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Kişiye özel beslenmede gen-çevre etkileşimi, hastalık sonuçları ve etik uygulamalar arasındaki ilişki

Yıl 2025, Cilt: 3 Sayı: 1, 1 - 10

Öz

Sağlıklı beslenmenin hayati rolünün giderek daha fazla tanınması, genler ve beslenme kalıpları arasındaki karmaşık etkileşimin derinlemesine araştırılmasına yol açmıştır. İnsan genom haritasının keşfinin ardından, diyetin rolüne ilişkin geleneksel anlayış, sadece beslenme ve yeterli beslenmenin ötesine geçmiştir. Son yıllarda kişiselleştirilmiş beslenme, beslenme kalıplarının analizi, hastalığın belirleyicilerinin ve altta yatan nedenlerin tanımlanması, genetik faktörler ile kişinin mevcut sağlık durumu arasındaki karmaşık ilişkiler, yasal düzenlemeler ve mevzuat gibi çeşitli yönleri kapsayan dinamik ve çok boyutlu bir araştırma alanı olarak ortaya çıkmıştır. Genotip tabanlı yaklaşımlara dayanan kişiselleştirilmiş beslenme, kronik hastalıkları önlemeyi ve genel refahı iyileştirmeyi amaçlamaktadır. Bu yenilikçi alan, nutrigenetik ve nutrigenomic olmak üzere iki ana konuyu kapsamaktadır: Nutrigenomik, diyete fizyolojik tepkileri etkileyen genlerin ve kritik beslenme sonuçlarını etkileyen genetik varyasyonların veya polimorfizmlerin tanımlanmasını sağlarken, aynı zamanda çevresel faktörlerin gen ifadesi üzerindeki etkisine ışık tutar. Ayrıca, hücresel ve moleküler düzeyde gen ve diyet etkileşimlerini anlamayı ve bireyin genomuna özgü beslenme stratejileri oluşturmayı amaçlamaktadır. Genomik teknikler kullanılarak yapılan beslenme araştırmalarındaki yeni bulgular, beslenme konusunda çalışan araştırmacıların ve beslenme uzmanlarının daha fazla kişiselleştirilmiş önerilerde bulunmasına yardımcı olacaktır; bu nedenle, genom tabanlı bilgilerle desteklendiğinde diyet önerilerine uyumun artabileceği düşünülmektedir. Kişiselleştirilmiş beslenmenin sağlık sistemimize dahil edilmesi, hastalıkların başlamasını ve ilerlemesini önlememize yardımcı olabilir. Bu kapsamlı inceleme, kişiselleştirilmiş beslenmenin çok yönlü alanını araştırarak, gelecekteki çalışmaları yeniden şekillendirme ve kişiye özel beslenme planlarının geliştirilmesine rehberlik etme potansiyelini açıklamaktadır. Mevcut kapsamının ötesinde, kişiselleştirilmiş beslenme, sağlık ve esenliğe nasıl yaklaştığımız konusunda bir paradigma değişimine rehberlik etmeyi vaat ediyor ve onu sağlık hizmetleri ve yaşam tarzı seçimlerinin evriminde temel bir köşe taşı haline getiriyor. Gelişen bu durum daha derinlemesine incelendikçe, genler ve beslenme arasındaki sinerji, sağlık ve refah yaklaşımı arasında gelişmeler mümkün olacaktır.

