Results
The 552 women had a mean (standard deviation) age of 35.0 (4.2) years and
BMI of 24.2 (4.4) kg/m 2 . The majority of women were never smokers (73.4%)
and primarily White (83.3%) with a college degree or higher (92.9%). The median
(25 th , 75 th percentile) folate intake was 1005 (744.7,
1325.7), 457 (400.0, 800.0), and 404 (312.0, 542.9) μg/day for total,
supplemental, and food folate, respectively. The median antral follicle count was 13
with a range of 1-30. The most common reason for infertility at enrollment was
unexplained (46.3%). There were significant differences in physical activity, total
calorie intake, percent of calories from carbohydrates and fat, intake of vitamins
D, B1, B2, B3, B5, B6, and B12, and use of a multivitamin across quartiles of total
folate intake. There were no significant differences in age, BMI, smoking status,
education level, reproductive characteristics, or intake of caffeine, alcohol, or
percent of calories from protein across quartiles of total folate intake ( Table 1 ). Total folate intake was moderately to
highly correlated with intake of most other B vitamins (range: −0.08 for B5
to 0.76 for B1).
When folate was assessed using quartiles, we found no significant
associations between total, supplemental, and food folate intake and AFC in the
calorie and age-adjusted or multivariable-adjusted models ( Table 2 ). The multivariable adjusted percent difference
in AFC (95% CI) for women in the fourth quartile compared to the first quartile was
6.5% (−6.8, 21.7) for total folate intake (p-trend=0.48), 6.6% (−5.6,
20.5) for supplemental folate intake (p-trend=0.32), and 5.2% (−4.8, 16.2)
for food folate intake (p-trend=0.33). When total and supplemental folate were
assessed as continuous variables, there was evidence of a significant non-linear
relationship (P for non-linearity 0.05 and 0.02, respectively). In both instances,
there was a positive linear relationship with AFC up to approximately 1200
μg/day for total folate intake and up to 800 μg/day for supplemental
folate intake without evidence of additional benefit with higher intakes ( Figure 1 ). For food folate intake, no significant
non-linear relationship with AFC was detected (P for non-linearity 0.32).
We also investigated whether the intake of the other B-vitamins, which are
highly correlated with folate intake, showed similar associations with AFC ( Table 3 ). When assessed using quartiles, higher
intake of each of these micronutrients was not significantly associated with AFC.
The multivariable adjusted percent difference in AFC (95% confidence interval) for
women in the fourth quartile compared to the first quartile was 6.2% (−6.8,
21.0) for B1 (p-trend=0.35), 2.0% (−9.9, 15.5) for B2 (p-trend=0.99),
−3.0% (−16.0, 12.0) for B3 (p-trend=0.10), −1.6% (−1.9,
9.8) for B5 (p-trend=0.82), 15.5% (1.8, 31.1) for B6 (p-trend=0.27), and 5.1%
(−7.8, 19.7) for B12 (p-trend=0.88). After further adjustment for folate
intake, these associations remained similar. When assessed continuously, there was
also no evidence of a relationship with AFC and B1, B2, B3, B6, or B12 intake,
whether modeled linearly or as a restricted cubic spline. For B5 intake, however, a
significant non-linear relationship with AFC was detected (P for nonlinearity 0.003)
and this association remained after further adjustment for folate intake (P for
nonlinearity <0.001) ( Supplemental Figure 1 ); however, upon further inspection, this
association was being entirely driven by outlying B5 intakes above the
95 th percentile, and once these intakes were censored, the
significant, non-linear association was no longer observed.
As a sensitivity analysis we evaluated whether the association between
folate intake and AFC was modified by factors strongly related to AFC ( Supplemental Table 2 ). For
total folate intake and AFC, there was no evidence to suggest that the association
was significantly modified by age (p-interaction=0.56), smoking status
(p-interaction=0.13), BMI (p-interaction=0.85), or infertility diagnosis
(p-interaction=0.35). For supplemental folate intake and AFC, however, there was
suggestive evidence of a stronger positive association between supplemental folate
and AFC among ever smokers (p-interaction=0.04) ( Supplemental Table 3 ). Although our
power was severely reduced due to the small sample size in our analysis of folate
and AFC among women who filled out their FFQ prior to their antral follicle scan
(n=188), we noticed a similar non-linear relationship ( Supplemental Figure 2 ); however, it was
no longer statistically significant (P for non-linearity 0.46).
