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Variation in the vitamin D receptor gene, plasma 25-hydroxyvitamin D, and risk of premenstrual symptoms

Genes & Nutrition volume 16, Article number: 15 (2021) Cite this article

A Correction to this article was published on 19 October 2021

This article has been updated

Abstract

Background

Vitamin D status has been associated with the presence and severity of several premenstrual symptoms (PMSx) in some, but not all studies. Inconsistencies among findings may be explained by unaccounted genetic variation in the vitamin D receptor (VDR).

Objective

To determine whether associations between vitamin D status and individual PMSx are influenced by VDR genotype.

Methods

Seven hundred sixteen women aged 20-29 years old from the Toronto Nutrigenomics and Health study provided plasma samples and completed a questionnaire on the presence and severity of 15 common PMSx. Plasma 25-hydroxyvitamin D (25(OH)D) concentration was measured and participants were categorized into sufficient (≥ 50 nmol/L) and insufficient (< 50 nmol/L) vitamin D status groups. DNA was obtained from blood samples to genotype for a common VDR single nucleotide variant, rs796858. Using logistic regression, odds of experiencing PMSx were compared between vitamin D-sufficient and insufficient women, stratified by genotype.

Results

Among CC homozygotes, insufficient vitamin D status was associated with higher odds of experiencing premenstrual fatigue (OR, 2.53; 95% CI, 1.40, 4.56) and nausea (OR, 2.44; 95% CI, 1.00, 5.95). Among TT homozygotes, insufficient vitamin D status was associated with lower odds of experiencing fatigue (OR, 0.44; 95% CI, 0.20, 0.97) and increased appetite (OR, 0.48; 95% CI, 0.22, 1.04). Insufficient vitamin D status was associated with higher odds of increased appetite in women with the CT genotype (OR, 1.78; 95% CI, 1.03, 3.07). VDR genotype modified the association between vitamin D status and the following PMSx: increased appetite (interaction p = 0.027), fatigue (interaction p = 0.016), and nausea (interaction p = 0.039).

Conclusion

We found evidence that VDR genotype may modify the association between 25(OH)D and some PMSx. Insufficient 25(OH)D was associated with a higher risk of premenstrual fatigue in those with the CC genotype, but lower risk in those with the TT genotype.

Introduction

Premenstrual symptoms (PMSx) occur during the late luteal phase of the menstrual cycle and resolve once menstruation begins [1]. It is estimated that 85-98% of women experience these symptoms [2], but the type of symptoms and the severity differ between women. Moderate-severe symptoms are debilitating and can significantly impact the quality of life and productivity of those who experience them [3,4,5,6,7]. There are currently two distinctly recognized premenstrual disorders (PMDs): premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD). These PMDs are estimated to affect 20-32% and 3-8% of women, respectively. The definition for their diagnosis is based on symptom number and type (somatic or affective) [2, 8]. As such, a PMD diagnosis often conveys little about the underlying etiology of the many different PMSx that a woman can experience. Studying PMSx individually can offer better insights into pathophysiological mechanisms and strategies for their prevention and management.

The etiology of PMSx is inexact; however, lifestyle factors, genetics, and nutrition are all key features in the variation of PMSx [9,10,11]. The role of vitamin D in PMSx is not yet fully understood as some studies have indicated inverse associations, while other studies report no associations between vitamin D intake or plasma levels and the risk of PMSx severity [11, 12]. Evidence from a recent meta-analysis indicates that vitamin D supplementation is effective in treating PMS, but it is not clear which specific symptoms are alleviated [13]. Plasma 25(OH)D concentrations have also been shown to be inversely associated with the presence or severity of some PMSx [14, 15]. Though, the exact mechanism behind these findings remains equivocal, as there is no evidence to suggest that vitamin D metabolites differ during different phases of the menstrual cycle [16]. Plasma 25(OH)D is the most abundant circulating vitamin D metabolite; to exert biological effects, 25(OH)D must be converted into the active 1,25-dihydroxyvitamin D (1,25(OH)D), which binds to the vitamin D receptor (VDR) [17,18,19]. 25(OH)D is a more accurate measure of physiological vitamin D availability than dietary intake, as it encompasses cutaneous vitamin D production in addition to intake.

