A. Biomarkers of nutrition and health: New tools for new approaches. Nutrients. 2019; 11(5):1092. doi: 10.3390/nu11051092

[32] Linseisen J, Renner B, Gedrich K, et al. Data in personalized nutrition: Bridging biomedical, psycho-behavioral, and food environment approaches for population-wide impact. Adv Nutr. 2025; 16(7):100377. doi: 10.1016/j.advnut.2025.100377

[33] Burdge GC, Hoile SP, Lillycrop KA. Epigenetics: Are there implications for personalised nutrition? Curr Opin Clin Nutr Metab Care. 2012; 15(5):442-447. doi: 10.1097/MCO.0b013e3283567dd2

[34] Moore JB, Weeks ME. Proteomics and systems biology: Current and future applications in the nutritional sciences. Adv Nutr. 2011; 2(4):355-364. doi: 10.3945/an.111.000554

[35] Álvarez M, Andrade MJ, Núñez F, Rodríguez M, Delgado J. Proteomics as a new-generation tool for studying moulds related to food safety and quality. Int J Mol Sci. 2023; 24(5):4709. doi: 10.3390/ijms24054709

[36] Verrills NM. Clinical proteomics: Present and future prospects. Clin Biochem Rev. 2006; 27(2):99-116.

[37] You J, Guo Y, Zhang Y, et al. Plasma proteomic profiles predict individual future health risk. Nat Commun. 2023; 14(1):7817. doi: 10.1038/s41467-023-43575-7

[38] Sonbol HS. Nutritional proteomics: A key to unlocking optimal human health. Arch Pharm Pract. 2024; 15(1):68-83. doi: 10.51847/nko14dBXgB

[39] Keijer J, Escoté X, Galmés S, et al. Omics biomarkers and an approach for their practical implementation to delineate health status for personalized nutrition strategies. Crit Rev Food Sci Nutr. 2024; 64(23): 8279-8307. doi: 10.1080/10408398.2023.2198605

[40] Kussmann M. Nutriproteomics - linking proteomics variation with personalized nutrition. Curr Pharmacogenomics Person Med. 2010; 8:245-256. doi: 10.2174/187569210793368177

[41] Ganesh V, Hettiarachchy NS. Nutriproteomics: A promising tool to link diet and diseases in nutritional research. Biochim Biophys Acta. 2012; 1824(10):1107-1117. doi: 10.1016/j.bbapap.2012.06.006

[42] Fuchs D, Winkelmann I, Johnson IT, Mariman E, Wenzel U, Daniel H. Proteomics in nutrition research: Principles, technologies and applications. Br J Nutr. 2005; 94(3):302-314. doi: 10.1079/bjn20051458

[43] Afzaal M, Saeed F, Hussain M, Shahid F, Siddeeg A, Al-Farga A. Proteomics as a promising biomarker in food authentication, quality and safety: A review. Food Sci Nutr. 2022; 10(7):2333-2346. doi: 10.1002/fsn3.2842

[44] Schweigert FJ. Nutritional proteomics: Methods and concepts for research in nutritional science. Ann Nutr Metab. 2007; 51(2):99-107. doi: 10.1159/000102101

[45] de Roos B, McArdle HJ. Proteomics as a tool for the modelling of biological processes and biomarker development in nutrition research. Br J Nutr. 2008; 99 Suppl 3:S66-S71. doi: 10.1017/S0007114508006909

[46] Desiere F. Towards a systems biology understanding of human health: Interplay between genotype, environment and nutrition. Biotechnol Annu Rev. 2004; 10:51-84. doi: 10.1016/S1387-2656(04)10003-3

[47] Kussmann M, Panchaud A, Affolter M. Proteomics in nutrition: Status quo and outlook for biomarkers and bioactives. J Proteome Res. 2010; 9(10):4876-4887. doi: 10.1021/pr1004339

[48] Aslam B, Basit M, Nisar MA, Khurshid M, Rasool MH. Proteomics: Technologies and their applications. J Chromatogr Sci. 2017; 55(2):182-196. doi: 10.1093/chromsci/bmw167.

