Abstract
Aging is a multifactorial biological process manifested by different characteristic changes at the molecular and cellular level affecting multiple physiological functions and immune competence. While varying enormously between individuals, aging and its underlying mechanisms increase the susceptibility to many diseases. Research focusing on individual aspects of disease pathologies and aging has shown the huge importance of epigenetic regulation and microbial metabolites beyond hereditary genetic dispositions. Epigenetic mechanisms, but also microbiota and their metabolites reflect impacts of lifestyle and nutrition. Epigenetics and microbiota therefore provide some of the most accurate biomarkers of healthy of premature aging such as the epigenetic clock. These developments suggest that the ‘one-size-fits-all’ concept in medicine as well as in nutrition is no longer sufficient to narrow the gap between health span and life span. Integrating and combining data from different platforms (genome-DNA sequence, transcriptome, proteome, metabolome, and epigenome) leads to a better understanding of the basis of complex diseases and paves the way toward personalized medicine and personalised nutrition. Consumer organizations will have to find a delicate balance between safety, use of modern concepts of precise nutrition as well as quite divergent expectation of different consumer groups.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Abdelmohsen K, Panda A, Kang MJ, Xu J, Selimyan R, Yoon JH, Martindale JL, De S, Wood WH, Becker KG, Gorospe M (2013) Senescence-associated lncRNAs: senescence-associated long noncoding RNAs. Aging Cell 12(5):890–900. https://doi.org/10.1111/acel.12115
Adams J (2008) No title genetic control of aging and life span. Nat Educ 1(1):130
Adams SH, Anthony JC, Carvajal R, Chae L, Khoo CSH, Latulippe ME, Matusheski NV, McClung HL, Rozga M, Schmid CH, Wopereis S, Yan W (2020) Perspective: guiding principles for the implementation of personalized nutrition approaches that benefit health and function. Adv Nutr 11(1):25–34. http://doi.org/10.1093/ADVANCES/NMZ086
Agostoni C, Bresson J-L, Fairweather-Tait S, Flynn A, Golly I, Korhonen H, Lagiou P, Løvik M, Marchelli R, Martin A, Moseley B, Neuhäuser-Berthold M, Przyrembel H, Salminen S, Sanz Y, Strain S, Strobel S, Tetens I, Tomé D et al (2010) Scientific opinion on principles for deriving and applying dietary reference values. EFSA J 8(3):1458. http://doi.org/10.2903/J.EFSA.2010.1458
Ahadi S, Zhou W, Schüssler-Fiorenza Rose SM, Sailani MR, Contrepois K, Avina M, Ashland M, Brunet A, Snyder M (2020) Personal aging markers and ageotypes revealed by deep longitudinal profiling. Nat Med 26(1):83. https://doi.org/10.1038/S41591-019-0719-5
Allis CD, Jenuwein T (2016) The molecular hallmarks of epigenetic control. Nat Rev Genet 17(8):487–500. http://doi.org/10.1038/nrg.2016.59
Alsulami S, Aji AS, Ariyasra U, Sari SR, Tasrif N, Yani FF, Lovegrove JA, Sudji IR, Lipoeto NI, Vimaleswaran KS (2020) Interaction between the genetic risk score and dietary protein intake on cardiometabolic traits in Southeast Asian. Genes Nutr 15(1). http://doi.org/10.1186/S12263-020-00678-W
Anastasiou D, Krek W (2006) SIRT1: linking adaptive cellular responses to aging-associated changes in organismal physiology. Physiology (Bethesda, Md.) 21(6):404–410. http://doi.org/10.1152/physiol.00031.2006
Anton S, Leeuwenburgh C (2013) Fasting or caloric restriction for healthy aging. Exp Gerontol 48(10):1003–1005. https://doi.org/10.1016/j.exger.2013.04.011
Armenise C, Lefebvre G, Carayol J, Bonnel S, Bolton J, di Cara A, Gheldof N, Descombes P, Langin D, Saris WHM, Astrup A, Hager J, Viguerie N, Valsesia A (2017) Transcriptome profiling from adipose tissue during a low-calorie diet reveals predictors of weight and glycemic outcomes in obese, nondiabetic subjects. Am J Clin Nutr 106(3):736–746. https://doi.org/10.3945/ajcn.117.156216
Asif S, Morrow NM, Mulvihill EE, Kim KH (2020) Understanding dietary intervention-mediated epigenetic modifications in metabolic diseases. Front Genet 11:1242. https://doi.org/10.3389/FGENE.2020.590369/BIBTEX
Baird PA (1990) Genetics and health care: a paradigm shift. Perspect Biol Med 33(2):203–213. https://doi.org/10.1353/PBM.1990.0009
Banjabi AA, Al-Ghafari AB, Kumosani TA, Kannan K, Fallatah SM (2020) Genetic influence of vitamin D receptor gene polymorphisms on osteoporosis risk. Int J Health Sci 14(4):22. /pmc/articles/PMC7346971/
Basavarajappa BS, Subbanna S (2021) Histone methylation regulation in neurodegenerative disorders. Int J Mol Sci 22(9). http://doi.org/10.3390/IJMS22094654
Bautista‐García P, González‐López L, González‐Esparza B, del Castillo‐Rosas C (2017) Effect of bioactive nutriments in health and disease: the role of epigenetic modifications. In: Functional food—improve health through adequate food. https://doi.org/10.5772/INTECHOPEN.68789
Berná G, Oliveras-López MJ, Jurado-Ruíz E, Tejedo J, Bedoya F, Soria B, Martín F (2014) Nutrigenetics and nutrigenomics insights into diabetes etiopathogenesis. Nutrients 6(11):5338–5369. https://doi.org/10.3390/NU6115338
Bernadotte A, Mikhelson VM, Spivak IM (2016) Markers of cellular senescence. Telomere shortening as a marker of cellular senescence. Aging 8(1):3–11. http://doi.org/10.18632/aging.100871
Biesiekierski JR, Livingstone KM, Moschonis G (2019) Personalised nutrition: updates, gaps and next steps. Nutrients 11(8). http://doi.org/10.3390/NU11081793
Boqué N, de la Iglesia R, de la Garza AL, Milagro FI, Olivares M, Bañuelos Ó, Soria AC, Rodríguez-Sánchez S, Martínez JA, Campión J (2013) Prevention of diet-induced obesity by apple polyphenols in Wistar rats through regulation of adipocyte gene expression and DNA methylation patterns. Mol Nutr Food Res 57(8):1473–1478. https://doi.org/10.1002/MNFR.201200686