The biological effects of vitamin D are now believed to transcend the vitamin’s classic role in bone health because the VDR binds to response elements in the regulatory region of at least 900 genes [20]. Indeed, many cell types express the VDR, suggesting a plausible involvement of vitamin D in regulating the physiological processes involved in PMSx [21]. More specifically, previous findings suggest that variants in the VDR gene, such as the rs7968585 single nucleotide polymorphism (SNP) modify the association between low vitamin D concentration and risk of major health outcomes [22, 23]. Additionally, polymorphisms in the VDR gene may alter these effects on target genes that are induced by the binding of 1,25(OH)D, influencing the body’s response to vitamin D and potentially modifying the association between vitamin D status and PMSx. Considering that there is evidence for genetic heritability in PMS, and that the relationship between vitamin D and PMSx remains equivocal, the objective of the present study was to determine whether associations between vitamin D status and individual PMSx may be influenced by genetic variation in VDR.

Methods

Study population

Subjects were participants of the Toronto Nutrigenomics and Health (TNH) study, which is a cross-sectional analysis of a multiethnic population of young adults. The study recruited 1636 healthy men and women aged 20-29 years and living in Toronto, Canada, between the years 2004 and 2010. Women who were pregnant or breastfeeding were not eligible to participate. Participants who met inclusion criteria provided written informed consent, and the study protocol was approved by the Ethics Review Board of the University of Toronto.

For the present study, male participants (n = 520), participants missing General Health and Lifestyle Questionnaire (GHLQ) or food frequency questionnaire (FFQ) data (n = 26), and participants missing biomarker or genetic data (n = 7) were excluded. Participants using hormonal contraceptives (HCs) (n = 275), anxiolytics or anti-depressants (n = 45), and current or past smokers (n = 50) were also excluded from the present analyses due to the confounding effects of these variables on vitamin D status or premenstrual symptoms [45, 46]. The remaining 716 participants were categorized into four major ethnic groups based on their self-reported ethnocultural status: Caucasian (n = 254), East Asian (n = 330), South Asian (n = 82), and other (n = 50). Caucasians included those self-reported as European, Middle Eastern, or Hispanic. East Asians consisted of Chinese, Korean, Japanese, Filipino, Vietnamese, Thai, and Cambodian. South Asians included Bangladeshi, Sri Lankan, Indian, and Pakistani. The other category included Aboriginal Canadians, Afro-Caribbeans, and those who self-reported belonging to ≥ 2 ethnic groups.

General health and lifestyle questionnaire

The GHLQ included questions regarding age, gender, ethnocultural group, current medical conditions, medication use, and hormonal contraceptive use, as well as dietary supplements, special diets, and physical activity. A PMSx questionnaire was included in the GHLQ, which assessed the presence and severity of 15 commonly reported PMSx within 5 days prior to the onset of menses and up to 4 days thereafter, as described previously [24, 25]. Severity categories included none, mild, moderate, and severe. In the present study, severities were grouped into present (mild, moderate, severe) and absent (none). Participants were presented with the option of listing other symptoms not included in the questionnaire; however, very few additional symptoms were reported this way and they were not considered in the analyses in the present study.

Anthropometric and plasma 25(OH)D measurements

Height and weight were measured by trained study personnel and used to calculate body mass index (BMI) (weight (kg)/height (m)2). The subjects self-reported their physical activity in the GHLQ by providing an estimate of the amount of time they spent sleeping and partaking in light, moderate, and vigorous activity. These values were subsequently converted into metabolic equivalent (MET) hours per week.

Following a 12-h overnight fast, blood samples were collected at LifeLabs Medical Laboratory Services (Toronto, Ontario, Canada). Participants experiencing a temporary inflammatory condition (a recent piercing or tattoo, acupuncture, immunization or vaccination, flu, fever, medical or dental procedure, infection) provided blood samples following a 2-week recovery period. Plasma 25(OH)D was measured using high-performance liquid chromatography-tandem mass spectrometry at the University Health Network Specialty Lab at Toronto General Hospital, as previously described [26]. Reported plasma 25(OH)D concentrations are the sum of measured 25(OH)D3 and 25(OH)D2.

The season of blood draw was classified as follows based on month of blood draw: spring (March, April, May), summer (June, July, August), fall (September, October, November), and winter (December, January, February). Vitamin D status categories were created based on recommendations from the Canadian Osteoporosis Society, the Endocrine Society, and the Institute of Medicine [27,28,29]. Insufficient and sufficient vitamin D status categories were defined as 25(OH)D < 50 nmol/L and 25(OH)D ≥ 50 nmol/L, respectively.