Kaynakça

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  • Bahinipati, J., Sarangi, R., Mishra, S., & Mahapatra, S. (2021). Nutrigenetics and nutrigenomics: A brief review with future prospects. Biomedicine, 41(4), 714-719. https://doi.org/10.51248/.v41i4.445
  • Berciano, S., Figueiredo, J., Brisbois, T. D., Alford, S., Koecher, K., Eckhouse, S., ... & Ordovás, J. M. (2022). Precision nutrition: Maintaining scientific integrity while realizing market potential. Frontiers in Nutrition, 9. https://doi.org/10.3389/fnut.2022.979665
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  • Carter, P., Gray, L. J., Troughton, J., Khunti, K., & Davies, M. J. (2010). Fruit and vegetable intake and incidence of type 2 diabetes mellitus: Systematic review and meta-analysis. BMJ, 341, 1-8. https://doi.org/10.1136/bmj.c4229
  • Castle, D. (2007). The ethics of personalized nutrition. Agro Food Ind Hi-Tech, 18(2), 68-70.
  • Coşkun, T. (2007). Nütrisyonel genomik. Çocuk Sağlığı ve Hastalıkları Dergisi, 50, 47-66.
  • Cotton, C. M., & Murray, J. C. (2016). In: Avery’s Diseases of the Newborn (eds. CA Gleason & T Sawyer) 10th edn. pp. 180-189. Elsevier: New York.
  • Daiger, S. P., Bowne, S. J., & Sullivan, L. S. (2014). Genes and mutations causing autosomal dominant retinitis pigmentosa. Cold Spring Harbor Perspectives in Medicine, 5(10), a017129. https://doi.org/10.1101/cshperspect.a017129.
  • Duthie, S. J., Narayanan, S., Brand, G. M., Pirie, L., & Grant, G. (2022). Impact of Folate Deficiency on DNA Stability. Journal of Nutrition, 132(8), 2444-2449. https://doi.org/10.1093/jn/132.8.2444S
  • EIT Food. (2020). Personalised nutrition to help reduce the effect of diseases such as COVID-19 [Internet]. [cited 2020, Nov 11] Available at: https://www.eitfood.eu/news/post/personalised-nutrition-to-help-reduce-the-effect-of-diseases-such-as-covid-19-according-to-scientists-at-the-eit-food-innovation-forum
  • Emamian, E. S. (2012). AKT/GSK3 signaling pathway and schizophrenia. Frontiers in Molecular Neuroscience, 5(33), 33. https://doi.org/10.3389/fnmol.2012.00033.
  • Fenech, M., El-Sohemy, A., Cahill, L., Ferguson, L. R., French, T. A., Tai, E. S., ... & Christophe, M. L. (2011). Nutrigenetics and nutrigenomics: viewpoints on the current status and applications in nutrition research and practice. Journal of Nutrigenetics and Nutrigenomics, 4(2), 69-89. https://doi.org/10.1159/000327772
  • Ferguson, L. R., Caterina, R. D., Görman, U., Allayee, H., Kohlmeier, M., Prasad, C., ... & Willem, H. (2016). Guide and position of the International Society of Nutrigenetics/Nutrigenomics on personalized nutrition: part 1 - fields of precision nutrition. Journal of Nutrigenetics and Nutrigenomics, 9(1), 12-27. https://doi.org/10.1159/000445350.
  • Gaboon, N. E. A. (2011). Nutritional genomics and personalized diet. Egyptian Journal of Medical Human Genetics, 12(1), 1-7. https://doi.org/10.1016/j.ejmhg.2011.02.001
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The relationship between gene-environment interaction in personalized nutrition, disease outcomes and ethical implications

Yıl 2025, Cilt: 3 Sayı: 1, 1 - 10

Öz

The increasing recognition of the pivotal role of healthy nutrition has prompted a profound exploration into the intricate interplay between genes and dietary patterns. Following the discovery of the human genome map, the conventional understanding of diet's role expanded beyond mere sustenance and adequate nutrition. In recent years, personalized nutrition has emerged as a dynamic and multidimensional field of inquiry, encompassing various facets, including the analysis of dietary patterns, the identification of disease determinants and underlying causes, the intricate interrelationship between genetic factors and one's current health status, legislative considerations, and the promising landscape of innovations poised to revolutionize the field. Personalized nutrition, rooted in genotype-based approaches, seeks to prevent chronic diseases, and enhance overall wellness. This innovative field encompasses two main pillars: nutrigenetics and nutrigenomics. Nutrigenomics further enables the identification of genes influencing physiological responses to diet and the subtle genetic variations, or polymorphisms, that impact crucial nutritional outcomes, while also shedding light on the influence of environmental factors on gene expression. Moreover, it aims to understand gene and diet interactions at the cellular and molecular level and to create nutritional strategies specific to the individual's genome. New findings in nutrition research using genomic techniques will help nutrition researchers and nutritionists to make more personalized recommendations; therefore, it is thought that compliance with dietary recommendations may increase when supported by genomic-based information. The inclusion of personalized nutrition in our health system may help us prevent the onset and progression of diseases. This comprehensive review delves into the multifaceted realm of personalized nutrition, elucidating its potential to reshape future studies and guide the development of tailored nutrition plans. Beyond its current scope, personalized nutrition promises to guide in a paradigm shift in how we approach health and well-being, making it an essential cornerstone in the evolution of healthcare and lifestyle choices. As this evolving situation is explored in more depth, synergies between genes and nutrition will enable improvements in the approach to health and well-being.

