Diet–Gene Interactions Across the Female Hormonal Cycle: Implications for Personalized Nutrition

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Amber Tehseen
Kainat Ijaz
Rania Faryan Yousaf
Malaika Amjad
Haleema Qadir
Abida Liaquat
Nimra Ather
Iqra
Anum Nazir

Abstract

Background: Personalized nutrition increasingly recognizes that dietary response varies between individuals, yet sex-specific physiology and the cyclical hormonal environment of women remain underaddressed, leaving a gap in understanding how the menstrual cycle shapes nutrient metabolism and gene expression. Objective: This narrative review evaluates current evidence on diet–gene interactions across the female hormonal cycle and appraises its implications for personalized nutrition in women of reproductive and menopausal age. Methods: Literature was identified through a structured, systematic-style search of PubMed, Scopus, Web of Science, and Google Scholar, combining terms for personalized nutrition, the female hormonal cycle, and associated disorders; from 946 records identified and 800 screened after de-duplication, 96 sources informed a thematic qualitative synthesis, without formal risk-of-bias appraisal. Results: Estrogen- and progesterone-driven phase transitions modulate insulin sensitivity, substrate use, appetite, and inflammation, interacting with polymorphisms in FTO, VDR, MTHFR, ESR1/ESR2, PPAR-γ, and COMT to influence nutrient metabolism and disease risk; the estrogen-dominant follicular phase favours carbohydrate-oriented metabolism and the luteal phase lipid oxidation and relative insulin resistance. Nutrigenomic evidence is most developed for polyendocrine metabolic ovarian syndrome, whereas epigenetic and gut-microbiome mechanisms across premenstrual syndrome, endometriosis, and menopause remain the principal evidence gaps. Conclusion: Cycle-aware, genotype-informed dietary strategies show promise for improving metabolic and reproductive health, but current evidence is largely associative and non-representative; longitudinal, diverse, multi-omics research is needed to enable equitable, evidence-based personalized nutrition for women

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1.
Amber Tehseen, Kainat Ijaz, Rania Faryan Yousaf, Malaika Amjad, Haleema Qadir, Abida Liaquat, et al. Diet–Gene Interactions Across the Female Hormonal Cycle: Implications for Personalized Nutrition. JHWCR [Internet]. 2026 Mar. 26 [cited 2026 Jul. 27];4(6):1-15. Available from: https://jhwcr.com/index.php/jhwcr/article/view/1929

References

1. Shakoor A, Kashani SA, Durbakht KB, Bibi A. A recent review on nutrigenetics and nutrigenomics: current approaches and future endeavors. Contemp J Soc Sci Rev. 2024;2(4):1205-23.

2. Kohil A, Chouliaras S, Alabduljabbar S, Lakshmanan AP, Ahmed SH, Awwad J, et al. Female infertility and diet, is there a role for a personalized nutritional approach in assisted reproductive technologies? A narrative review. Front Nutr. 2022;9:927972.

3. Lagoumintzis G, Afratis NA, Patrinos GP. Nutrigenomics and personalized nutrition: advancing basic, clinical, and translational research. Front Nutr. 2024;11:1435475.

4. Aljasir S, Eid NM, Volpi EV, Tewfik I. Nutrigenomics-guided lifestyle intervention programmes: a critical scoping review with directions for future research. Clin Nutr ESPEN. 2024;64:296-306.

5. Nourazarain A, Vaziri Y. Nutrigenomics meets multi-omics: integrating genetic, metabolic, and microbiome data for personalized nutrition strategies. Genes Nutr. 2025;20(1):30.

6. de Toro-Martín J, 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.

7. Elliott-Sale KJ, Minahan CL, de Jonge XAKJ, Ackerman KE, Sipilä S, Constantini NW, et al. Methodological considerations for studies in sport and exercise science with women as participants: a working guide for standards of practice for research on women. Sports Med. 2021;51(5):843-61.

8. Sims ST, Heather AK. Myths and methodologies: reducing scientific design ambiguity in studies comparing sexes and/or menstrual cycle phases. Exp Physiol. 2018;103(10):1309-17.

9. Fabozzi G, Verdone G, Allori M, Cimadomo D, Tatone C, Stuppia L, et al. Personalized nutrition in the management of female infertility: new insights on chronic low-grade inflammation. Nutrients. 2022;14(9):1918.