Dietary assessment

Total calcium intake, which can affect PMSx [30], was measured using a 196-item Toronto-Modified Harvard FFQ that assessed subjects’ dietary intake of foods, beverages, and supplements. Subjects estimated their consumption of a preassigned portion of each item over the past month by choosing from several frequency options. Responses were subsequently converted into estimate daily averages of total calcium intake from foods and supplements.

Genotyping

Blood samples were processed at the Clinical Genomics Centre at Princess Margaret Hospital, University Health Network (Toronto, Ontario, Canada) and were genotyped for rs7968585 in the VDR gene using the iPLEX Gold assay with MS-based detection (Sequenom MassARRAY platform; Sequenom, Inc.) [31]. This specific polymorphism in the VDR gene was selected because previous studies have shown that it modifies the association between 25(OH)D and major health outcome risk [22, 23].

Statistical analysis

All analyses were conducted using the SAS Statistical Analysis Software (version 9.4; SAS Institute Inc., Cary, NC, USA). Sample size was determined using a power of 0.8, a small effect size of 0.2, and a significance of p < 0.05 using R (version 4.0.3) and RStudio (version 1.3.1). Based on this equation, and the observed sample size in previous studies assessing 25(OH)D, an adequate sample size was estimated to be ~190 participants [14, 32]. P values were two-sided. Distributions of continuous variables were assessed for normality prior to analyses and adjusted as necessary. Subject characteristics were compared between participants with sufficient and insufficient vitamin D status using ANOVA for continuous variables and chi-square tests for categorical variables. Logistic regressions were performed to determine if VDR genotype modified the association between vitamin D status and the presence of PMSx. Odds ratios (OR) and corresponding 95% confidence intervals (CI) were calculated to compare the odds of experiencing PMSx for participants with insufficient versus sufficient vitamin D status, using “no symptoms” as the reference category, stratified by VDR genotype. The p values for the interaction term between VDR and vitamin D status were also calculated for each symptom. Univariable and multivariable analyses were carried out. Covariates included age, ethnicity, BMI, physical activity, season of blood draw, calcium intake, and use of analgesics. Benjamini-Yekutieli adjustments for multiple comparisons were applied (15 tests, α = 0.05: p < 0.015) to the interaction term p values.

Results

Table 1 displays the subject characteristics stratified by vitamin D status. The average age was 22.4 years, and women with an insufficient vitamin D status were younger than vitamin D-sufficient women (p < 0.01). Likewise, average reported physical activity also differed by vitamin D status (p < 0.0001), where women with insufficient status reported 7.1 ± 3.1 MET-hours/week of physical activity compared to 8.1 ± 3.2 MET-hours/week in the sufficient status group. The average BMI was 22.3 kg/m2; however, this did not significantly differ by vitamin D status (p = 0.62). Total vitamin D intake differed by plasma vitamin D status as well (p < 0.001), where women with insufficient status reported 279 ± 218 mg/day compared to 403 ± 278 mg/day. In the present study, East Asians (47%) were the most common ethnocultural group, followed by Caucasians (35%), South Asians (11%), and other (7%). Additionally, the distribution of the ethnic groups differed significantly by vitamin D status, with Caucasians having the greatest proportion of individuals classified as vitamin D-sufficient (p < 0.0001). The distribution of ethnic groups also differed significantly by VDR genotype (p < 0.001) (Supplementary Table 1). No significant differences were observed in the distribution of analgesic use or VDR genotypes between vitamin D status groups. There were also no significant differences observed between total vitamin D intake and VDR genotypes (data not shown).

Table 1 Participant characteristics stratified by vitamin D status categoriesa
Full size table

The associations between vitamin D status and individual PMSx stratified by VDR rs7968585 genotype are shown in Table 2. Following adjustment for covariates, VDR genotype modified the association between vitamin D status and premenstrual increased appetite (interaction p = 0.027), fatigue (interaction p = 0.016), and nausea (interaction p = 0.039) as shown in Table 3. These interactions should be interpreted with caution since none met the Benjamini-Yekutieli threshold for multiple testing (p = 0.015). In analyses stratified by genotype, insufficient vitamin D status was associated with a lower risk fatigue (OR, 0.44; 95% CI, 0.20, 0.97), compared to vitamin D sufficiency in women with the TT genotype. Insufficient vitamin D status was also associated with a nearly significant lower risk of increased appetite, compared to vitamin D sufficiency (OR, 0.48; 95% CI, 0.22, 1.04) in women with the TT genotype. Conversely, insufficient vitamin D status was associated with higher odds of increased appetite compared to sufficient status in women with the CT genotype (OR, 1.78; 95% CI, 1.03, 3.07), and there was no association in women with the CC genotype (OR, 1.62; 95% CI, 0.89, 2.94). Premenstrual fatigue showed similar genotype-specific associations. Among women with the TT genotype, those with insufficient status had lower odds of experiencing premenstrual fatigue (OR, 0.44; 95% CI, 0.20, 0.97) than women with sufficient vitamin D status. However, in women with the CC genotype, insufficient vitamin D status was associated with significantly higher odds of experiencing premenstrual fatigue (OR, 2.53; 95% CI, 1.40, 4.56) compared to sufficient vitamin D status. In women with the CT genotype, vitamin D insufficiency and premenstrual fatigue were not associated. Although a significant interaction effect (p = 0.039) was found between VDR and vitamin D status on premenstrual nausea, no significant associations were observed when the analyses were stratified by genotype.