Kaynakça

  • Abbasi, I. H. R., Abbasi, F., Wang, L., Abd El Hack, M. E., Swelum, A. A., Hao, R., ... & Salem, A. Z. M. (2018). Folate promotes S-adenosyl methionine reactions and the microbial methylation cycle and boosts ruminants’ production and reproduction. AMB Express, 8(1), 65. https://doi.org/10.1186/s13568-018-059
  • Ahluwalia, M. K. (2021). Nutrigenetics and nutrigenomics—A personalized approach to nutrition. In D. Kumar (Ed.), Advances in Genetics (Vol. 108, pp. 277-340). Academic Press. https://doi.org/10.1016/bs.adgen.2021.08.005
  • Bahinipati, J., Sarangi, R., Mishra, S., & Mahapatra, S. (2021). Nutrigenetics and nutrigenomics: A brief review with future prospects. Biomedicine, 41(4), 714-719. https://doi.org/10.51248/.v41i4.445
  • Berciano, S., Figueiredo, J., Brisbois, T. D., Alford, S., Koecher, K., Eckhouse, S., ... & Ordovás, J. M. (2022). Precision nutrition: Maintaining scientific integrity while realizing market potential. Frontiers in Nutrition, 9. https://doi.org/10.3389/fnut.2022.979665
  • Braconi, D., Cicaloni, V., Spiga, O., & Santucci, A. (2019). In: Trends in Personalized Nutrition (ed. CM Galanikis). 1st ed. pp. 16-23. Elsevier: Cambridge.
  • Brown, H. E., & Roffman, J. L. (2014). Vitamin supplementation in the treatment of schizophrenia. CNS Drugs, 28, 611–622. https://doi.org/10.1007/s40263-014-0172-4.
  • Bush, C. L., Blumberg, J. B., El-sohemy, A., Minich, D. M., Ordovás, J. M., Reed, D. G., ... & Zivkovic, A. M. (2019). Toward the Definition of Personalized Nutrition: A Proposal by The American Nutrition Association. Journal of the American College of Nutrition, 39(1), 1-11. https://doi.org/10.1080/07315724.2019.1685532
  • Cahill, L., & El-Sohemy, A. (2011). Nutrigenomics: A possible road to personalized nutrition. In: Young M, editor. Comprehensive Biotechnology, Vol. 1. 2nd ed. Cambridge: Elsevier. 760-769.
  • Carlberg, C., Ulven, S. M., & Molnar, F. (2016). In: Nutrigenomics (ed. C Carlberg). 1st edn. pp. 195-208. Springer: Switzerland.
  • Carter, P., Gray, L. J., Troughton, J., Khunti, K., & Davies, M. J. (2010). Fruit and vegetable intake and incidence of type 2 diabetes mellitus: Systematic review and meta-analysis. BMJ, 341, 1-8. https://doi.org/10.1136/bmj.c4229
  • Castle, D. (2007). The ethics of personalized nutrition. Agro Food Ind Hi-Tech, 18(2), 68-70.
  • Coşkun, T. (2007). Nütrisyonel genomik. Çocuk Sağlığı ve Hastalıkları Dergisi, 50, 47-66.
  • Cotton, C. M., & Murray, J. C. (2016). In: Avery’s Diseases of the Newborn (eds. CA Gleason & T Sawyer) 10th edn. pp. 180-189. Elsevier: New York.
  • Daiger, S. P., Bowne, S. J., & Sullivan, L. S. (2014). Genes and mutations causing autosomal dominant retinitis pigmentosa. Cold Spring Harbor Perspectives in Medicine, 5(10), a017129. https://doi.org/10.1101/cshperspect.a017129.
  • Duthie, S. J., Narayanan, S., Brand, G. M., Pirie, L., & Grant, G. (2022). Impact of Folate Deficiency on DNA Stability. Journal of Nutrition, 132(8), 2444-2449. https://doi.org/10.1093/jn/132.8.2444S
  • EIT Food. (2020). Personalised nutrition to help reduce the effect of diseases such as COVID-19 [Internet]. [cited 2020, Nov 11] Available at: https://www.eitfood.eu/news/post/personalised-nutrition-to-help-reduce-the-effect-of-diseases-such-as-covid-19-according-to-scientists-at-the-eit-food-innovation-forum
  • Emamian, E. S. (2012). AKT/GSK3 signaling pathway and schizophrenia. Frontiers in Molecular Neuroscience, 5(33), 33. https://doi.org/10.3389/fnmol.2012.00033.