10. Donovan SM, Abrahams M, Anthony JC, Bao Y, Barragan M, Bermingham KM, et al. Personalized nutrition: perspectives on challenges, opportunities, and guiding principles for data use and fusion. Crit Rev Food Sci Nutr. 2025;65(30):7151-69.

11. Ordovas JM, Ferguson LR, Tai ES, Mathers JC. Personalised nutrition and health. BMJ. 2018;361:bmj.k2173.

12. Zeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, et al. Personalized nutrition by prediction of glycemic responses. Cell. 2015;163(5):1079-94.

13. Celis-Morales C, Livingstone KM, Marsaux CFM, Macready AL, Fallaize R, O'Donovan CB, et al. Effect of personalized nutrition on health-related behaviour change: evidence from the Food4Me European randomized controlled trial. Int J Epidemiol. 2017;46(2):578-88.

14. García-Montero C, de Castro-Martínez P, Liviu Boaru D, Ortega MA, Fraile-Martínez Ó. An overview of the impact of the menstrual cycle on nutrient metabolism: an integrative perspective. Nutrients. 2026;18(7):1063.

15. Natalucci V, Spinello G, Moro T, Pavei G, Boccia G, La Torre A, et al. Menstrual cycle and hormonal contraceptives in female athletes: should symptoms and nutrition matter more than cycle phase? A narrative review. Nutrients. 2026;18(7):1144.

16. Oboza P, Ogarek N, Wójtowicz M, Rhaiem TB, Olszanecka-Glinianowicz M, Kocełak P. Relationships between premenstrual syndrome (PMS) and diet composition, dietary patterns and eating behaviors. Nutrients. 2024;16(12):1911.

17. Goulet V, Léveillé D, Li J, Fisette A. Neuroendocrine crosstalk between sex and metabolic hormones: mechanisms and implications across the female reproductive spectrum. Discov Endocrinol Metab. 2026;2(1):1.

18. Eaton SA, Sethi JK. Immunometabolic links between estrogen, adipose tissue and female reproductive metabolism. Biology (Basel). 2019;8(1):8.

19. Ahluwalia MK. Nutrigenetics and nutrigenomics, a personalized approach to nutrition. Adv Genet. 2021;108:277-340.

20. Keathley J, Garneau V, Zavala-Mora D, Heister RR, Gauthier E, Morin-Bernier J, et al. A systematic review and recommendations around frameworks for evaluating scientific validity in nutritional genomics. Front Nutr. 2021;8:789215.

21. Scholtes C, Giguère V. Transcriptional control of energy metabolism by nuclear receptors. Nat Rev Mol Cell Biol. 2022;23(11):750-70.

22. Lal MK, Sharma E, Tiwari RK, Devi R, Mishra UN, Thakur R, et al. Nutrient-mediated perception and signalling in human metabolism: a perspective of nutrigenomics. Int J Mol Sci. 2022;23(19):11305.

23. Lagoumintzis G, Patrinos GP. Triangulating nutrigenomics, metabolomics and microbiomics toward personalized nutrition and healthy living. Hum Genomics. 2023;17(1):109.

24. Loos RJF, Yeo GSH. The genetics of obesity: from discovery to biology. Nat Rev Genet. 2022;23(2):120-33.

25. Minihane AM, Jofre-Monseny L, Olano-Martin E, Rimbach G. ApoE genotype, cardiovascular risk and responsiveness to dietary fat manipulation. Proc Nutr Soc. 2007;66(2):183-97.

26. Grant SFA, Thorleifsson G, Reynisdottir I, Benediktsson R, Manolescu A, Sainz J, et al. Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes. Nat Genet. 2006;38(3):320-3.

27. Luan J, Browne PO, Harding AH, Halsall DJ, O'Rahilly S, Chatterjee VKK, et al. Evidence for gene-nutrient interaction at the PPARγ locus. Diabetes. 2001;50(3):686-9.

28. Chauhan GK, Medithi S. Polymorphisms of the vitamin D receptor (VDR) gene: a possible trigger for the onset of obesity, type 2 diabetes mellitus and other metabolic syndromes. Gene Rep. 2021;24:101224.

29. Qahtan F, Abu-Qiyas S, Papandreou D. Genetic and epigenetic determinants of vitamin D metabolism: nutrigenomic insights for precision nutrition. Front Nutr. 2026;13:1772849.

30. Araszkiewicz AF, Jańczak K, Wójcik P, Białecki B, Kubiak S, Szczechowski M, et al. MTHFR gene polymorphisms: a single gene with wide-ranging clinical implications, a review. Genes (Basel). 2025;16(4):441.