Material
The women in our analysis were participants in the Environment and
Reproductive Health (EARTH) Study, a prospective cohort of couples seeking
infertility treatment and evaluation at the Massachusetts General Hospital (MGH)
Fertility Center (2004-2019) ( 24 ). In
brief, all women 18 to 46 years were eligible for the study and approximately
60% of eligible women contacted by the research staff participated. Women could
enroll in the EARTH Study at any point during their care at MGH, including at
the start of their fertility investigation or after initiating treatment. Women
joining the EARTH Study in 2007 and onwards were given a food frequency
questionnaire (FFQ) to assess usual dietary habits in the year prior to study
entry and could return it to study personnel at any point thereafter. Of the
initial 1019 antral follicle scans available for analysis, we excluded those
done while the woman was on Lupron (n=43), incomplete scans (n=21), those done
on women with polycystic ovaries (n=77), and repeated scans (n=107). From these
772 eligible women with a complete AFC, we excluded women who had incomplete or
missing diet data (n=200) as well as women who completed the FFQ more than a
year after their transvaginal ultrasound (n=20). Compared to the 552 women
included in our final analytical sample, the 200 women with an incomplete or
missing FFQ were slightly older (35.8 vs. 35.0 yrs), heavier (BMI of 25.5 vs.
24.2 kg/m 2 ), and less physically active (4.8 vs. 7.6 hrs/wk) ( Supplemental Table 1 ).
They also were more likely to have enrolled in the EARTH Study prior to 2007,
have a male factor infertility diagnosis, and less likely to have an unexplained
diagnosis. The mean antral follicle count was similar comparing the excluded and
included women (12.6 vs. 14.0, respectively), and this difference was even
smaller after accounting for year of AFC assessment and female age (12.8 vs.
13.4, respectively) suggesting that selection into our cohort was not strongly
associated with our outcome variable and that a complete case analysis would
give unbiased results ( 25 ). The EARTH
study was approved by the Human Studies Institutional Review Boards of MGH and
the Harvard T.H. Chan School of Public Health.
We measured dietary intake using a validated FFQ ( 26 , 27 ). On
this questionnaire, women were asked to report how often, on average, they
consumed specified amounts of each food and beverage during the previous year.
Multivitamin and supplement users were asked to specify brand, dose, and
frequency of use. Nutrient intakes were estimated by summing the contribution of
all relevant food and supplement items and were expressed as daily intakes. The
nutrient content of each food item is obtained from the US Department of
Agriculture with supplemental information from manufacturers ( 28 ). To reduce extraneous variation in intake, folate
was adjusted for total energy intake using the nutrient residual method ( 29 ). Folate intake assess using this
questionnaire has been validated against prospectively collected diet records
(r=0.76)( 27 ) and red blood cell
(r=0.51)( 30 ) and plasma folate levels
(r=0.54) ( 26 ).
AFC was measured by one of the reproductive endocrinology and
infertility physicians from the MGH Fertility Center using transvaginal
ultrasonography performed on the third day of an unstimulated menstrual cycle or
on the third day of a progesterone withdrawal bleed. In women with menstrual
dysfunction, the AFC was measured after ensuring that women were in the early
follicular phase (e.g. endometrial lining was thin, there was no dominant
follicle in the ovaries, and estradiol/progesterone levels were consistent with
early follicular phase). No fertility medications were used in the cycle prior
to the ultrasonography assessment. All antral follicle scans were performed as
part of routine clinical care. To reduce the influence of very high antral
follicle counts, we truncated the measure at 30 (19 women, 3.4%).
At enrollment, height and weight were measured by trained study staff to
calculate body mass index (BMI) (kg/m 2 ) and a brief,
staff-administered questionnaire was used to collect data on demographics,
medical history, and lifestyle. Participants also completed a detailed take-home
questionnaire with additional questions on lifestyle factors, reproductive
health, and medical history. Time spent in leisure time physical activities was
assessed using a validated questionnaire ( 31 ) in which women reported the average time per week they spent
during the preceding year on 11 different activities using 13 response
categories ranging from “never” to “40+ hours per
week”. Clinical information including infertility diagnosis and protocol
type was abstracted from medical records.