Bowman GD, Poirier MG (2015) Post-translational modifications of histones that influence nucleosome dynamics. Chem Rev 115(6):2274. https://doi.org/10.1021/CR500350X
Braeckman BP, Vanfleteren JR (2007) Genetic control of longevity in C. elegans. Exp Gerontol 42(1–2):90–98. http://doi.org/10.1016/j.exger.2006.04.010
Briceño O, Lissina A, Wanke K, Afonso G, von Braun A, Ragon K, Miquel T, Gostick E, Papagno L, Stiasny K, Price DA, Mallone R, Sauce D, Karrer U, Appay V (2016) Reduced naïve CD8+ T-cell priming efficacy in elderly adults. Aging Cell 15(1):14–21. https://doi.org/10.1111/acel.12384
Bronkhorst AJ, Ungerer V, Holdenrieder S (2019) The emerging role of cell-free DNA as a molecular marker for cancer management. Biomol Detect Quantification 17. https://doi.org/10.1016/J.BDQ.2019.100087
Brunet A, Berger SL (2014a) Epigenetics of aging and aging-related disease. J Gerontol Ser A Biol Sci Med Sci 69(Suppl. 1):17–20. https://doi.org/10.1093/gerona/glu042
Brunet A, Berger SL (2014b) Epigenetics of aging and aging-related disease. J Gerontol Ser A Biol Sci Med Sci 69(Suppl 1):S17–S20. http://doi.org/10.1093/gerona/glu042
Busslinger M, Tarakhovsky A (2014) Epigenetic control of immunity. Cold Spring Harbor Perspect Biol 6(6). http://doi.org/10.1101/cshperspect.a019307
Byrne CS, Chambers ES, Morrison DJ, Frost G (2015) The role of short chain fatty acids in appetite regulation and energy homeostasis. Int J Obes 39(9):1331. http://doi.org/10.1038/IJO.2015.84
Cambier J (2005) Immunosenescence: a problem of lymphopoiesis, homeostasis, microenvironment, and signaling. Immunol Rev 205:5–6. http://doi.org/10.1111/j.0105-2896.2005.00276.x
Campisi J (2013) Aging, cellular senescence, and cancer. Annu Rev Physiol 75:685–705
Casas R, Sacanella E, Estruch R (2016) The immune protective effect of the Mediterranean diet against chronic low-grade inflammatory diseases. Endocr Metab Immune Disord Drug Targets 14(4):245. https://doi.org/10.2174/1871530314666140922153350
Celis-Morales C, Livingstone KM, Marsaux CFM, Macready AL, Fallaize R, O’Donovan CB, Woolhead C, Forster H, Walsh MC, Navas-Carretero S, San-Cristobal R, Tsirigoti L, Lambrinou CP, Mavrogianni C, Moschonis G, Kolossa S, Hallmann J, Godlewska M, Surwiłło A et al (2017) Effect of personalized nutrition on health-related behaviour change: evidence from the Food4Me European randomized controlled trial. Int J Epidemiol 46(2):578–588. http://doi.org/10.1093/IJE/DYW186
Chaleckis R, Murakami I, Takada J, Kondoh H, Yanagida M (2016) Individual variability in human blood metabolites identifies age-related differences. Proc Natl Acad Sci U S A 113(16):4252–4259. https://doi.org/10.1073/PNAS.1603023113/SUPPL_FILE/PNAS.1603023113.SD01.XLSX
Chambers SM, Shaw CA, Gatza C, Fisk CJ, Donehower LA, Goodell MA (2007) Aging hematopoietic stem cells decline in function and exhibit epigenetic dysregulation. PLoS Biol 5(8):1750–1762. https://doi.org/10.1371/journal.pbio.0050201
Colby S, Zhou W, Allison C, Mathews AE, Olfert MD, Morrell JS, Byrd-Bredbenner C, Greene G, Brown O, Kattelmann K, Shelnutt K (2020) Development and validation of the short healthy eating index survey with a college population to assess dietary quality and intake. Nutrients 12(9):1–24. https://doi.org/10.3390/NU12092611
Cool Temperature Alters Human Fat and Metabolism | National Institutes of Health (NIH) (n.d.) Retrieved April 20, 2022, from https://www.nih.gov/news-events/nih-research-matters/cool-temperature-alters-human-fat-metabolism
Covolo L, Rubinelli S, Ceretti E, Gelatti U (2015) Internet-based direct-to-consumer genetic testing: a systematic review. J Med Internet Res 17(12). http://doi.org/10.2196/jmir.4378
Crujeiras AB, Campion J, Díaz-Lagares A, Milagro FI, Goyenechea E, Abete I, Casanueva FF, Martínez JA (2013) Association of weight regain with specific methylation levels in the NPY and POMC promoters in leukocytes of obese men: a translational study. Regul Pept 186:1–6. https://doi.org/10.1016/J.REGPEP.2013.06.012
Cuenca-Micó O, Aceves C (2020) Micronutrients and breast cancer progression: a systematic review. Nutrients 12(12):1–18. https://doi.org/10.3390/NU12123613
D’argenio V (2018) The prenatal microbiome: a new player for human health. High-Throughput 7(4). http://doi.org/10.3390/ht7040038
Dato S, Crocco P, Rambaldi Migliore N, Lescai F (2021) Omics in a digital world: the role of bioinformatics in providing new insights into human aging. Front Genet 12:689824. https://doi.org/10.3389/FGENE.2021.689824/FULL
de Moraes ACF, Fernandes GR, da Silva IT, Almeida-Pititto B, Gomes EP, da Pereira AC, Ferreira SRG (2017) Enterotype may drive the dietary-associated cardiometabolic risk factors. Front Cell Infect Microbiol 7:47. http://doi.org/10.3389/FCIMB.2017.00047/FULL
de Toro-Martín J, Arsenault BJ, Després JP, Vohl MC (2017) Precision nutrition: a review of personalized nutritional approaches for the prevention and management of metabolic syndrome. Nutrients 9(8):913. https://doi.org/10.3390/NU9080913
DeBord DG, Carreón T, Lentz TJ, Middendorf PJ, Hoover MD, Schulte PA (2016) Use of the “exposome” in the practice of epidemiology: a primer on-omic technologies. Am J Epidemiol 184(4):302. https://doi.org/10.1093/AJE/KWV325
Den Besten G, Van Eunen K, Groen AK, Venema K, Reijngoud DJ, Bakker BM (2013) The role of short-chain fatty acids in the interplay between diet, gut microbiota, and host energy metabolism. J Lipid Res 54(9):2325–2340. http://doi.org/10.1194/jlr.R036012
Dhakal R, Bajpai VK, Baek KH (2012) Production of gaba (gamma—aminobutyric acid) by microorganisms: a review. Braz J Microbiol 43(4):1230–1241. https://doi.org/10.1590/s1517-83822012000400001
Dillin A, Kelly JW (2007) Medicine. The yin-yang of sirtuins. Science (New York, N.Y.) 317(5837):461–462. http://doi.org/10.1126/science.1146585