31. Li Y, Huang F, Qian X, Liu C, Yao Y, Wang Z, et al. Exploring the anti-aging potential of phytoestrogens: focus on molecular mechanisms and menopausal symptom modulation. Front Nutr. 2025;12:1651367.

32. Serretti A, Kato M, De Ronchi D, Kinoshita T. Meta-analysis of serotonin transporter gene promoter polymorphism (5-HTTLPR) association with selective serotonin reuptake inhibitor efficacy in depressed patients. Mol Psychiatry. 2007;12(3):247-57.

33. Ahmadi AR, Shirani F, Abiri B, Siavash M, Haghighi S, Akbari M. Impact of omega-3 fatty acids supplementation on the gene expression of PPARγ, α and FGF-21 serum levels in patients with various presentation of metabolic conditions: a systematic review and dose–response meta-analysis. Front Nutr. 2023;10:1150221.

34. Loos RJF, Yeo GSH. The bigger picture of FTO, the first GWAS-identified obesity gene. Nat Rev Endocrinol. 2014;10(1):51-61.

35. Evans C, Curtis J, Antonio J. FTO and anthropometrics: the role of modifiable factors. J Funct Morphol Kinesiol. 2022;7(4):90.

36. Heidarzadehpilehrood R, Hamid HA, Pirhoushiaran M. Vitamin D receptor (VDR) gene polymorphisms and risk for polycystic ovary syndrome and infertility: an updated systematic review and meta-analysis. Metabol Open. 2025;25:100343.

37. Moradkhani A, Azami M, Assadi S, Ghaderi M, Azarnezhad A, Moradi Y. Association of vitamin D receptor genetic polymorphisms with the risk of infertility: a systematic review and meta-analysis. BMC Pregnancy Childbirth. 2024;24(1):398.

38. Carboni L. Active folate versus folic acid: the role of 5-MTHF (methylfolate) in human health. Integr Med (Encinitas). 2022;21(3):36-41.

39. Raghubeer S, Matsha TE. Methylenetetrahydrofolate (MTHFR), the one-carbon cycle, and cardiovascular risks. Nutrients. 2021;13(12):4562.

40. Ahmadi AR, Shirani F, Abiri B, Siavash M, Haghighi S, Akbari M. Impact of omega-3 fatty acids supplementation on PPAR-γ and FGF-21: a systematic review. Front Nutr. 2023;10:1150221.

41. Goul C, Peruzzo R, Zoncu R. The molecular basis of nutrient sensing and signalling by mTORC1 in metabolism regulation and disease. Nat Rev Mol Cell Biol. 2023;24(12):857-75.

42. Janacova L, Stenckova M, Lapcik P, Hrachovinova S, Bouchalova P, Potesil D, et al. Catechol-O-methyltransferase suppresses cell invasion and interplays with MET signaling in estrogen-dependent breast cancer. Sci Rep. 2023;13(1):1285.

43. Feskens EJM, Bailey R, Bhutta Z, Biesalski HK, Eicher-Miller H, Kraemer K, et al. Women's health: optimal nutrition throughout the lifecycle. Eur J Nutr. 2022;61(Suppl 1):1-23.

44. Rehrer NJ, McLay-Cooke RT, Sims ST. Nutritional strategies and sex hormone interactions in women. In: Sex hormones, exercise and women: scientific and clinical aspects. Cham: Springer; 2023. p. 259-301.

45. Rogan MM, Black KE. Dietary energy intake across the menstrual cycle: a narrative review. Nutr Rev. 2023;81(7):869-86.

46. Maury-Sintjago E, Rodríguez-Fernández A, Parra-Flores J, Ruíz-De la Fuente M. Obese women have a high carbohydrate intake without changes in the resting metabolic rate in the luteal phase. Nutrients. 2022;14(10):1997.

47. Yang T, Zhao J, Liu F, Li Y. Lipid metabolism and endometrial receptivity. Hum Reprod Update. 2022;28(6):858-89.

48. Zhang D, Wei Y, Huang Q, Chen Y, Zeng K, Yang W, et al. Important hormones regulating lipid metabolism. Molecules. 2022;27(20):7052.

49. Motlani V, Motlani G, Pamnani S, Sahu A, Acharya N. Endocrine changes in postmenopausal women: a comprehensive view. Cureus. 2023;15(12):e51287.