We divided women into quartiles of total folate intake and summarized
participant characteristics across these categories. We tested for differences
across quartiles using Kruskal-Wallis test for continuous variables and
Chi-square test for categorical variables. We fit multivariable Poisson
regression models with robust standard errors to estimate the mean AFC and 95%
confidence interval (CI) by quartile of total, supplemental, and food folate
intake. We also estimated the percent difference in AFC by quartile of folate
intake using quartile one as the reference. We ran tests for linear trend across
quartiles using the median value for each quartile as a continuous variable in
the model. Dietary folate was also evaluated as continuous linear variable.
Non-linearity was assessed non-parametrically with restricted cubic splines,
which used the likelihood ratio test comparing the model with the linear term to
the model with the linear and the cubic spline terms ( 32 ).
Confounding was assessed using a priori knowledge in combination with
directed acyclic graphs and descriptive statistics. Using these criteria, the
final multivariable model included total calorie intake (continuous), age
(continuous), BMI (continuous), physical activity (continuous), education
(<College degree, College degree, Graduate degree), smoking status (never
vs ever), year of AFC scan (continuous), and vitamin B12 (continuous), iron
(continuous), and vitamin D intake (continuous). We evaluated whether the
association between total folate intake and AFC was modified by BMI (≥ 25
kg/m 2 and < 25 kg/m 2 ), age (≥ 35 and
< 35 years), and smoking status (current/former and never smokers) by
introducing a cross-product term between the linear trend variable and the
effect modifier to the final multivariable models. If the p-value for the
cross-product term was <0.1 we considered this indicative of possible
effect modification. We additionally investigated whether intake of other B
vitamins (e.g. B1, B2, B3, B5, B6, B12) were related to AFC due to the high
collinearity and synergy between these nutrients and folate and the fact that
they are often codependent on one another for various biological reactions
throughout the body. Finally, we also conducted a sensitivity analysis
restricted to women who returned their FFQ prior their antral follicle scan
(n=188) to address the possibility of bias due to reverse causation. All
statistical analyses were conducted using SAS version 9.4 (SAS Institute Inc.,
Cary, NC, USA). Two-sided p values ≤0.05 were considered statistically
significant.
Discussion
Among our cohort of reproductive aged women attending an infertility clinic,
we found that higher intake of folate was positively associated with AFC at levels
up to 1200 μg/day. There was no additional benefit of higher folate intakes.
This association was driven by intake of supplemental folate intake as opposed to
food folate. While the positive association between folate intake and AFC was robust
to adjustment for other lifestyle and dietary characteristics, the magnitude of
association was modest – for example, the predicted difference in AFC between
a woman consuming 400 versus 800 μg/day of supplemental folate was
~1.5 follicles.
Our findings of a beneficial effect of folate intake on ovarian reserve is
in concordance with prior studies which found a higher rate of conception ( 8 , 15 ),
lower risk of ovulatory infertility ( 10 ),
shorter time to pregnancy ( 11 ), and greater
success with in infertility treatment ( 12 )
among women with higher intake of folate. While, to our knowledge, no other previous
studies have directly assessed the relationship between folate intake and markers of
ovarian reserve, a handful of studies have evaluated menstrual cycle function, which
is closely related to ovarian reserve biomarkers ( 33 ). For example, as follicle numbers gradually decline with age, a
sequence of reproductive events begins to occur, starting with reduced fecundity,
progressing through menstrual cycle irregularity, towards a complete cessation of
menstruation at the menopause. One of the first studies suggesting a possible link
between folic acid intake and menstrual cycles came from the Hungarian NTD
randomized controlled trial, which found that woman randomized to the preconception
multivitamin supplement containing 800 μg/day of folic acid had more regular
menstrual cycles during follow-up compared to women taking the placebo-like trace
element supplement ( 14 ). Similarly, in a
cross-sectional study of Danish pregnancy planners, authors found that compared to
non-users, women taking a folic acid supplement had reduced odds of short menstrual
cycle length (e.g. <27 days) ( 13 ).
Interestingly, a meta-analysis of 11 studies found that short cycle length
(21–27 days) was the menstrual cycle characteristic most closely related to
low ovarian reserve biomarkers ( 33 ). Among a
prospective cohort of US reproductive aged women, those with higher intake of
synthetic folate had higher progesterone levels during the luteal phase of the
menstrual cycle and lower risk of sporadic anovulation, suggesting improved ovarian
function ( 9 ). Similarly, a small, double
blind, placebo-controlled study found that women assigned to the FertilityBlend for
Women supplement (which contained 400 μg/day of folic acid) had a trend
toward increased mean mid-luteal progesterone levels compared to women in the
placebo group ( 15 ). Overall, these previous
studies are consistent with our findings that folate intake, particularly
supplemental folate intake, may be associated with improved ovarian function.