Table 2 Associations between inadequate vitamin D status and risk of premenstrual symptoms stratified by VDR genotype
Full size table
Table 3 Interaction between VDR and vitamin D status on premenstrual symptoms
Full size table

Discussion

The present study investigated the modifying effect of VDR genotype (rs7968585) on the association between insufficient vitamin D status and the presence of 15 symptoms commonly experienced by women prior to menstruation. Our findings are to be interpreted with caution because none of the vitamin D-genotype interaction effects on specific symptoms met our threshold for multiple comparisons. Nevertheless, the present study’s results suggest that a common VDR polymorphism may modify the association between vitamin D status and premenstrual increased appetite, fatigue, and nausea. Participants homozygous for the T allele and with insufficient vitamin D status had decreased odds of experiencing premenstrual fatigue and increased appetite, while subjects homozygous for the C allele and with insufficient vitamin D had increased odds of experiencing premenstrual fatigue and nausea compared to those who were vitamin D sufficient, while women who with the CT genotype and with insufficient vitamin D status had increased odds of experiencing premenstrual increased appetite. To our knowledge, this is the first study to examine the interaction between variation in the VDR gene, vitamin D status, and individual PMSx.

Inverse associations between vitamin D status or plasma 25(OH)D concentrations and PMSx have been reported previously [14, 15]. Our earlier analysis of the TNH population showed that women with inadequate vitamin D status had increased odds of experiencing several common premenstrual symptoms, compared to vitamin D-sufficient women [15]. Similarly, a case-control study nested in the Nurses’ Health Study II found an inverse association between 25(OH)D concentrations and premenstrual depression, diarrhea, fatigue, and breast ache [14]. Other studies, however, found no associations between plasma 25(OH)D and PMS or individual symptoms [32,33,34]. Although several reasons may explain these discrepancies, as described previously [15], the potential influence of genetic variation has remained unexplored. Therefore, the present study aimed to expand on our previous findings on the effects of vitamin D on PMSx in the TNH population by examining whether genetic variation in the VDR gene modified any associations.

In the present analysis, women who had insufficient vitamin D status and were homozygous for the C allele of the rs7968585 variant had significantly increased odds of experiencing premenstrual fatigue and nausea. It was previously found that the rs7968585 variant modified the association between low vitamin D concentration and risk of major health outcomes where the replacement of the T allele with the C allele conferred stepwise increases in risk in those with low 25(OH)D [22]. The association between low vitamin D status and PMSx is in keeping with predicted physiological mechanisms, as described in our previous publication [15], and perhaps homozygosity of the minor allele of rs7968585 may magnify these effects. However, our finding that T allele homozygotes with insufficient vitamin D status had reduced odds of experiencing certain PMSx compared to those who were vitamin D sufficient was unexpected.

The directionality of the associations between vitamin D and PMSx in CC homozygous participants is that which would be expected, based on observed physiological mechanisms that take place in premenstrual disorders. Vitamin D’s ability to normalize calcium fluctuations and regulate calcium homeostasis throughout the menstrual cycle has been hypothesized to protect women against premenstrual symptoms [35]. Furthermore, the role of vitamin D in reducing inflammation may provide a potential mechanism for its mitigation of specific PMSx. Elevated inflammatory markers have been previously observed in women with PMS [36], and vitamin D’s anti-inflammatory effects may help ameliorate the inflammation leading to PMSx.