[49] Davis CD, Milner J. Frontiers in nutrigenomics, proteomics, metabolomics and cancer prevention. Mutat Res. 2004; 551(1-2):51-64. doi: 10.1016/j.mrfmmm.2004.01.012

[50] Escobedo-Monge MF, Parodi-Román J, Escobedo- Monge MA, Marugán-Miguelsanz JM. The biological value of proteins for pediatric growth and development: A narrative review. Nutrients. 2025; 17(13):2221. doi: 10.3390/nu17132221

[51] Arsenault BJ, Després JP, Vohl MC. Precision nutrition: A review of personalized nutritional approaches for the prevention and management of metabolic syndrome. Nutrients. 2017; 9(8):913. doi: 10.3390/nu9080913

[52] Lodge JK. Symposium 2: Modern approaches to nutritional research challenges: Targeted and non-targeted approaches for metabolite profiling in nutritional research. Proc Nutr Soc. 2010; 69(1):95-102. doi: 10.1017/S0029665109991704

[53] Gibney MJ, Walsh M, Brennan L, Roche HM, German B, van Ommen B. Metabolomics in human nutrition: Opportunities and challenges. Am J Clin Nutr. 2005; 82(3):497-503. doi: 10.1093/ajcn.82.3.497

[54] Rafiq T, Azab SM, Teo KK, et al. Nutritional metabolomics and the classification of dietary biomarker candidates: A critical review. Adv Nutr. 2021; 12(6):2333-2357. doi: 10.1093/advances/nmab054

[55] Ryan EP, Heuberger AL, Broeckling CD, Borresen EC, Tillotson C, Prenni JE. Advances in nutritional metabolomics. Curr Metabolomics. 2013; 1(2):109-120. doi: 10.2174/2213235x11301020001

[56] O’Gorman A, Brennan L. Metabolomic applications in nutritional research: A perspective. J Sci Food Agric. 2015; 95(13):2567-2570. doi: 10.1002/jsfa.7070

[57] LeVatte M, Keshteli AH, Zarei P, Wishart DS. Applications of metabolomics to precision nutrition. Lifestyle Genom. 2022; 15(1):109-120. doi: 10.1159/000518489

[58] Heinken A, El Kouche S, Guéant-Rodriguez RM, Guéant JL. Towards personalized genome-scale modeling of inborn errors of metabolism for systems medicine applications. Metabolism. 2024; 150:155738. doi: 10.1016/j.metabol.2023.155738

[59] Ulaszewska MM, Weinert CH, Trimigno A, et al. Nutrimetabolomics: An integrative action for metabolomic analyses in human nutritional studies. Mol Nutr Food Res. 2019; 63(1):e1800384. doi: 10.1002/mnfr.201800384

[60] Young-Shick H. Nutritional metabolomics. J Korean Soc Food Sci Nutr. 2014; 43(2):179-186. doi: 10.3746/jkfn.2014.43.2.179

[61] Andraos S, Wake M, Saffery R, Burgner D, Kussmann M, O’Sullivan J. Perspective: Advancing understanding of population nutrient-health relations via metabolomics and precision phenotypes. Adv Nutr. 2019; 10(6):944-952. doi: 10.1093/advances/nmz045

[62] Gibbons H, Brennan L. Metabolomics as a tool in the identification of dietary biomarkers. Proc Nutr Soc. 2017; 76(1):42-53. doi: 10.1017/S002966511600032X

[63] Christopher KB. Nutritional metabolomics in critical illness. Curr Opin Clin Nutr Metab Care. 2018; 21(2):121-125. doi: 10.1097/MCO.0000000000000451

[64] Valdes AM, Walter J, Segal E, Spector TD. Role of the gut microbiota in nutrition and health. BMJ. 2018; 361:k2179. doi: 10.1136/bmj.k2179

[65] Chatterjee G, Negi S, Basu S, Faintuch J, O’Donovan A, Shukla P. Microbiome systems biology advancements for natural well-being. Sci Total Environ. 2022; 838(Pt 2):155915. doi: 10.1016/j.scitotenv.2022.155915

[66] Kang JX. Gut microbiota and personalized nutrition. J Nutrigenet Nutrigenomics. 2013; 6(2):I-II. doi: 10.1159/000353144