Drew L (2022) Turning back time with epigenetic clocks. Nature 601(7893):S20–S22. https://doi.org/10.1038/d41586-022-00077-8. PMID: 35046594
Duranti S, Ruiz L, Lugli GA, Tames H, Milani C, Mancabelli L, Mancino W, Longhi G, Carnevali L, Sgoifo A, Margolles A, Ventura M, Ruas-Madiedo P, Turroni F (2020) Bifidobacterium adolescentis as a key member of the human gut microbiota in the production of GABA. Sci Rep 10(1):1–13. http://doi.org/10.1038/s41598-020-70986-z
Eckburg PB, Bik EM, Bernstein CN, Purdom E, Dethlefsen L, Sargent M, Gill SR, Nelson KE, Relman DA (2005) Microbiology: diversity of the human intestinal microbial flora. Science 308(5728):1635–1638. https://doi.org/10.1126/science.1110591
Fan C, Zhang L, Fu H, Liu C, Li W, Cheng Q, Zhang H, Jia S, Zhang Y (2020) Enterotypes of the gut microbial community and their response to plant secondary compounds in plateau pikas. Microorganisms 8(9):1–16. https://doi.org/10.3390/MICROORGANISMS8091311
Faragher RGA (2015) Should we treat aging as a disease? The consequences and dangers of miscategorisation. Front Genet 6:171. http://doi.org/10.3389/FGENE.2015.00171/BIBTEX
Fenley AT, Anandakrishnan R, Kidane YH, Onufriev AV (2018) Modulation of nucleosomal DNA accessibility via charge-altering post-translational modifications in histone core. Epigenetics Chromatin 11(1):1–19. https://doi.org/10.1186/S13072-018-0181-5/METRICS
Ferguson LR, de Caterina R, Görman U, Allayee H, Kohlmeier M, Prasad C, Choi MS, Curi R, de Luis DA, Gil Á, Kang JX, Martin RL, Milagro FI, Nicoletti CF, Nonino CB, Ordovas JM, Parslow VR, Portillo MP, Santos JL et al (2016) Guide and position of the international society of nutrigenetics/nutrigenomics on personalised nutrition: part 1—fields of precision nutrition. Lifestyle Genomics 9(1):12–27. http://doi.org/10.1159/000445350
Feser J, Tyler J (2011) Chromatin structure as a mediator of aging. FEBS Lett 585(13):2041–2048. http://doi.org/10.1016/j.febslet.2010.11.016
Finkel T, Deng CX, Mostoslavsky R (2009) Recent progress in the biology and physiology of sirtuins. Nature 460(7255):587–591. http://doi.org/10.1038/nature08197
Flint HJ, Scott KP, Duncan SH, Louis P, Forano E (2012) Microbial degradation of complex carbohydrates in the gut. Gut Microbes 3(4):289. https://doi.org/10.4161/GMIC.19897
Fluitman KS, Wijdeveld M, Nieuwdorp M, IJzerman RG (2018) Potential of butyrate to influence food intake in mice and men. Gut 67(7):1203–1204. https://doi.org/10.1136/GUTJNL-2017-315543
Frayling TM (2014) Genome-wide association studies: the good, the bad and the ugly. Clin Med 14(4):428. https://doi.org/10.7861/CLINMEDICINE.14-4-428
Freitas RDS, Campos MM (2019) Protective effects of omega-3 fatty acids in cancer-related complications. Nutrients 11(5). http://doi.org/10.3390/NU11050945
Frommherz L, Bub A, Hummel E, Rist MJ, Roth A, Watzl B, Kulling SE (2016) Age-related changes of plasma bile acid concentrations in healthy adults-results from the cross-sectional Karmen study. PLoS ONE 11(4). http://doi.org/10.1371/JOURNAL.PONE.0153959
Fuhler GM (2020) The immune system and microbiome in pregnancy. Best Pract Res Clin Gastroenterol 44–45:101671. https://doi.org/10.1016/J.BPG.2020.101671
Fymat AL (2017) Genetics, epigenetics and cancer. Cancer Ther Oncol Int J 4(2). http://doi.org/10.19080/ctoij.2017.04.555634
Gabanyi I, Lepousez G, Wheeler R, Vieites-Prado A, Nissant A, Wagner S, Moigneu C, Dulauroy S, Hicham S, Polomack B, Verny F, Rosenstiel P, Renier N, Boneca IG, Eberl G, Lledo P-M (2022) Bacterial sensing via neuronal Nod2 regulates appetite and body temperature. Science 376(6590). http://doi.org/10.1126/SCIENCE.ABJ3986
García-Giménez JL, Seco-Cervera M, Tollefsbol TO, Romá-Mateo C, Peiró-Chova L, Lapunzina P, Pallardó FV (2017) Epigenetic biomarkers: current strategies and future challenges for their use in the clinical laboratory. Crit Rev Clin Lab Sci 54(7–8):529. https://doi.org/10.1080/10408363.2017.1410520
Garcia-Perez I, Posma JM, Chambers ES, Mathers JC, Draper J, Beckmann M, Nicholson JK, Holmes E, Frost G (2020) Dietary metabotype modelling predicts individual responses to dietary interventions. Nat Food 1(6):355–364. https://doi.org/10.1038/S43016-020-0092-Z
Garmany A, Yamada S, Terzic A (2021) Longevity leap: mind the healthspan gap. npj Regenerative Med 6(1):1–7. http://doi.org/10.1038/s41536-021-00169-5
Gelato KA, Fischle W (2008) Role of histone modifications in defining chromatin structure and function. Biol Chem 389(4):353–363. https://doi.org/10.1515/BC.2008.048
Gems D (2011) Aging: to treat or not to treat? Am Sci 99(4):278–280. https://doi.org/10.1511/2011.91.278
Gomez-Cabrero D, Walter S, Abugessaisa I, Miñambres-Herraiz R, Palomares LB, Butcher L, Erusalimsky JD, Garcia-Garcia FJ, Carnicero J, Hardman TC, Mischak H, Zürbig P, Hackl M, Grillari J, Fiorillo E, Cucca F, Cesari M, Carrie I, Colpo M et al (2021) A robust machine learning framework to identify signatures for frailty: a nested case-control study in four aging European cohorts. GeroScience 43(3):1317–1329. http://doi.org/10.1007/S11357-021-00334-0
Goodall EF, Leach V, Wang C, Cooper-Knock J, Heath PR, Baker D, Drew DR, Jill Saffrey M, Simpson JE, Romero IA, Wharton SB (2019) Age-associated mRNA and miRNA expression changes in the blood-brain barrier. Int J Mol Sci 20(12). http://doi.org/10.3390/ijms20123097
Grabowski M, Barski J, Liśkiewicz D (2020) [Metabolic phenoty** in the development personalized nutrition]. Postepy Biochemii 66(2). http://doi.org/10.18388/PB.2020_329
Gruendler R, Hippe B, Sendula Jengic V, Peterlin B, Haslberger AG (2020) Nutraceutical approaches of autophagy and neuroinflammation in Alzheimer’s disease: a systematic review. Molecules (Basel, Switzerland) 25(24). http://doi.org/10.3390/molecules25246018
Guarente L (2011) Sirtuins, aging, and medicine. N Engl J Med 364(23):2235–2244. http://doi.org/10.1056/NEJMra1100831