50. Munro MG. Heavy menstrual bleeding, iron deficiency, and iron deficiency anemia: framing the issue. Int J Gynaecol Obstet. 2023;162(Suppl 2):7-13.

51. Alfaro-Magallanes VM, Barba-Moreno L, Romero-Parra N, Rael B, Benito PJ, Swinkels DW, et al. Menstrual cycle affects iron homeostasis and hepcidin following interval running exercise in endurance-trained women. Eur J Appl Physiol. 2022;122(12):2683-94.

52. Duman HK, Arslan M. The relationship between macro-micro nutrients and physical activity and premenstrual syndrome. Genel Saglik Bilimleri Derg. 2024;6(3):528-46.

53. Sadeghi F, Javid AZ, Nazarinasab M, Haghighi-Zadeh MH. Effects of PMS50 supplementation on psychological symptoms of students with premenstrual syndrome. Int J Gynaecol Obstet. 2022;156(2):247-55.

54. Ilcioglu K, Bayraktar BNY, Kayacık AD. The effect of calcium on premenstrual syndrome: a meta-analysis study. J Clin Med Kaz. 2025;22(1):42-8.

55. Acharya A, Shetty SS. Role of gut microbiota derived short chain fatty acid metabolites in modulating female reproductive health. Hum Nutr Metab. 2024;36:200256.

56. Marchiori GN, Eynard AR, Soria EA. Essential fatty acids along the women's life cycle and promotion of a well-balanced metabolism. Curr Womens Health Rev. 2024;20(6):53-74.

57. Ahmed A, Saleem MA, Saeed F, Afzaal M, Imran A, Akram S, et al. A comprehensive review on the impact of calcium and vitamin D insufficiency and allied metabolic disorders in females. Food Sci Nutr. 2023;11(9):5004-27.

58. Cross TWL, Simpson AM, Lin CY, Hottmann NM, Bhatt AP, Pellock SJ, et al. Gut microbiome responds to alteration in female sex hormone status and exacerbates metabolic dysfunction. Gut Microbes. 2024;16(1):2295429.

59. Schieren A, Koch S, Pecht T, Simon MC. Impact of physiological fluctuations of sex hormones during the menstrual cycle on glucose metabolism and the gut microbiota. Exp Clin Endocrinol Diabetes. 2024;132(5):267-78.

60. Kumari N, Kumari R, Dua A, Singh M, Kumar R, Singh P, et al. From gut to hormones: unraveling the role of gut microbiota in (phyto)estrogen modulation in health and disease. Mol Nutr Food Res. 2024;68(6):2300688.

61. Walton SD, Abais-Battad JM. Dissecting the interplay between estrogen- and diet-induced obesity on the gut microbiota. Physiol Genomics. 2026;58(4):179-80.

62. Moustakli E, Stavros S, Katopodis P, Potiris A, Drakakis P, Dafopoulos S, et al. Gut microbiome dysbiosis and its impact on reproductive health: mechanisms and clinical applications. Metabolites. 2025;15(6):390.

63. Bhavaraju A, Tambatkar K, Singh S, Prasad V, Lalitha S. Phase-specific dietary guidance through predictive modeling of menstrual phases. In: Proceedings of the International Conference on Signal Processing and Integrated Networks. Cham: Springer; 2025.

64. Logapriya E, Surendran R. Knowledge based health nutrition recommendations during the menstrual cycle. In: 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). IEEE; 2023.

65. Oldfield AL, Carter FE, Reeves RE, Jarrett BY, Vanden Brink H, Lujan ME. Impact of a hypocaloric dietary intervention on antral follicle dynamics in eumenorrheic women with obesity. Hum Reprod. 2024;39(4):801-11.

66. Meneghesso BR, Constâncio GR, Rinaldi MM, e Silva NF, Dalmaso PT, Marcello VZ. Evaluation of premenstrual syndrome and its relationship with changes in food consumption during the luteal phase: a prospective observational cross-sectional study. Int J Nutrol. 2022;15(3):1-8.

67. Lima FS, Moreira A, Prado RCR, de Carvalho-Ferreira JP, de Rosso VV, Moscaleski LA, et al. Effect of transcranial direct current stimulation on homeostatic and hedonic appetite control and mood states in women presenting premenstrual syndrome across menstrual cycle phases. Physiol Behav. 2023;261:114075.