[67] Lynch SV, Pedersen O. The human intestinal microbiome in health and disease. N Engl J Med. 2016; 375(24):2369-2379. doi: 10.1056/NEJMra1600266

[68] Schmidt TSB, Raes J, Bork P. The human gut microbiome: From association to modulation. Cell. 2018; 172(6):1198-1215. doi: 10.1016/j.cell.2018.02.044

[69] Byndloss MX, Bäumler AJ. The germ-organ theory of non-communicable diseases. Nat Rev Microbiol. 2018; 16(2):103-110. doi: 10.1038/nrmicro.2017.158

[70] den Besten G, van Eunen K, Groen AK, Venema K, Reijngoud DJ, Bakker BM. The role of short-chain fatty acids in the interplay between diet, gut microbiota, and host energy metabolism. J Lipid Res. 2013; 54(9):2325-2340. doi: 10.1194/jlr.R036012

[71] Velázquez OC, Lederer HM, Rombeau JL. Butyrate and the colonocyte. Production, absorption, metabolism, and therapeutic implications. Adv Exp Med Biol. 1997; 427:123-134.

[72] Ley RE, Turnbaugh PJ, Klein S, Gordon JI. Microbial ecology: Human gut microbes associated with obesity. Nature. 2006; 444(7122):1022-1023. doi: 10.1038/4441022a

[73] Walker AW, Ince J, Duncan SH, et al. Dominant and diet-responsive groups of bacteria within the human colonic microbiota. ISME J. 2011; 5(2):220-230. doi: 10.1038/ismej.2010.118

[74] Thaiss CA, Itav S, Rothschild D, et al. Persistent microbiome alterations modulate the rate of post-dieting weight regain. Nature. 2016; 540(7634):544-551. doi: 10.1038/nature20796

[75] Zeevi D, Korem T, Zmora N, et al. Personalized nutrition by prediction of glycemic responses. Cell. 2015; 163(5):1079-1094. doi: 10.1016/j.cell.2015.11.001

[76] Nicholson JK, Holmes E, Kinross J, et al. Host-gut microbiota metabolic interactions. Science. 2012; 336(6086):1262-1267. doi: 10.1126/science.1223813

[77] Voigt RM, Forsyth CB, Green SJ, et al. Circadian disorganization alters intestinal microbiota. PLoS One. 2014; 9(5):e97500. doi: 10.1371/journal.pone.0097500

[78] Tebani A, Bekri S. Paving the way to precision nutrition through metabolomics. Front Nutr. 2019; 6:41. doi: 10.3389/fnut.2019.00041

[79] Cortese-Krott MM, Koning A, Kuhnle GGC, et al. The reactive species interactome: Evolutionary emergence, biological significance, and opportunities for redox metabolomics and personalized medicine. Antioxid Redox Signal. 2017; 27(10):684-712. doi: 10.1089/ars.2017.7083

[80] Wells JM, Gao Y, de Groot N, Vonk MM, Ulfman L, van Neerven RJJ. Babies, bugs, and barriers: Dietary modulation of intestinal barrier function in early life. Annu Rev Nutr. 2022; 42:165-200. doi: 10.1146/annurev-nutr-122221-103916

[81] Infante T, Del Viscovo L, De Rimini ML, Padula S, Caso P, Napoli C. Network medicine: A clinical approach for precision medicine and personalized therapy in coronary heart disease. J Atheroscler Thromb. 2020; 27(4):279-302. doi: 10.5551/jat.52407

[82] Hill BG, Shiva S, Ballinger S, Zhang J, Darley-Usmar VM. Bioenergetics and translational metabolism: Implications for genetics, physiology and precision medicine. Biol Chem. 2019; 401(1):3-29. doi: 10.1515/hsz-2019-0268

[83] Silverman EK, Schmidt HHHW, Anastasiadou E, et al. Molecular networks in network medicine: Development and applications. Wiley Interdiscip Rev Syst Biol Med. 2020; 12(6):e1489. doi: 10.1002/wsbm.1489

[84] Xie L, Ge X, Tan H, et al. Towards structural systems pharmacology to study complex diseases and personalized medicine. PLoS Comput Biol. 2014; 10(5):e1003554. doi: 10.1371/journal.pcbi.1003554