Guarente L, Guarente L (2007) Sirtuins in aging and disease. Cold Spring Harb Symp Quant Biol 72:483–488. http://doi.org/10.1101/sqb.2007.72.024
Guasch-Ferre M, Bhupathiraju SN, Hu FB (2018) Use of metabolomics in improving assessment of dietary intake. Clin Chem 64(1):82. https://doi.org/10.1373/CLINCHEM.2017.272344
Haigis MC, Sinclair DA (2010) Mammalian Sirtuins: biological insights and disease relevance. Annu Rev Pathol 5(1):253–295. https://doi.org/10.1146/annurev.pathol.4.110807.092250
Haithcock E, Dayani Y, Neufeld E, Zahand AJ, Feinstein N, Mattout A, Gruenbaum Y, Liu J (2005) Age-related changes of nuclear architecture in Caenorhabditis elegans. Proc Natl Acad Sci U S A 102(46):16690–16695. https://doi.org/10.1073/pnas.0506955102
Hall JA, Dominy JE, Lee Y, Puigserver P (2013) The Sirtuin family’s role in aging and age-associated pathologies. J Clin Investig 123(3):973–979. https://doi.org/10.1172/JCI64094
Hannum G, Guinney J, Zhao L, Zhang L, Hughes G, Sadda SV, Klotzle B, Bibikova M, Fan JB, Gao Y, Deconde R, Chen M, Rajapakse I, Friend S, Ideker T, Zhang K (2013) Genome-wide methylation profiles reveal quantitative views of human aging rates. Mol Cell 49(2):359–367. https://doi.org/10.1016/J.MOLCEL.2012.10.016
Haslberger A (2009) Epigenetics and human health: linking hereditary, environmental and nutritional aspects. Wiley-VCH
Hassan FU, Rehman MSU, Khan MS, Ali MA, Javed A, Nawaz A, Yang C (2019) Curcumin as an alternative epigenetic modulator: mechanism of action and potential effects. Front Genet 10. http://doi.org/10.3389/FGENE.2019.00514
Henry NL, Hayes DF (2012) Cancer biomarkers. Mol Oncol 6(2):140. https://doi.org/10.1016/J.MOLONC.2012.01.010
Herforth A, Arimond M, Álvarez-Sánchez C, Coates J, Christianson K, Muehlhoff E (2019) A global review of food-based dietary guidelines. Adv Nutr (Bethesda, Md.) 10(4):590–605. http://doi.org/10.1093/ADVANCES/NMY130
Hernández MAG, Canfora EE, Jocken JWE, Blaak EE (2019) The short-chain fatty acid acetate in body weight control and insulin sensitivity. Nutrients 11(8). http://doi.org/10.3390/NU11081943
Herskind AM, McGue M, Holm NV, Sørensen TIA, Harvald B, Vaupel JW (1996) The heritability of human longevity: a population-based study of 2872 Danish twin pairs born 1870–1900. Hum Genet 97(3):319–323. https://doi.org/10.1007/BF02185763
Hillesheim E, Brennan L (2020) Metaboty** and its role in nutrition research. Nutr Res Rev 33(1):33–42. https://doi.org/10.1017/S0954422419000179
Hillesheim E, Ryan MF, Gibney E, Roche HM, Brennan L (2020) Optimisation of a metabotype approach to deliver targeted dietary advice. Nutr Metab 17(1):1–12. https://doi.org/10.1186/S12986-020-00499-Z/FIGURES/2
Hippe B, Zwielehner J, Liszt K, Lassl C, Unger F, Haslberger AG (2011) Quantification of butyryl CoA: acetate CoA-transferase genes reveals different butyrate production capacity in individuals according to diet and age. FEMS Microbiol Lett 316(2):130–135. https://doi.org/10.1111/j.1574-6968.2010.02197.x
Holscher HD (2017) Dietary fiber and prebiotics and the gastrointestinal microbiota. Gut Microbes 8(2):172. https://doi.org/10.1080/19490976.2017.1290756
Horne JR, Nielsen DE, Madill J, Robitaille J, Vohl MC, Mutch DM (2022). Guiding global best practice in personalized nutrition based on genetics: the development of a nutrigenomics care map. J Acad Nutr Diet 122:259–268, 269. https://doi.org/10.1016/j.jand.2021.02.008
Horvath S (2013) DNA methylation age of human tissues and cell types. Genome Biol 14(10):1–20. https://doi.org/10.1186/GB-2013-14-10-R115/COMMENTS
Hosseini-Esfahani F, Mirmiran P, Daneshpour MS, Mehrabi Y, Hedayati M, Soheilian-Khorzoghi M, Azizi F (2015) Dietary patterns interact with APOA1/APOC3 polymorphisms to alter the risk of the metabolic syndrome: the Tehran lipid and glucose study. Br J Nutr 113(4):644–653. https://doi.org/10.1017/S0007114514003687
How are biomarkers used to treat cancer? | MD Anderson Cancer Center (n.d.). Retrieved April 19, 2022, from https://www.mdanderson.org/cancerwise/how-are-biomarkers-used-in-cancer-treatment.h00-159460056.html
Huan T, Chen G, Liu C, Bhattacharya A, Rong J, Chen BH, Seshadri S, Tanriverdi K, Freedman JE, Larson MG, Murabito JM, Levy D (2018) Age-associated microRNA expression in human peripheral blood is associated with all-cause mortality and age-related traits. Aging Cell 17(1). http://doi.org/10.1111/acel.12687
Huang ZB, Zhang HT, Yu B, Yu DH (2021) Cell-free DNA as a liquid biopsy for early detection of gastric cancer. Oncol Lett 21(1). http://doi.org/10.3892/OL.2020.12264
Huarte M (2015) The emerging role of lncRNAs in cancer. Nat Med 21(11):1253–1261. http://doi.org/10.1038/nm.3981
Hughes RL, Kable ME, Marco M, Keim NL (2019) The role of the gut microbiome in predicting response to diet and the development of precision nutrition models. Part II: results. Adv Nutr 10(6):979. https://doi.org/10.1093/ADVANCES/NMZ049
Hwang JY, Aromolaran KA, Zukin RS (2017) The emerging field of epigenetics in neurodegeneration and neuroprotection. Nat Rev Neurosci 18(6):347. https://doi.org/10.1038/NRN.2017.46
Jardon KM, Canfora EE, Goossens GH, Blaak EE (2022) Dietary macronutrients and the gut microbiome: a precision nutrition approach to improve cardiometabolic health. Gut. gutjnl-2020-323715. http://doi.org/10.1136/GUTJNL-2020-323715
Jiang-hua Q, De-chuang J, Zhen-duo L, Shu-de C, Zhenzhen L (2014) Association of methylenetetrahydrofolate reductase and methionine synthase polymorphisms with breast cancer risk and interaction with folate, vitamin B6, and vitamin B12 intakes. Tumour Biol J Int Soc Oncodevelopmental Biol Med 35(12):11895–11901. https://doi.org/10.1007/S13277-014-2456-1