The observed relation between supplemental folate intake and antral follicle
count is biologically plausible. Dietary or genetically determined folate deficiency
leads to mild hyperhomocysteinemia, which has been associated with increased
inflammatory cytokine expression, altered nitric oxide bioavailability, induction of
oxidative stress, activation of apoptosis, and defective methylation ( 17 ) which could in turn lead to enhanced
follicular atresia. Studies among women undergoing in vitro fertilization have shown
that women taking a folic acid supplement have a diminished concentration of
homocysteine (in both follicular fluid and serum), and subsequently present with
better quality oocytes following ovarian stimulation ( 19 ). While current research is limited, there is also a
possibility that ovarian response to endogenous follicle stimulating hormone (FSH)
pulses is decreased in low folate conditions, which could lead to impaired to
ovarian function. In women undergoing controlled hyperstimulation with recombinant
FSH, carriers of the T allele in position 677 of the MTHFR gene, had a decreased
ovarian responsiveness to this hormone ( 18 ),
fewer oocytes retrieved, and granulosa cells that produced less estradiol, basal and
stimulated ( 34 ).
It is possible that our study found stronger associations between
supplemental folate intake as opposed to food folate and AFC because there is a
greater absorption rate of supplemental folate ( 35 ). Natural food folate is present primarily in the reduced
polyglutamated form while synthetic folic acid is a fully oxidized monoglutamate
form of folate. Natural food folate has a lower proportion of folate that is
absorbed and available for metabolic reaction and/or storage compared to folic acid.
Also, the poor stability of food folate under cooking conditions can reduce the
intake of food folate ingested. Due to the mandatory folic acid fortification of
foods (such as ready-to-eat cereals) in the US, there may be a greater
bioavailability of synthetic folate which could explain the association between
supplemental folate and antral follicle count. These fortified foods also tend to
include the other B vitamins, which could possibly explain some of the relationship
observed between B5 and antral follicle count.
Strengths of our study include the use of a validated FFQ to assess diet and
our standardized assessment of AFC, a well-accepted marker of ovarian reserve. We
also benefitted from having a wide range of folate intake in our population which
increased our power to discern an effect and investigate non-linear relationships.
However, our study was not without limitations. Due to the sole inclusion of women
undergoing infertility treatment, who tended to be of older reproductive age, White,
and of high socioeconomic status, the generalizability of our results to all
reproductive aged women is unclear. However, our study participants are comparable
to other fertility patients in the US suggesting that results may be generalizable
to other couples seeking infertility treatment and evaluation ( 36 ). Previous work has also shown that infertile women
<40 years have similar AFCs compared with women of the same age with no
history of infertility ( 37 ), suggesting that
our outcome assessment should not be materially impacted by our choice of study
population. Self-report of diet by FFQ is subject to measurement error. However, we
used a questionnaire known to relate well to biomarker levels ( 30 , 38 ). While
reverse causation is possible given that many women returned the FFQ after their
antral follicle assessment, our sensitivity analysis which focused on the 188 women
with prospective data demonstrated similar results suggesting that this was an
unlikely source of bias. Due to the observational nature of our study, there remains
the possibility of residual confounding by lifestyle factors that were not or poorly
measured. As such, our findings need to be confirmed by others and ideally with a
randomized trial before causality can be implied. For example, comparing a higher
dose of supplemental folate intake (e.g. 800 μg/day) compared to standard
care (e.g. 400 μg/day). Finally, because the MGH Fertility Center only began
routinely measuring anti-Müllerian hormone levels in women starting in 2013
(and the assay changed over time), we did not include this parameter as a marker of
ovarian reserve in our analysis.
In conclusion, higher intake of folate, particularly from supplements, was
associated with modestly improved ovarian reserve as measured by AFC. The positive,
linear association between folate and AFC was only present for intakes between 0 to
1200 μg/day, with little to no benefit observed with higher intakes. Our
results support current recommendations from the Centers for Disease Control and
Prevention that all women planning pregnancy should be consuming at least 400
μg/day of folic acid and suggests that additional benefit may be seen with up
to 800 μg/day. Given the modest effect estimates, our results may have
limited clinical applicability as the reproductive benefits of gaining 1 to 2
additional antral follicles with higher folate intake is unclear. However, our
results do provide interesting biological insight into one potential mechanism that
could be mediating the positive relationships observed between folate and female
fertility. Given the lack of data on this topic, it is important that future
studies, particularly in more diverse populations, are conducted to better
understand the clinical relevance and biological implications of our findings.