[85] Sellami M, Bragazzi NL. Nutrigenomics and breast cancer: State-of-art, future perspectives and insights for prevention. Nutrients. 2020; 12(2):512. doi: 10.3390/nu12020512

[86] Chaudhary N, Kumar V, Sangwan P, et al. Personalized nutrition and -omics. Comprehensive Foodomics. 2021;495-507. doi: 10.1016/B978-0-08-100596-5.22880-1

[87] Goossens J. Personalised Nutrition - A New Business Potential for the Future? Agro Food Industry Hi Tech; 2013. p. 18-21. Available from: https://www.researchgate.net/publication/304930074 [Last accessed on 2024 Dec 12].

[88] Global Personalized Nutrition Market Size, Share, and Trends Analysis Report - Industry Overview and Forecast to 2032. Available from: https://www.databridgemarketresearch.com/reports/global-personalized-nutrition-market [Last accessed on 2025 Jan 15].

[89] Stewart-Knox B, Kuznesof S, Robinson J, et al. Factors influencing European consumer uptake of personalised nutrition. Results of a qualitative analysis. Appetite. 2013; 66:67-74. doi: 10.1016/j.appet.2013.03.001

[90] Dashti HS, Tucker C. Nutritionist guide to direct-to-consumer genetic tests and precision nutrition. Nutr Today. 2019; 54(5):188-194. doi: 10.1097/NT

[91] Loos RJF. From nutrigenomics to personalizing diets: Are we ready for precision medicine? Am J Clin Nutr. 2019; 109(1):1-2. doi: 10.1093/ajcn/nqy364

[92] Rozga M, Latulippe ME, Steiber A. Advancements in personalized nutrition technologies: Guiding principles for registered dietitian nutritionists. J Acad Nutr Diet. 2020; 120(6):1074-1085. doi: 10.1016/j.jand.2020.01.020

[93] Bader JM, Albrecht V, Mann M. MS-based proteomics of body fluids: The end of the beginning. Mol Cell Proteomics. 2023; 22(7):100577. doi: 10.1016/j.mcpro.2023.100577

[94] Bauermeister A, Mannochio-Russo H, Costa-Lotufo LV, Jarmusch AK, Dorrestein PC. Mass spectrometry-based metabolomics in microbiome investigations. Nat Rev Microbiol. 2022; 20(3):143-160. doi: 10.1038/s41579-021-00621-9

[95] Ordovas JM, Ferguson LR, Tai ES, Mathers JC. Personalised nutrition and health. BMJ. 2018; 361:bmj.k2173. doi: 10.1136/bmj.k2173

[96] Baysoy A, Bai Z, Satija R, Fan R. The technological landscape and applications of single-cell multi-omics. Nat Rev Mol Cell Biol. 2023; 24(10):695-713. doi: 10.1038/s41580-023-00615-w

[97] Drabsch T, Holzapfel C. A scientific perspective of personalised gene-based dietary recommendations for weight management. Nutrients. 2019; 11(3):617. doi: 10.3390/nu11030617

[98] Bayer S, Drabsch T, Schauberger G, Hauner H, Holzapfel C. Knowledge, opinions and expectations of adults concerning personalised genotype-based dietary recommendations: A German survey. Public Health Nutr. 2021; 24(7):1916-1926. doi: 10.1017/S1368980020004152

[99] Kiani AK, Bonetti G, Donato K, et al. Polymorphisms, diet and nutrigenomics. J Prev Med Hyg. 2022; 63(2 Suppl 3):E125-E141. doi: 10.15167/2421-4248/jpmh2022.63.2S3.2754

[100] Livingstone KM, Ramos-Lopez O, Pérusse L, Kato H, Ordovas JM, Martínez JA. Precision nutrition: A review of current approaches and future endeavors. Trends Food Sci Technol. 2022; 128:253-264. doi: 10.1016/j.tifs.2022.08.017

[101] Ilyin VK, Afonin BV, Komissarova DV, et al. Investigation of the effect of changes in gut microflora and preventive taking of probiotics on the functional state of the stomach during isolation study SIRIUS-18/19. J Aerospace Environ Med. 2021; 55(1):70-75. doi: 10.21687/0233-528X-2021-55-1-70-75