** H, Zhang Y, Ding Q, Wang SS, Rastogi P, Dai DF, Lu D, Purvis M, Cao C, Wang A, Liu D, Ren C, Elhadi S, Hu MC, Chai Y, Zepeda-Orozco D, Campisi J, Attanasio M (2019) Epithelial innate immunity mediates tubular cell senescence after kidney injury. JCI Insight 4(2). http://doi.org/10.1172/JCI.INSIGHT.125490
Juengst ET (2000) Concepts of disease after the human genome project. In: Ethical issues in health care on the frontiers of the twenty-first century, pp 127–154. https://doi.org/10.1007/0-306-46879-4_7
Kasper N, Mandell C, Ball S, Miller AL, Lumeng J, Peterson KE (2016) The healthy meal index: a tool for measuring the healthfulness of meals served to children. Appetite 103:54. https://doi.org/10.1016/J.APPET.2016.02.160
Kastenmüller G, Raffler J, Gieger C, Suhre K (2015) Genetics of human metabolism: an update. Hum Mol Genet 24(R1):R93–R101. https://doi.org/10.1093/HMG/DDV263
Keenan CR, Allan RS (2019) Epigenomic drivers of immune dysfunction in aging. Aging Cell 18(1). http://doi.org/10.1111/ACEL.12878
Kenyon C, Chang J, Gensch E, Rudner A, Tabtiang R (1993) A C. elegans mutant that lives twice as long as wild type. Nature 366(6454):461–464. http://doi.org/10.1038/366461a0
Khalilisamani N, Thomson PC, Raadsma HW, Khatkar MS (2022) Estimating heritability using family-pooled phenotypic and genotypic data: a simulation study applied to aquaculture. Heredity 128(3):178–186. http://doi.org/10.1038/s41437-022-00502-8
Kinser HE, Pincus Z (2020) MicroRNAs as modulators of longevity and the aging process. Hum Genet 139(3):291–308. Springer. http://doi.org/10.1007/s00439-019-02046-0
Klutstein M, Reizel Y, Galow A-M, Peleg S (2022) How to slow down the ticking clock: age-associated epigenetic alterations and related interventions to extend life span. Cells 11(3):468. http://doi.org/10.3390/CELLS11030468
Kolda TG, Bader BW (2009) Tensor decompositions and applications. Soc Ind Appl Math 51(3):455–500. https://doi.org/10.1137/07070111X
Kolodziejczyk AA, Zheng D, Elinav E (n.d.) Diet-microbiota interactions and personalized nutrition. Nat Rev Microbiol. http://doi.org/10.1038/s41579-019-0256-8
Kolodziejczyk AA, Zheng D, Elinav E (2019) Diet–microbiota interactions and personalized nutrition. Nat Rev Microbiol 17(12):742–753. http://doi.org/10.1038/s41579-019-0256-8
Koren O, Goodrich JK, Cullender TC, Spor A, Laitinen K, Kling Bäckhed H, Gonzalez A, Werner JJ, Angenent LT, Knight R, Bäckhed F, Isolauri E, Salminen S, Ley RE (2012) Host remodeling of the gut microbiome and metabolic changes during pregnancy. Cell 150(3):470–480. https://doi.org/10.1016/j.cell.2012.07.008
Lacal I, Ventura R (2018) Epigenetic Inheritance: concepts, mechanisms and perspectives. Front Mol Neurosci 11. https://doi.org/10.3389/FNMOL.2018.00292
Lazarus A, Banerjee KK, Kolthur-Seetharam U (2013) Small changes, big effects: chromatin goes aging. Subcell Biochem 61:151–176. https://doi.org/10.1007/978-94-007-4525-4_8
Lee B, Zhang S, Poleksic A, **e L (2020) Heterogeneous multi-layered network model for omics data integration and analysis. Front Genet 10:1381. https://doi.org/10.3389/FGENE.2019.01381/BIBTEX
Leeming ER, Johnson AJ, Spector TD, Roy CIL (2019) Effect of diet on the gut microbiota: rethinking intervention duration. Nutrients 11(12). http://doi.org/10.3390/NU11122862
Legube G, Trouche D (2003) Regulating histone acetyltransferases and deacetylases. EMBO Rep 4(10):944. https://doi.org/10.1038/SJ.EMBOR.EMBOR941
Li X, Watanabe K, Kimura I (2017) Gut microbiota dysbiosis drives and implies novel therapeutic strategies for diabetes mellitus and related metabolic diseases. Front Immunol 8. http://doi.org/10.3389/FIMMU.2017.01882
Li Y, Song Y, Wang Z, Zhang Z, Lu M, Wang Y (2019) Long non-coding RNA LINC01787 drives breast cancer progression via disrupting miR-125b generation. Front Oncol 9. https://doi.org/10.3389/fonc.2019.01140
Longo VD, Kennedy BK (2006) Sirtuins in aging and age-related disease. Cell 126(2):257–268. http://doi.org/10.1016/j.cell.2006.07.002
López-Cortegano E, Caballero A (2019) Inferring the nature of missing heritability in human traits using data from the GWAS catalog. Genetics 212(3):891–904. https://doi.org/10.1534/GENETICS.119.302077
López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G (2013) The hallmarks of aging. Cell 153(6):1194. http://doi.org/10.1016/j.cell.2013a.05.039
Lozupone CA, Stombaugh JI, Gordon JI, Jansson JK, Knight R (2012) Diversity, stability and resilience of the human gut microbiota. Nature 489(7415):220. https://doi.org/10.1038/NATURE11550
Lu L, Zhang J, **e Y, Gao F, Xu S, Wu X, Ye Z (2020) Wearable health devices in health care: narrative systematic review. JMIR MHealth UHealth 8(11). http://doi.org/10.2196/18907
Mahmoud AM (2022) An overview of epigenetics in obesity: the role of lifestyle and therapeutic interventions. Int J Mol Sci 23(3). http://doi.org/10.3390/IJMS23031341
Manolio TA, Collins FS, Cox NJ, Goldstein DB, Hindorff LA, Hunter DJ, McCarthy MI, Ramos EM, Cardon LR, Chakravarti A, Cho JH, Guttmacher AE, Kong A, Kruglyak L, Mardis E, Rotimi CN, Slatkin M, Valle D, Whittemore AS et al (2009) Finding the missing heritability of complex diseases. Nature 461(7265):747–753. http://doi.org/10.1038/nature08494
Márquez-Quiñones A, Mutch DM, Debard C, Wang P, Combes M, Roussel B, Holst C, Martinez JA, Handjieva-Darlenska T, Kalouskova P, Jebb S, Babalis D, Pfeiffer AFH, Larsen TM, Astrup A, Saris WHM, Mariman E, Clément K, Vidal H et al (2010) Adipose tissue transcriptome reflects variations between subjects with continued weight loss and subjects regaining weight 6 mo after caloric restriction independent of energy intake. Am J Clin Nutr 92(4):975–984. http://doi.org/10.3945/AJCN.2010.29808
Martin GM (2005) Epigenetic drift in aging identical twins. Proc Natl Acad Sci U S A 102(30):10413–10414. https://doi.org/10.1073/pnas.0504743102