Introduction
Infertility, defined as the failure to achieve pregnancy after either 6 or
12 months of unprotected sexual intercourse (for women younger or older than 35
years, respectively), affects 15-25% of couples in western countries ( 1 , 2 ). Given that
the mean age at first birth is rising in most high-income countries and age is the
strongest predictor of infertility, the incidence of infertility is only expected to
increase ( 3 ). Although treatments for
infertility are available, due to the high financial costs, modest success rates,
and limited access ( 4 , 5 ) they may not be sufficient to address infertility on a
population level, highlighting the need to identify modifiable predictors.
It is well established that daily folic acid supplementation in the
periconceptional period can prevent neural tube defects (NTD) ( 6 ). There is also suggestive evidence that higher intake
of this nutrient leads to great reproductive success in women ( 7 ). One of the earliest studies supporting this link was
the Hungarian NTD randomized controlled trial which showed that women consuming a
multivitamin containing 800 μg/day of folic acid had higher rates of
conception compared to the placebo group ( 8 ).
More recent studies also confirm this finding demonstrating that higher folate
intake- most notably folic acid from fortified foods and supplements- is associated
with lower risk of anovulation ( 9 ) and
ovulatory infertility ( 10 ), shorter time to
pregnancy ( 11 ), and greater success with
infertility treatment ( 12 ). Several studies
in reproductive aged women have shown that one pathway through which folic acid
intake may enhance fertility is through beneficial effects on menstrual cycle
function ( 13 - 15 ) including improved hormonal balance and follicular development
( 9 , 16 ). Biologically speaking, low folate intake has been linked to reduced
cell division, disrupted methylation reactions, and increased inflammatory cytokine
production, oxidative stress levels, and apoptosis, all of which could subsequently
lead to enhanced follicular atresia and lower ovarian reserve ( 17 ). Studies from women undergoing infertility treatment
also suggest that folate could have beneficial effects on fertility though oocyte
and embryo quality ( 18 - 21 ).
Interestingly, no studies to date have assessed whether folate may impact
female fertility through effects on ovarian reserve. Antral follicle count (AFC), a
standard measure of ovarian reserve ( 22 ), is
a well-accepted marker of response to treatments and reproductive aging. While
diminished ovarian reserve is major cause of infertility, particularly among older
women, the process leading to reproductive senescence is not well understood. Diet,
which is a modifiable factor, may affect ovarian reserve, however little research
has been done on this topic ( 23 ). Thus, our
objective was to evaluate the association between dietary folate intake and AFC
among women seeing treatment for infertility.
Supplementary Material
Supplemental Figure 1. Associations between B5 intake
and antral follicle count fit using restricted cubic splines among 552 women
in the EARTH Study after multivariable adjustment (panel A) and with further
adjustment for total folate intake (panel B). The solid line represents the
adjusted mean AFC and shaded grey area represents the 95% confidence
interval. Model A is adjusted for total calorie intake, age, BMI, physical
activity, education level, smoking status, year of AFC (antral follicle
count), vitamin B12, iron, and vitamin D intake. Model B adjusts for the
same variables in Model A and folate intake. The p-value for non-linearity
was 0.003 for Model A and 0.0006 for Model B; however, after excluding
outlying B5 intakes above the 95 th percentile, this non-linear
relationship was no longer statistically significant. The x-axis extends
from the 5 th to 95 th percentile of vitamin B5
intake.
Supplemental Figure 2. Association between total folate
intake and antral follicle count among the among the 188 EARTH Study women
who filled out a FFQ prior to their antral follicle scan. The solid line
represents the adjusted mean AFC and the shaded grey area represents the 95%
confidence interval. The models are adjusted for total calorie intake, age,
BMI, physical activity, education level, smoking status, year of AFC (antral
follicle count), vitamin B12, iron, and vitamin D intake. The p-value for
non-linearity was 0.46. The x-axis extends from the 5 th to
95 th percentile of the intake distribution for that
nutrient.
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