To exert its physiological effects, the vitamin D-VDR complex forms a heterodimer with retinoid X receptor within the cell nucleus and binds vitamin D responsive elements as a transcription factor for multiple target genes. Single nucleotide polymorphisms (SNPs) present in the VDR gene alter receptor length, thus affecting its activation of target cells [37]. The physiological relevance of the nucleotide substitution in rs7968585 is not known; however, as in the case with other SNPs within VDR, it is possible that the T allele of rs7968585 upregulates downstream pathways that have adverse effects on health upon binding to a sufficient amount of vitamin D. For example, a G>C variant in a common VDR polymorphism, FokI, results in a VDR protein that is three amino acids shorter. This shorter isoform has been shown in transfection experiments to produce a more potent immune response with higher nuclear factor kappa-B and interleukin 12 expression [38]. Although further research is needed to elucidate the effects of the rs7968585 variant, it is possible that the TT genotype could confer increased risk toward PMSx in response to activation by vitamin D through activation or repression of genes that increase or decrease the risk of certain PMSx, respectively. This could help explain our observation that T allele homozygotes with insufficient vitamin D status had reduced odds of experiencing certain PMSx compared to those who were vitamin D sufficient. These findings further highlight the inter-individual variation in PMSx, suggesting that vitamin D may either have beneficial or unfavorable effects on PMSx based on variation in the VDR gene. This may help health care providers and researchers identify the discrepancy in the effectiveness of vitamin D in PMSx management.

The present study had several strengths. Participants were part of Canada’s three major ethnic groups, and findings could thus be generalized to a broader population of young Canadian adults. Moreover, the large sample size allowed us to investigate the relationship between vitamin D status and individual PMSx, instead of the somewhat arbitrarily defined disorders, PMS and PMDD. The GHLQ also collected detailed information concerning a subject’s lifestyle choices and current state of health, which allowed for adjustment for factors known to influence PMSx and vitamin D status, and thus, minimized the effect of residual confounders. Stratification by genotype further reduces risk of confounding influence on study findings.

There were also limitations which may affect the interpretation of the present results. This study was a cross-sectional analysis, and any observed associations cannot imply causation. Additionally, a retrospective questionnaire was used to report PMSx severities, which may result in overestimation of the prevalence of some symptoms. However, recall bias is unlikely to have differed by vitamin D status or by genotype. Additionally, we were unable to assess the effect of vitamin D binding protein concentrations and other vitamin D metabolites on the outcomes of interest. Subjects were also young adults recruited from a large university campus, and results may not be representative of all menstruating women. A greater understanding of the physiological effects of rs7968585 would facilitate clinical interpretation of this study’s findings. We also did not examine other variants in VDR or variants in other genes that affect the metabolism of vitamin D, such as CYP27B1, which is involved in hydroxylation of 25(OH)D to 1,25(OH)D [39] and may influence the relationship between vitamin D and PMSx.

In summary, the findings of the present study suggest that vitamin D may have either beneficial or detrimental effects on PMSx based on variation in the VDR gene. However, these results must be interpreted with caution because the identified VDR-vitamin D interactions did not meet our threshold for multiple comparisons. More studies with a larger sample size that investigate not only rs7968585 within VDR but also variants within other key vitamin D metabolism genes, are needed to help elucidate the relationship between vitamin D and PMSx.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author upon reasonable request.

Change history

Abbreviations

PMSx:

Premenstrual symptoms

VDR:

Vitamin D receptor

(25(OH)D):

Plasma 25-hydroxyvitamin D

PMDs:

Premenstrual disorders

PMS:

Premenstrual syndrome

PMDD:

Premenstrual dysphoric disorder

(1,25(OH)D):

1,25-dihydroxyvitamin D

TNH:

Toronto nutrigenomics and health

GHLQ:

General health and lifestyle questionnaire

FFQ:

Food frequency questionnaire

HC:

Hormonal contraceptives

BMI:

Body mass index

MET:

Metabolic equivalent

OR:

Odds ratios

CI:

Confidence interval

SNPs:

Single nucleotide polymorphisms

References

  1. Halbreich U. The diagnosis of premenstrual syndromes and premenstrual dysphoric disorder--clinical procedures and research perspectives. Gynecol Endocrinol. 2004;19(6):320–34. https://doi.org/10.1080/0951590400018215.

    Article  CAS  PubMed  Google Scholar 

  2. Braverman PK. Premenstrual syndrome and premenstrual dysphoric disorder. J Pediatr Adolesc Gynecol. 2007;20(1):3–12. https://doi.org/10.1016/j.jpag.2006.10.007.

    Article  PubMed  Google Scholar 

  3. Cheng SH, Shih CC, Yang YK, Chen KT, Chang YH, Yang YC. Factors associated with premenstrual syndrome - a survey of new female university students. Kaohsiung J Med Sci. 2013;29(2):100–5. https://doi.org/10.1016/j.kjms.2012.08.017.