Martin AM, Sun EW, Rogers GB, Keating DJ (2019) The influence of the gut microbiome on host metabolism through the regulation of gut hormone release. Front Physiol 10:428. http://doi.org/10.3389/FPHYS.2019.00428/BIBTEX
Mazzoli R, Pessione E (2016) The neuro-endocrinological role of microbial glutamate and GABA signaling. Front Microbiol 7:1934. http://doi.org/10.3389/FMICB.2016.01934/BIBTEX
McGregor RA, Seo DY (2016) miRNAs as nutritional targets in aging. In: Molecular basis of nutrition and aging: a volume in the molecular nutrition series. Elsevier Inc., pp 277–291. http://doi.org/10.1016/B978-0-12-801816-3.00021-2
McOrist AL, Miller RB, Bird AR, Keogh JB, Noakes M, Top** DL, Conlon MA (2011) Fecal butyrate levels vary widely among individuals but are usually increased by a diet high in resistant starch. J Nutr 141(5):883–889. https://doi.org/10.3945/JN.110.128504
Melzer D, Pilling LC, Ferrucci L (2020) The genetics of human ageing. Nat Rev Genet 21(2):88–101. https://doi.org/10.1038/S41576-019-0183-6
Menzel PT (2012) Justice and fairness: a critical element in U.S. health system reform. J Law Med Ethics 40(3):582–597. http://doi.org/10.1111/J.1748-720X.2012.00691.X
Ming DK, Sangkaew S, Chanh HQ, Nhat PTH, Yacoub S, Georgiou P, Holmes AH (2020) Continuous physiological monitoring using wearable technology to inform individual management of infectious diseases, public health and outbreak responses. Int J Infect Dis 96:648. https://doi.org/10.1016/J.IJID.2020.05.086
Modrackova N, Copova I, Stovicek A, Makovska M, Schierova D, Mrazek J, Sabolova M, Vlkova E, Hradsky O, Bronsky J, Nevoral J, Neuzil-Bunesova V (2021) Microbial shifts of faecal microbiota using enteral nutrition in vitro. J Funct Foods 77:104330. https://doi.org/10.1016/J.JFF.2020.104330
Molina-Serrano D, Kyriakou D, Kirmizis A (2019) Histone modifications as an intersection between diet and longevity. Front Genet 10. http://doi.org/10.3389/FGENE.2019a.00192
Moradi Sarabi M, Zahedi SA, Pajouhi N, Khosravi P, Bagheri S, Ahmadvand H, Shahryarhesami S (2018) The effects of dietary polyunsaturated fatty acids on miR-126 promoter DNA methylation status and VEGF protein expression in the colorectal cancer cells. Genes Nutr 13(1). http://doi.org/10.1186/S12263-018-0623-5
Morris BJ (2013) Seven sirtuins for seven deadly diseases of aging. Free Radical Biol Med 56:133–171. https://doi.org/10.1016/j.freeradbiomed.2012.10.525
Morris BJ, Willcox BJ, Donlon TA (2019) Genetic and epigenetic regulation of human aging and longevity. Biochim Biophys Acta (BBA) Mol Basis Dis 1865(7):1718–1744. http://doi.org/10.1016/J.BBADIS.2018.08.039
Muñoz-Najar U, Sedivy JM (2011) Epigenetic control of aging. In: Antioxidants and redox signaling, vol 14, Issue 2, pp 241–259. http://doi.org/10.1089/ars.2010.3250
Mutch DM, Temanni MR, Henegar C, Combes F, Pelloux V, Holst C, Sørensen TIA, Astrup A, Martinez JA, Saris WHM, Viguerie N, Langin D, Zucker JD, Clément K (2007) Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. PLoS ONE 2(12). http://doi.org/10.1371/JOURNAL.PONE.0001344
Mutch DM, Pers TH, Temanni MR, Pelloux V, Marquez-Quinõnes A, Holst C, Martinez JA, Babalis D, van Baak MA, Handjieva-Darlenska T, Walker CG, Astrup A, Saris WHM, Langin D, Viguerie N, Zucker JD, Cleḿent K (2011) A distinct adipose tissue gene expression response to caloric restriction predicts 6-mo weight maintenance in obese subjects. Am J Clin Nutr 94(6):1399–1409. https://doi.org/10.3945/AJCN.110.006858
Nebbioso A, Tambaro FP, Dell’Aversana C, Altucci L (2018) Cancer epigenetics: moving forward. PLOS GEnet 14(6):e1007362. https://doi.org/10.1371/JOURNAL.PGEN.1007362
Nicholson JK, Holmes E, Kinross J, Burcelin R, Gibson G, Jia W, Pettersson S (2012) Host-gut microbiota metabolic interactions. Science (New York, N.Y.) 336(6086):1262–1267. http://doi.org/10.1126/SCIENCE.1223813
Olafuyi O, Parekh N, Wright J, Koenig J (2021) Inter-ethnic differences in pharmacokinetics—is there more that unites than divides? Pharmacol Res Perspect 9(6):e00890. https://doi.org/10.1002/PRP2.890
Olshansky SJ (2018) From lifespan to healthspan. JAMA 320(13):1323–1324. https://doi.org/10.1001/jama.2018.12621
Ordovas JM, Ferguson LR, Tai ES, Mathers JC (2018) Personalised nutrition and health. BMJ 361. https://doi.org/10.1136/BMJ.K2173
O’Sullivan RJ, Karlseder J (2012) The great unravelling: chromatin as a modulator of the aging process. Trends Biochem Sci 37(11):466–476. http://doi.org/10.1016/j.tibs.2012.08.001
Padin AC, Hébert JR, Woody A, Wilson SJ, Shivappa N, Belury MA, Malarkey WB, Sheridan JF, Kiecolt-Glaser JK (2019) A proinflammatory diet is associated with inflammatory gene expression among healthy, non-obese adults: can social ties protect against the risks? Brain Behav Immun 82:36. https://doi.org/10.1016/J.BBI.2019.07.031
Pal S, Tyler JK (2016b) Epigenetics and aging. Sci Adv 2(7). http://doi.org/10.1126/sciadv.1600584
Palacín‐aliana I, García‐romero N, Asensi‐puig A, Carrión‐navarro J, González‐rumayor V, Ayuso‐sacido Á (2021) Clinical utility of liquid biopsy-based actionable mutations detected via ddPCR. Biomedicines 9(8). http://doi.org/10.3390/BIOMEDICINES9080906
Palmnäs M, Brunius C, Shi L, Rostgaard-Hansen A, Torres NE, González-Domínguez R, Zamora-Ros R, Ye YL, Halkjær J, Tjønneland A, Riccardi G, Giacco R, Costabile G, Vetrani C, Nielsen J, Andres-Lacueva C, Landberg R (2020) Perspective: metaboty**—a potential personalized nutrition strategy for precision prevention of cardiometabolic disease. Adv Nutr 11(3):524–532. https://doi.org/10.1093/ADVANCES/NMZ121
Panchal SK, Brown L (2020) DNA methylation in adipose tissue and metabolic syndrome. J Clin Med 9(9):1–4. https://doi.org/10.3390/JCM9092699
Panzeri I, Pospisilik JA (2018) Epigenetic control of variation and stochasticity in metabolic disease. Mol Metab 14:26–38. https://doi.org/10.1016/J.MOLMET.2018.05.010