  • Fenech, M., El-Sohemy, A., Cahill, L., Ferguson, L. R., French, T. A., Tai, E. S., ... & Christophe, M. L. (2011). Nutrigenetics and nutrigenomics: viewpoints on the current status and applications in nutrition research and practice. Journal of Nutrigenetics and Nutrigenomics, 4(2), 69-89. https://doi.org/10.1159/000327772
  • Ferguson, L. R., Caterina, R. D., Görman, U., Allayee, H., Kohlmeier, M., Prasad, C., ... & Willem, H. (2016). Guide and position of the International Society of Nutrigenetics/Nutrigenomics on personalized nutrition: part 1 - fields of precision nutrition. Journal of Nutrigenetics and Nutrigenomics, 9(1), 12-27. https://doi.org/10.1159/000445350.
  • Gaboon, N. E. A. (2011). Nutritional genomics and personalized diet. Egyptian Journal of Medical Human Genetics, 12(1), 1-7. https://doi.org/10.1016/j.ejmhg.2011.02.001
  • Gasmi, A., Mujawdiya, P. K., Noor, S., Piscopo, S., & Menzel, A. (2021). Lifestyle genetics-based reports in the treatment of obesity. Archives of Razi Institute, 76(4), 707-719. https://doi.org/10.22092/ari.2021.356057.1768
  • Gellar, L., & Nansel, T. R. (2009). High and low glycemic index mixed meals and blood glucose in youth with type 2 diabetes or impaired glucose tolerance. Journal of Pediatrics, 154(3), 455-458. https://doi.org/10.1016/j.jpeds.2008.09.040.
  • Ghosh, D. (2009). Future perspectives of nutrigenomics foods: benefits vs risks. Indian Journal of Biochemistry & Biophysics, 46(1), 31-36.
  • Gibney, M., Walsh, M., & Goosens, J. (2016). In: Good Nutrition: Perspectives for the 21st Century (eds. M. Eggersdorfer, K. Kraemer, K. Cordaro, J. Fanzo, M. Gibney, E. Kennedy, ... & H. N. S. M. Chai). 1st edn., pp. 235-248. Karger: Basel.
  • Görman, U. (2006). Ethical issues raised by personalized nutrition based on genetic information. Genes & Nutrition, 1(1), 13–22. https://doi.org/10.1007/BF02829932.
  • Gyorkos, A., Baker, M. H., Miutz, L. N., Lown, D. A., Jones, M. A., & Houghton-Rahrig, L. D. (2019). Carbohydrate-restricted diet and exercise increase brain-derived neurotrophic factor and cognitive function: a randomized crossover trial. Cureus, 11(9), e5604. https://doi.org/10.7759/cureus.5604.
  • Joost, H. G., Gibney, M. J., Cashman, K. D., Görman, U., Hesketh, J. E., Mueller, M., ... & Prasad, C. (2007). Personalised nutrition: status and perspectives. British Journal of Nutrition, 98(1), 26-31. https://doi.org/10.1017/S0007114507685195.
  • Juma, S., Imrhan, V., Vijayagopal, P., & Prasad, C. (2014). Prescribing personalized nutrition for cardiovascular health: are we ready? Journal of Nutrigenetics and Nutrigenomics, 7(3), 153-160. https://doi.org/10.1159/000365825.
  • Kettunen, J., Tukiainen, T., Sarin, A. P., Ortega-Alonso, A., Tikkanen, E., Lyytikäinen, L.-P., et al. (2012). Genome-wide association study identifies multiple loci influencing human serum metabolite levels. Nature Genetics, 44, 269-276. https://doi.org/10.1038/ng.1073
  • Khoury, M. J. (2020) “Precision” health tools and… increased health disparities? Genomics and Health Impact Blog. Available at: https://blogs.cdc.gov/genomics/2020/01/08/precision-health-tools/
  • Köseoğlu, S. Z. A., & Çelikel, S. (2020). The Current Information in Nutrition Therapy of Phenylketonuria. European Journal of Science and Technology, 18, 755-761. https://doi.org/10.31590/ejosat.693556
  • Lago, R. M., Singh, P. P., & Nesto, R. W. (2007). Diabetes and hypertension. Nature Clinical Practice Endocrinology & Metabolism, 3(10), 667. https://doi.org/10.1038/ncpendmet0638.