    Article  PubMed  Google Scholar 

  4. Dean BB, Borenstein JE. A prospective assessment investigating the relationship between work productivity and impairment with premenstrual syndrome. J Occup Environ Med. 2004;46(7):649–56. https://doi.org/10.1097/01.jom.0000131796.62115.84.

    Article  PubMed  Google Scholar 

  5. Borenstein JE, Dean BB, Leifke E, Korner P, Yonkers KA. Differences in symptom scores and health outcomes in premenstrual syndrome. J Womens Health (Larchmt). 2007;16(8):1139–44. https://doi.org/10.1089/jwh.2006.0230.

    Article  Google Scholar 

  6. Heinemann LA, Minh TD, Heinemann K, Lindemann M, Filonenko A. Intercountry assessment of the impact of severe premenstrual disorders on work and daily activities. Health Care Women Int. 2012;33(2):109–24. https://doi.org/10.1080/07399332.2011.610530.

    Article  PubMed  Google Scholar 

  7. Borenstein JE, Dean BB, Endicott J, Wong J, Brown C, Dickerson V, et al. Health and economic impact of the premenstrual syndrome. J Reprod Med. 2003;48(7):515–24.

    PubMed  Google Scholar 

  8. ACOG Practice Bulletin: No 15: Premenstrual syndrome. Obstet Gynecol 2000, 95(4):suppl 1-9.

  9. Jahanfar S, Lye MS, Krishnarajah IS. The heritability of premenstrual syndrome. Twin Res Hum Genet. 2011;14(5):433–6. https://doi.org/10.1375/twin.14.5.433.

    Article  PubMed  Google Scholar 

  10. Bertone-Johnson ER, Hankinson SE, Willett WC, Johnson SR, Manson JE. Adiposity and the development of premenstrual syndrome. J Womens Health (Larchmt). 2010;19(11):1955–62. https://doi.org/10.1089/jwh.2010.2128.

    Article  Google Scholar 

  11. Bertone-Johnson ER, Hankinson SE, Bendich A, Johnson SR, Willett WC, Manson JE. Calcium and vitamin D intake and risk of incident premenstrual syndrome. Arch Intern Med. 2005;165(11):1246–52. https://doi.org/10.1001/archinte.165.11.1246.

    Article  CAS  PubMed  Google Scholar 

  12. Bertone-Johnson ER, Chocano-Bedoya PO, Zagarins SE, Micka AE, Ronnenberg AG. Dietary vitamin D intake, 25-hydroxyvitamin D3 levels and premenstrual syndrome in a college-aged population. J Steroid Biochem Mol Biol. 2010;121(1-2):434–7. https://doi.org/10.1016/j.jsbmb.2010.03.076.

    Article  CAS  PubMed  Google Scholar 

  13. Arab A, Golpour-Hamedani S, Rafie N. The association between vitamin D and premenstrual syndrome: a systematic review and meta-analysis of current literature. J Am Coll Nutr. 2019;38(7):648–56. https://doi.org/10.1080/07315724.2019.1566036.

    Article  CAS  PubMed  Google Scholar 

  14. Bertone-Johnson ER, Hankinson SE, Forger NG, Powers SI, Willett WC, Johnson SR, et al. Plasma 25-hydroxyvitamin D and risk of premenstrual syndrome in a prospective cohort study. BMC Womens Health. 2014;14(1):56. https://doi.org/10.1186/1472-6874-14-56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Jarosz AC, El-Sohemy A. Association between vitamin D status and premenstrual symptoms. J Acad Nutr Diet. 2019;119(1):115–23. https://doi.org/10.1016/j.jand.2018.06.014.

    Article  PubMed  Google Scholar 

  16. Subramanian A, Gernand AD. Vitamin D metabolites across the menstrual cycle: a systematic review. BMC Women's Health. 2019;19(1):19. https://doi.org/10.1186/s12905-019-0721-6.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Sawada N, Sakaki T, Ohta M, Inouye K. Metabolism of vitamin D(3) by human CYP27A1. Biochem Biophys Res Commun. 2000;273(3):977–84. https://doi.org/10.1006/bbrc.2000.3050.

    Article  CAS  PubMed  Google Scholar 

  18. Norman AW. From vitamin D to hormone D: fundamentals of the vitamin D endocrine system essential for good health. Am J Clin Nutr. 2008;88(2):491s–9s.