Pokorska-Bocci A, Stewart A, Sagoo GS, Hall A, Kroese M, Burton H (2014) “Personalized medicine”: what’s in a name? Pers Med 11(2):197–210. https://doi.org/10.2217/PME.13.107/ASSET/IMAGES/LARGE/FIGURE2.JPEG
Poulsen P, Esteller M, Vaag A, Fraga MF (2007) The epigenetic basis of twin discordance in age-related diseases. Pediatr Res 61:38R–42R. Retrieved March 25, 2020, from https://www.google.com/search?q=P.+Poulsen%25252C+M.+Esteller%25252C+A.+Vaag%25252C+M.+F.+Fraga%25252C+The+epigenetic+basis+of+twin+discordance+in+age-related+diseases.+Pediatr.+Res.+61%25252C+38R-42R+(2007).&rlz=1C1CHBF_deAT866AT867&oq=P.+Poulsen%25252C+M.+Esteller%25
Randhawa V, Kumar M (2021) Analysis of aging-related protein interactome and cross-network module comparisons across tissues provide new insights into aging. Comput Biol Chem 92. https://doi.org/10.1016/J.COMPBIOLCHEM.2021.107506
Reinders MJ, Bouwman EP, van den Puttelaar J, Verain MCD (2020) Consumer acceptance of personalised nutrition: the role of ambivalent feelings and eating context. PLoS ONE 15(4). http://doi.org/10.1371/JOURNAL.PONE.0231342
Ren C, An G, Zhao C, Ouyang Z, Bo X, Shu W (2018) Lnc2Catlas: an atlas of long noncoding RNAs associated with risk of cancers. Sci Rep 8(1):1–8. https://doi.org/10.1038/s41598-018-20232-4
Riedl A, Wawro N, Gieger C, Meisinger C, Peters A, Rathmann W, Koenig W, Strauch K, Quante AS, Thorand B, Huth C, Daniel H, Hauner H, Linseisen J (2020) Modifying effect of metabotype on diet-diabetes associations. Eur J Nutr 59(4):1357–1369. https://doi.org/10.1007/S00394-019-01988-5
Riggs AD, Porter TN (1996) Overview of epigenetic mechanisms. Cold Spring Harb Monogr Arch 32:29–45. https://doi.org/10.1101/0.29-45
Rist MJ, Roth A, Frommherz L, Weinert CH, Krüger R, Merz B, Bunzel D, Mack C, Egert B, Bub A, Görling B, Tzvetkova P, Luy B, Hoffmann I, Kulling SE, Watzl B (2017) Metabolite patterns predicting sex and age in participants of the Karlsruhe Metabolomics and Nutrition (KarMeN) study. PLoS One 12(8). http://doi.org/10.1371/JOURNAL.PONE.0183228
Ruhl GL, Hazel JW, Clayton EW, Malin BA (2019) Public attitudes toward direct to consumer genetic testing. In: AMIA annual symposium proceedings, p 774. /pmc/articles/PMC7153088/
Salonen A (2014) Impact of diet and individual variation on intestinal microbiota composition and fermentation products in obese men. ISME J 8:2218–2230
Samblas M, Milagro FI, Gómez-Abellán P, Martínez JA, Garaulet M (2016) Methylation on the circadian gene BMAL1 is associated with the effects of a weight loss intervention on serum lipid levels. J Biol Rhythms 31(3):308–317. https://doi.org/10.1177/0748730416629247
Samblas M, Milagro FI, Martínez A (2019) DNA methylation markers in obesity, metabolic syndrome, and weight loss. Epigenetics 14(5):421. https://doi.org/10.1080/15592294.2019.1595297
Sargent M (2010) Why twins age differently. Nature 464(7292):1130–1131. https://doi.org/10.1038/4641130a
Sato Y, Nagasaki M, Nakai N, Fushimi T (2003) Physical exercise improves glucose metabolism in lifestyle-related diseases. Exp Biol Med 228(10):1208–1212. https://doi.org/10.1177/153537020322801017
She J, Wong CC, Yu J (2021) Targeted prebiotics alter the obese gut microbiome in humans. Signal Transduct Targeted Ther 6(1):1–2. http://doi.org/10.1038/s41392-021-00758-2
Shigeyasu K, Toden S, Zumwalt TJ, Okugawa Y, Goel A (2017) Emerging role of microRNAs as liquid biopsy biomarkers in gastrointestinal cancers. https://doi.org/10.1158/1078-0432.CCR-16-1676
Shin J, Noh JR, Choe D, Lee N, Song Y, Cho S, Kang EJ, Go MJ, Ha SK, Chang DH, Kim JH, Kim YH, Kim KS, Jung H, Kim MH, Sung BH, Lee SG, Lee DH, Kim BC et al (2021) Ageing and rejuvenation models reveal changes in key microbial communities associated with healthy ageing. Microbiome 9(1):1–19. http://doi.org/10.1186/S40168-021-01189-5/FIGURES/6
Shulpekova Y, Shirokova E, Zharkova M, Tkachenko P, Tikhonov I, Stepanov A, Sinitsyna A, Izotov A, Butkova T, Shulpekova N, Nechaev V, Damulin I, Okhlobystin A, Ivashkin V (2022) A recent ten-year perspective: bile acid metabolism and signaling. Molecules 27(6):1983. http://doi.org/10.3390/MOLECULES27061983
Sidler C, Kovalchuk O, Kovalchuk I (2017) Epigenetic regulation of cellular senescence and aging. Front Genet 8. http://doi.org/10.3389/FGENE.2017.00138
Silva YP, Bernardi A, Frozza RL (2020) The role of short-chain fatty acids from gut microbiota in gut-brain communication. Front Endocrinol 11:25. https://doi.org/10.3389/FENDO.2020.00025
Simpson HL, Campbell BJ (2015) Review article: dietary fibre–microbiota interactions. Aliment Pharmacol Ther 42(2):158. https://doi.org/10.1111/APT.13248
Skinner MK (2015) Environmental epigenetics and a unified theory of the molecular aspects of evolution: a neo-Lamarckian concept that facilitates neo-Darwinian evolution. Genome Biol Evol 7(5):1296–1302. https://doi.org/10.1093/GBE/EVV073
Snow A, Chen D, Lang JE (2019) The current status of the clinical utility of liquid biopsies in cancer. Expert Rev Mol Diagn 19(11):1031. https://doi.org/10.1080/14737159.2019.1664290
Soriano-Tárraga C, Jiménez-Conde J, Roquer J (2019) Epigenetics and aging. In: Handbook of nutrition, diet, and epigenetics, vol 2, pp 1413–1433. https://doi.org/10.1007/978-3-319-55530-0_123
Stromsnes K, Correas AG, Lehmann J, Gambini J, Olaso‐gonzalez G (2021) Anti-inflammatory properties of diet: role in healthy aging. Biomedicines 9(8):922. http://doi.org/10.3390/BIOMEDICINES9080922
Szafranski K, Abraham KJ, Mekhail K (2015) Non-coding RNA in neural function, disease, and aging. Front Genet 6. http://doi.org/10.3389/fgene.2015.00087
Szakály Z, Kovács B, Szakály M, T Nagy-Pető D, Popovics P, Kiss M (2021) Consumer acceptance of genetic-based personalized nutrition in Hungary. Genes Nutr 16(1). http://doi.org/10.1186/S12263-021-00683-7