  • Lam, D., Ancelin, M. L., Ritchie, K., Freak-Poli, R., Saffery, R., & Ryan, J. (2018). Genotype-dependent associations between serotonin transporter gene (SLC6A4) DNA methylation and late-life depression. BMC Psychiatry, 18, 282. https://doi.org/10.1186/s12888-018-1850-4.
  • Lindroth, A., Park, J. H., Yoo, Y., & Park, Y. J. (2015). In: Personalized Epigenetics (ed. T. O. Tollefsbol). 1st edn. pp. 333-335. Elsevier: Cambridge.
  • MacDonald, A., Rocha, J., Rijn, M. V., & Feillet, F. (2011). Nutrition in phenylketonuria. Molecular Genetics and Metabolism, 104, 10-18. https://doi.org/10.1016/j.ymgme.2011.08.023
  • Maculewicz, E., Leońska-Duniec, A., Mastalerz, A., Szarska, E., Garbacz, A., Lepionka, T., ... & Sawczuk, M. (2022). The Influence of FTO, FABP2, LEP, LEPR, and MC4R Genes on Obesity Parameters in Physically Active Caucasian Men. International Journal of Environmental Research and Public Health, 119(10), 6030. https://doi.org/10.3390/ijerph19106030
  • Martinez, A., & Milagro, F. (2015). Genetics of weight loss: A basis for personalized obesity management. Trends in Food Science & Technology, 42, 97-115. https://doi.org/10.1016/j.tifs.2014.12.009.
  • Marzo, C. M., Gambini, S., Poletti, S., Munari, F., Assfalg, M., & Guzzo, F. (2022). Inhibition of human monoamine oxidases A and B by specialized metabolites present in fresh common fruits and vegetables. Plants, 11(3), 346. https://doi.org/10.3390/plants11030346.
  • McCormack, S. E., Shaham, O., McCarthy, M. A., Deik, A. A., Wang, T. J., Gerszten, R. E., et al. (2013). Circulating branched-chain amino acid concentrations are associated with obesity and future insulin resistance in children and adolescents. Pediatric Obesity, 8, 52-61. https://doi.org/10.1111/j.2047-6310.2012.00094.x
  • Mullins, V. A., Bresette, W., Johnstone, L., Hallmark, B., & Chilton, F. H. (2020). Genomics in Personalized Nutrition: Can You “Eat for Your Genes”? Nutrients, 12, 3118. https://doi.org/10.3390/nu12103118
  • NIH (National Institute of Health). (2022). Folate Fact Sheet for Professionals [Internet]. [cited 30 November 2022]. Available at: https://ods.od.nih.gov/factsheets/Folate-HealthProfessional/
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  • Nordström, K., & Goossens, J. (2016). Personalized Nutrition and Social Justice: Ethical Considerations Within Four Future Scenarios Applying the Perspective of Nussbaum’s Capabilities Approach. Journal of Agricultural and Environmental Ethics, 29, 5–22. https://doi.org/10.1007/s10806-015-9589-0
  • Oliveri, S., Ferrari, F., Manfrinati, A., & Pravettoni, G. (2017). A systematic review of the psychological implications of genetic testing: A comparative analysis among cardiovascular, neurodegenerative and cancer diseases. Frontiers in Genetics, 8, 644.
  • Ordovas, J. M., Ferguson, L. R., Tai, E. S., & Mathers, J. C. (2018). Personalized nutrition and health. BMJ, 13, 361. https://doi.org/10.1136/bmj.k2173.
  • Poinhos, R., van der Lans, I., Rankin, A., Arnout, B., Kuznesof, B., Knox, S., ... & Frewer, L. J. (2014). Psychological determinants of consumer acceptance of personalised nutrition in 9 European countries. Plos One, 9(10), e110614. https://doi.org/10.1371/journal.pone.0110614
  • Rajasekaran, A., & Davison, K. (2023). Genomics and gene-based personalized nutrition. In Nutritional health: Strategies for disease prevention (pp. 297-306). Cham: Springer International Publishing. Rudkowska, I. (2021). Genomics and personalized nutrition. Nutrients, 13(4), 1128. https://doi.org/10.3390/nu13041128