    Article  CAS  PubMed  Google Scholar 

  19. Haussler MR, Jurutka PW, Mizwicki M, Norman AW. Vitamin D receptor (VDR)-mediated actions of 1α,25(OH)2 vitamin D3: genomic and non-genomic mechanisms. Best Pract Res Clin Endocrinol Metab. 2011;25(4):543–59. https://doi.org/10.1016/j.beem.2011.05.010.

    Article  CAS  PubMed  Google Scholar 

  20. Wang TT, Tavera-Mendoza LE, Laperriere D, Libby E, MacLeod NB, Nagai Y, et al. Large-scale in silico and microarray-based identification of direct 1,25-dihydroxyvitamin D3 target genes. Mol Endocrinol. 2005;19(11):2685–95. https://doi.org/10.1210/me.2005-0106.

    Article  CAS  PubMed  Google Scholar 

  21. Bizzaro G, Antico A, Fortunato A, Bizzaro N. Vitamin D and autoimmune diseases: is vitamin D receptor (VDR) polymorphism the culprit? Isr Med Assoc J. 2017;19(7):438–43.

    PubMed  Google Scholar 

  22. Levin GP, Robinson-Cohen C, de Boer IH, Houston DK, Lohman K, Liu Y, et al. Genetic variants and associations of 25-hydroxyvitamin D concentrations with major clinical outcomes. Jama. 2012;308(18):1898–905. https://doi.org/10.1001/jama.2012.17304.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Barry EL, Rees JR, Peacock JL, Mott LA, Amos CI, Bostick RM, et al. Genetic variants in CYP2R1, CYP24A1, and VDR modify the efficacy of vitamin D3 supplementation for increasing serum 25-hydroxyvitamin D levels in a randomized controlled trial. J Clin Endocrinol Metab. 2014;99(10):E2133–7. https://doi.org/10.1210/jc.2014-1389.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Jarosz AC, Jamnik J, El-Sohemy A. Hormonal contraceptive use and prevalence of premenstrual symptoms in a multiethnic Canadian population. BMC Womens Health. 2017;17(1):87. https://doi.org/10.1186/s12905-017-0450-7.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Zeitoun T, Dehghan Noudeh N, Garcia-Bailo B, El-Sohemy A. Genetics of iron metabolism and premenstrual symptoms: a Mendelian randomization study. Journal of Nutrition. 2021;151(7):1747–54. https://doi.org/10.1093/jn/nxab048.

    Article  PubMed  Google Scholar 

  26. García-Bailo B, Karmali M, Badawi A, El-Sohemy A. Plasma 25-hydroxyvitamin D, hormonal contraceptive use, and cardiometabolic disease risk in an ethnically diverse population of young adults. J Am Coll Nutr. 2013;32(5):296–306. https://doi.org/10.1080/07315724.2013.826112.

    Article  CAS  PubMed  Google Scholar 

  27. Bischoff-Ferrari HA, Giovannucci E, Willett WC, Dietrich T, Dawson-Hughes B. Estimation of optimal serum concentrations of 25-hydroxyvitamin D for multiple health outcomes. Am J Clin Nutr. 2006;84(1):18–28. https://doi.org/10.1093/ajcn/84.1.18.

    Article  CAS  PubMed  Google Scholar 

  28. Holick MF, Binkley NC, Bischoff-Ferrari HA, Gordon CM, Hanley DA, Heaney RP, et al. Evaluation, treatment, and prevention of vitamin D deficiency: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2011;96(7):1911–30. https://doi.org/10.1210/jc.2011-0385.

    Article  CAS  PubMed  Google Scholar 

  29. Ross AC, Manson JE, Abrams SA, Aloia JF, Brannon PM, Clinton SK, et al. The 2011 report on dietary reference intakes for calcium and vitamin D from the Institute of Medicine: what clinicians need to know. J Clin Endocrinol Metab. 2011;96(1):53–8. https://doi.org/10.1210/jc.2010-2704.

    Article  CAS  PubMed  Google Scholar 

  30. Ghanbari Z, Haghollahi F, Shariat M, Foroshani AR, Ashrafi M. Effects of calcium supplement therapy in women with premenstrual syndrome. Taiwan J Obstet Gynecol. 2009;48(2):124–9. https://doi.org/10.1016/S1028-4559(09)60271-0.