Szczyrek M, Bitkowska P, Chunowski P, Czuchryta P, Krawczyk P, Milanowski J (2021) Diet, Microbiome, and cancer immunotherapy—a comprehensive review. Nutrients 13(7):2217. http://doi.org/10.3390/NU13072217
Tiffon C (2018) The impact of nutrition and environmental epigenetics on human health and disease. Int J Mol Sci 19(11). http://doi.org/10.3390/IJMS19113425
Tollefsbol TO (2014) Dietary epigenetics in cancer and aging. Cancer Treat Res 159:257–267. https://doi.org/10.1007/978-3-642-38007-5_15
Toomey S, Eustace AJ, Pritzker LB, Pritzker KPH, Fay J, O’Grady A, Cummins R, Grogan L, Kennedy J, O’Connor D, Young L, Kay EW, O’Donovan N, Gallagher WM, Kalachand R, Crown J, Hennessy BT (2016) RE: RNA disruption assay as a biomarker of pathological complete response in Neoadjuvant Trastuzumab-treated human epidermal growth factor receptor 2-positive breast cancer. J Natl Cancer Inst 108(8):7–8. https://doi.org/10.1093/jnci/djw111
Topart C, Werner E, Arimondo PB (2020) Wandering along the epigenetic timeline. Clin Epigenetics 12(1):1–13. https://doi.org/10.1186/S13148-020-00893-7/TABLES/1
van der Lans IA et al (2016) Willingness to pay for personalised nutrition across Europe.http://doi.org/10.1093/eurpub/ckw045
Vijayan V, Connolly J, Condell J, McKelvey N, Gardiner P (2021) Review of wearable devices and data collection considerations for connected health. Sensors 21(16):5589. http://doi.org/10.3390/S21165589
Vinke PC, el Aidy S, van Dijk G (2017) The role of supplemental complex dietary carbohydrates and gut microbiota in promoting cardiometabolic and immunological health in obesity: lessons from healthy non-obese individuals. Front Nutr 4:34. https://doi.org/10.3389/FNUT.2017.00034
Wagner W (2019) The link between epigenetic clocks for aging and senescence. Front Genet 10:303. http://doi.org/10.3389/fgene.2019.00303
Wang DD, Hu FB (2018) Precision nutrition for prevention and management of type 2 diabetes. Lancet Diab Endocrinol 6(5):416–426. https://doi.org/10.1016/S2213-8587(18)30037-8
Wang J, Guleria S, Koffas MAG, Yan Y (2016) Microbial production of value-added nutraceuticals. Curr Opin Biotechnol 37:97–104. http://doi.org/10.1016/j.copbio.2015.11.003
West CE, Renz H, Jenmalm MC, Kozyrskyj AL, Allen KJ, Vuillermin P, Prescott SL (2015) The gut microbiota and inflammatory noncommunicable diseases: associations and potentials for gut microbiota therapies. J Allergy Clin Immunol 135(1):3–13. https://doi.org/10.1016/J.JACI.2014.11.012
Williams J, Smith F, Kumar S, Vijayan M, Reddy PH (2017) Are microRNAs true sensors of ageing and cellular senescence? Ageing Res Rev 35:350–363. http://doi.org/10.1016/j.arr.2016.11.008
Wilmanski T, Diener C, Rappaport N, Patwardhan S, Wiedrick J, Lapidus J, Earls JC, Zimmer A, Glusman G, Robinson M, Yurkovich JT, Kado DM, Cauley JA, Zmuda J, Lane NE, Magis AT, Lovejoy JC, Hood L, Gibbons SM et al (2021) Gut microbiome pattern reflects healthy aging and predicts survival in humans. Nat Metab 3(2):274. http://doi.org/10.1038/S42255-021-00348-0
Wilson KL (2005) Integrity matters: linking nuclear architecture to lifespan. Proc Natl Acad Sci U S A 102(52):18767–18768. https://doi.org/10.1073/pnas.0509224102
Wolever TM, Fernandes J, Rao AV (1996) Serum acetate: propionate ratio is related to serum cholesterol in men but not women. J Nutr 126:2790–2797. https://academic.oup.com/jn/article/126/11/2790/4724669
Wolters M, Ahrens J, Romaní-Pérez M, Watkins C, Sanz Y, Benítez-Páez A, Stanton C, Günther K (2019) Dietary fat, the gut microbiota, and metabolic health—a systematic review conducted within the MyNewGut project. Clin Nutr (edinburgh, Scotland) 38(6):2504–2520. https://doi.org/10.1016/J.CLNU.2018.12.024
Woodcox A (2018) Aristotle’s theory of aging. Cahiers Des Études Anciennes, LV
**ao FH, Wang HT, Kong QP (2019) Dynamic DNA methylation during aging: a “prophet” of age-related outcomes. Front Genet 10. http://doi.org/10.3389/fgene.2019.00107
Yeoh YK, Chen Z, Hui M, Wong MCS, Ho WCS, Chin ML, Ng SC, Chan FKL, Chan PKS (2019) Impact of inter- and intra-individual variation, sample storage and sampling fraction on human stool microbial community profiles. PeerJ (1). http://doi.org/10.7717/PEERJ.6172/SUPP-6
Yin J, Ren W, Chen S, Li Y, Han H, Gao J, Liu G, Wu X, Li T, Woo Kim S, Yin Y (2018) Metabolic regulation of methionine restriction in diabetes. Mol Nutr Food Res 62(10):1700951. https://doi.org/10.1002/MNFR.201700951
Youngid AI (2019) Solving the missing heritability problem. https://doi.org/10.1371/journal.pgen.1008222
Zeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, Suez J, Mahdi JA, Matot E, Malka G, Kosower N, Rein M, Zilberman-Schapira G, Dohnalová L, Pevsner-Fischer M, Bikovsky R, Halpern Z, Elinav E, Segal E (2015) Personalized nutrition by prediction of glycemic responses. Cell 163(5):1079–1094. https://doi.org/10.1016/j.cell.2015.11.001. PMID: 26590418
Zhang F, Gigout S, Liu Y, Wang Y, Hao H, Buckley NJ, Zhang H, Wood IC, Gamper N (2019) Repressor element 1-silencing transcription factor drives the development of chronic pain states. Pain 160(10):2398–2408. https://doi.org/10.1097/J.PAIN.0000000000001633
Zuk O, Hechter E, Sunyaev SR, Lander ES (2012) The mystery of missing heritability: genetic interactions create phantom heritability. Proc Natl Acad Sci U S A 109(4):1193–1198. https://doi.org/10.1073/PNAS.1119675109/SUPPL_FILE/SAPP.PDF
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Pointner, A., Haslberger, A.G. (2022). Personalized Nutrition for Healthy Aging, A Review. In: Haslberger, A.G. (eds) Advances in Precision Nutrition, Personalization and Healthy Aging. Springer, Cham. https://doi.org/10.1007/978-3-031-10153-3_5
Download citation
DOI: https://doi.org/10.1007/978-3-031-10153-3_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-10152-6
Online ISBN: 978-3-031-10153-3
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)