68. Escobar-Morreale HF. Polycystic ovary syndrome: definition, aetiology, diagnosis and treatment. Nat Rev Endocrinol. 2018;14(5):270-84.

69. Dube R, Bambani T, Saif S, Hashmi N, Patni MAMF, Kedia NR. The prevalence of gestational diabetes mellitus in polycystic ovary disease, a systematic review, meta-analysis, and exploration of associated risk factors. Diabetology. 2024;5(4):430-46.

70. Teede HJ, Bahri Khomami M, Morman R, Laven JSE, Joham AE, Costello MF, et al. Polyendocrine metabolic ovarian syndrome, the new name for polycystic ovary syndrome: a multistep global consensus process. Lancet. 2026;407(10545):2329-39.

71. Basiri R, Seidu B, Cheskin LJ. Key nutrients for optimal blood glucose control and mental health in individuals with diabetes: a review of the evidence. Nutrients. 2023;15(18):3929.

72. Barber TM, Franks S. Genetics of polycystic ovary syndrome. eLS. 2013:1-7.

73. Torres PJ, Siakowska M, Banaszewska B, Pawelczyk L, Duleba AJ, Kelley ST, et al. Gut microbial diversity in women with polycystic ovary syndrome correlates with hyperandrogenism. J Clin Endocrinol Metab. 2018;103(4):1502-11.

74. Yonkers KA, Simoni MK. Premenstrual disorders. Am J Obstet Gynecol. 2018;218(1):68-74.

75. Safari K, Hemmatinafar M, Suzuki K, Koushkie Jahromi M, Imanian B. Dark chocolate mitigates premenstrual performance impairments and muscle soreness in female CrossFit athletes: evidence from a menstrual-phase-specific trial. Nutrients. 2025;17(8):1374.

76. Becker CM, Missmer SA, Zondervan KT. Endometriosis. N Engl J Med. 2020;382(13):1244-56.

77. Parazzini F, Viganò P, Candiani M, Fedele L. Diet and endometriosis risk: a literature review. Reprod Biomed Online. 2013;26(4):323-36.

78. Riccio LGC, Santulli P, Marcellin L, Abrão MS, Batteux F, Chapron C. Immunology of endometriosis. Best Pract Res Clin Obstet Gynaecol. 2018;50:39-49.

79. Chapron C, Marcellin L, Borghese B, Santulli P. Rethinking mechanisms, diagnosis and management of endometriosis. Nat Rev Endocrinol. 2019;15(11):666-82.

80. Davis SR, Pinkerton J, Santoro N, Simoncini T. Menopause, biology, consequences, supportive care, and therapeutic options. Cell. 2023;186(19):4038-58.

81. Silva TR, Oppermann K, Reis FM, Spritzer PM. Nutrition in menopausal women: a narrative review. Nutrients. 2021;13(7):2149.

82. Mauvais-Jarvis F. Sex differences in metabolic homeostasis, diabetes, and obesity. Biol Sex Differ. 2015;6:14.

83. Ferguson LR. Nutrigenomics approaches to functional foods. J Am Diet Assoc. 2009;109(3):452-8.

84. McNulty KL, Elliott-Sale KJ, Dolan E, Swinton PA, Ansdell P, Goodall S, et al. The effects of menstrual cycle phase on exercise performance in eumenorrheic women: a systematic review and meta-analysis. Sports Med. 2020;50(10):1813-27.

85. D'Souza AC, Wageh M, Williams JS, Colenso-Semple LM, McCarthy DG, McKay AKA, et al. Menstrual cycle hormones and oral contraceptives: a multimethod systems physiology-based review of their impact on key aspects of female physiology. J Appl Physiol. 2023;135(6):1284-99.

86. Roman S, Campos-Medina L, Leal-Mercado L. Personalized nutrition: the end of the one-diet-fits-all era. Front Nutr. 2024;11:1370595.

87. Siminiuc R, Țurcanu D. Impact of nutritional diet therapy on premenstrual syndrome. Front Nutr. 2023;10:1079417.

88. Kalpakoglou K, Calderón-Pérez L, Boqué N, Guldas M, Erdoğan Demir Ç, Gymnopoulos LP, et al. An AI-based nutrition recommendation system: technical validation with insights from Mediterranean cuisine. Front Nutr. 2025;12:1546107.

89. Park SH, Choi HK, Park JH, Hwang JT. Current insights into genome-based personalized nutrition technology: a patent review. Front Nutr. 2024;11:1346144.