    Article  PubMed  Google Scholar 

  31. Alharbi O, El-Sohemy A. Lactose intolerance (LCT-13910C>T) genotype is associated with plasma 25-hydroxyvitamin D concentrations in Caucasians: a Mendelian randomization study. J Nutr. 2017;147(6):1063–9. https://doi.org/10.3945/jn.116.246108.

    Article  CAS  PubMed  Google Scholar 

  32. Rajaei S, Akbari Sene A, Norouzi S, Berangi Y, Arabian S, Lak P, et al. The relationship between serum vitamin D level and premenstrual syndrome in Iranian women. Int J Reprod Biomed. 2016;14(10):665–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  33. Obeidat BA, Alchalabi HA, Abdul-Razzak KK, Al-Farras MI. Premenstrual symptoms in dysmenorrheic college students: prevalence and relation to vitamin D and parathyroid hormone levels. Int J Environ Res Public Health. 2012;9(11):4210–22. https://doi.org/10.3390/ijerph9114210.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Saeedian Kia A, Amani R, Cheraghian B. The association between the risk of premenstrual syndrome and Vitamin D, calcium, and magnesium status among university students: a case control study. Health Promot Perspect. 2015;5(3):225–30. https://doi.org/10.15171/hpp.2015.027.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Johnson SR. Premenstrual syndrome, premenstrual dysphoric disorder, and beyond: a clinical primer for practitioners. Obstet Gynecol. 2004;104(4):845–59. https://doi.org/10.1097/01.AOG.0000140686.66212.1e.

    Article  PubMed  Google Scholar 

  36. Azizieh FY, Alyahya KO, Dingle K. Association of self-reported symptoms with serum levels of vitamin D and multivariate cytokine profile in healthy women. J Inflamm Res. 2017;10:19–28. https://doi.org/10.2147/JIR.S127892.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Jurutka PW, Remus LS, Whitfield GK, Thompson PD, Hsieh JC, Zitzer H, et al. The polymorphic N terminus in human vitamin D receptor isoforms influences transcriptional activity by modulating interaction with transcription factor IIB. Mol Endocrinol. 2000;14(3):401–20. https://doi.org/10.1210/mend.14.3.0435.

    Article  CAS  PubMed  Google Scholar 

  38. van Etten E, Verlinden L, Giulietti A, Ramos-Lopez E, Branisteanu DD, Ferreira GB, et al. The vitamin D receptor gene FokI polymorphism: functional impact on the immune system. Eur J Immunol. 2007;37(2):395–405. https://doi.org/10.1002/eji.200636043.

    Article  CAS  PubMed  Google Scholar 

  39. DeLuca HF. Overview of general physiologic features and functions of vitamin D. Am J Clin Nutr. 2004;80(6 Suppl):1689s–96s.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

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Funding

Funding for this study was provided by the Allen Foundation.

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Author notes

  1. Alicia C. Jarosz, Daniel Noori and Tara Zeitoun contributed equally to this work.

Authors and Affiliations

  1. Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Ontario, M5S 1A8, Toronto, Canada

    Alicia C. Jarosz, Daniel Noori, Tara Zeitoun, Bibiana Garcia-Bailo & Ahmed El-Sohemy

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  1. Alicia C. Jarosz
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  2. Daniel Noori
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Contributions

AE-S, ACJ, DN, and BG-B designed the research; ACJ, DN, and TZ conducted data analysis; ACJ, DN, and TZ wrote the paper; ACJ, DN, TZ, BG-B, and AE-S all contributed to data interpretation and manuscript revision. All authors read and approved the final manuscript; AE-S had primary responsibility for final content.

Corresponding author

Correspondence to Ahmed El-Sohemy.

Ethics declarations

Ethics approval and consent to participate

Informed consent was obtained from all participants included in the study, and the study protocol was approved by the Ethics Review Board at the University of Toronto (REB 22587).

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Not applicable.

Competing interests

AE-S is the Founder of, and holds shares in, Nutrigenomix Inc., a genetic testing company for personalized nutrition. BG-B is the Director of Research and Development at Nutrigenomix Inc. ACJ, DN, and TZ declare that they have no competing interests.

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Supplementary Information

Additional file 1: Supplementary Table 1.

Ethnic groups stratified by VDR rs796858 genotypea

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Jarosz, A.C., Noori, D., Zeitoun, T. et al. Variation in the vitamin D receptor gene, plasma 25-hydroxyvitamin D, and risk of premenstrual symptoms. Genes Nutr 16, 15 (2021). https://doi.org/10.1186/s12263-021-00696-2

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Keywords

Genes & Nutrition

ISSN: 1865-3499

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