  • San-Cristobal, R., Milagro, F. I., & Martínez, J. A. (2013). Future challenges and present ethical considerations in the use of personalized nutrition based on genetic advice. Journal of the Academy of Nutrition and Dietetics, 113(11), 1447-1454. https://doi.org/10.1016/j.jand.2013.05.028.
  • Singh, R., Jurecki, E., & Rohr, F. (2008). Recommendations for personalized dietary adjustments based on patient response to tetrahydrobiopterin (BH4) in phenylketonuria. Topics in Clinical Nutrition, 23, 149–157. https://doi.org/10.1097/01.TIN.0000318911.54358.a1
  • Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., ... & Bray, F. (2021). Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 71(3), 209-249. https://doi.org/10.3322/caac.21660.
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  • Taylor, C. W., Bultman, S., D’Adamo, C., Daniel, C. R., Debelius, J., Ho, E., ... & Wood, S. M. (2019). Personalized nutrition in disrupting cancer - proceedings from the 2017 American College of Nutrition Annual Meeting. Journal of the American College of Nutrition, 38(1), 1-14. https://doi.org/10.1080/07315724.2018.1500499.
  • Taneera, J., Lang, S., Sharma, A., Fadista, J., Zhou, Y., Ahlqvist, E., et al. (2012). A systems genetics approach identifies genes and pathways for type 2 diabetes in human islets. Cell Metabolism, 16, 122-134. https://doi.org/10.1016/j.cmet.2012.06.006
  • Verma, M., Hontecillas, R., Tubau-Juni, N., Abedi, V., & Bassaganya-Riera, J. (2018). Challenges in personalized nutrition and health. Frontiers in Nutrition, 5, 117.
  • Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., et al. (2011). Metabolite profiles and the risk of developing diabetes. Nature Medicine, 17, 448-453. https://doi.org/10.1038/nm.2307
  • WHO (World Health Organization). (2021). Depression [Internet]. [cited 2021 Sep 13]. Available from: https://www.who.int/news-room/fact-sheets/detail/depression.
  • WHO (World Health Organization). (2022). Cancer [Internet]. [cited 2022 Feb 3]. Available at: https://www.who.int/en/news-room/fact-sheets/detail/cancer.
  • Wicinski, M., Malinowski, B., Weclewicz, M. M., Grzesk, E., & Grzesk, G. (2017). Resveratrol increases serum BDNF concentrations and reduces vascular smooth muscle cells contractility via a NOS-3-independent mechanism. BioMed Research International, 2017, 9202954. https://doi.org/10.1155/2017/9202954.
  • Xu, M., Qi, Q., Liang, J., Bray, G. A., Hu, F. B., Sacks, F. M., et al. (2013). Genetic determinant for amino acid metabolites and changes in body weight and insulin resistance in response to weight-loss diets: the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial. Circulation, 127, 1283-1289. https://doi.org/10.1161/CIRCULATIONAHA.112.000774
  • Zhong, J. S., Lu, W., Feng, Z. X., Yun, R. H., & Liu, Y. (2016). Obesity and hypertension. Experimental and Therapeutic Medicine, 12(4), 2395-2399. https://doi.org/10.3892/etm.2016.366
Toplam 60 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Gıda Mühendisliği
Bölüm Derlemeler
Yazarlar

Batuhan İnanlar 0000-0002-9511-6182

Aslı Pınar Kemer 0000-0003-4925-8953

Neşe Şahin Yeşilçubuk 0000-0002-4179-1932

Birsen Demirel 0000-0003-3897-1446

Yayımlanma Tarihi
Gönderilme Tarihi 29 Şubat 2024
Kabul Tarihi 9 Eylül 2024
Yayımlandığı Sayı Yıl 2025 Cilt: 3 Sayı: 1

Kaynak Göster

APA İnanlar, B., Kemer, A. P., Şahin Yeşilçubuk, N., Demirel, B. (t.y.). The relationship between gene-environment interaction in personalized nutrition, disease outcomes and ethical implications. ITU Journal of Food Science and Technology, 3(1), 1-10.