IMR Press / RCM / Volume 25 / Issue 2 / DOI: 10.31083/j.rcm2502039
Open Access Original Research
Folate in the United States Population and its Association with Congestive Heart Failure
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1 Department of Cardiology, The First Affiliated Hospital of Zhejiang University School of Medicine, 310003 Hangzhou, Zhejiang, China
*Correspondence: zihuidaoren@163.com (Jinxiu Yang); 1304016@zju.edu.cn (Xingxiang Wang)
These authors contributed equally.
Rev. Cardiovasc. Med. 2024, 25(2), 39; https://doi.org/10.31083/j.rcm2502039
Submitted: 20 August 2023 | Revised: 13 October 2023 | Accepted: 18 October 2023 | Published: 29 January 2024
(This article belongs to the Section Diet and Physical Inactivity)
Copyright: © 2024 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Background: To investigate the relationship between red blood cell (RBC) folate and congestive heart failure (CHF). Methods: We extracted the concentrations of RBC folate and collated CHF information from the National Health and Nutrition Examination Survey (NHANES) survey (12820 individuals). Weighted univariate logistic regression, weighted multivariate logistic regression, and restrictive cubic spline (RCS) were used to assess the relationship between RBC folate concentrations and CHF. Results: The unadjusted model showed that the highest tertile group of RBC folate concentration was significantly associated with a higher risk of CHF compared to the lowest tertile group of RBC folate levels (odds ratio [OR] = 3.09; 95% confidence interval [CI], 2.14–4.46). Similar trends were seen in the multivariate-adjusted analysis (OR = 1.98; 95% CI: 1.27–3.09). The OR was >1.0 when the predicted RBC folate exceeded 2757 nmol/L in the RCS model, indicating that the risk of CHF was low and relatively stable up to a predicted RBC folate level of 2757 nmol/L, but began to increase rapidly thereafter (p = 0.001). Conclusions: The risk of CHF may be increased either by high RBC folate concentrations (highest tertile of RBC folate or >2637 nmol/L) or by folate deficiency. Considering the two sides of the association between RBC folate and CHF, there is a need for large-scale clinical research to better investigate if the association between RBC folate and CHF is a cause-effect relationship, what are the underlying pathophysiological basis, as well as to identify optimal dietary folate equivalent (DFE) and RBC folate concentration intervals.

Keywords
congestive heart failure
red blood cell folate
United States
dietary folate equivalents
restrictive cubic spline
1. Introduction

Congestive heart failure (CHF), a type of cardiovascular disease (CVD), is a complex clinical syndrome with symptoms and signs that result from any structural or functional impairment of ventricular filling or the ejection of blood [1]. Presently, approximately 6 million individuals aged 20 and above in the United States have CHF [2]. Folate is an essential nutrient required for complex biochemical reactions such as nucleotide synthesis and methyl group transfer [3, 4]. Hyperhomocysteine, which is mainly caused by folate deficiency [5], has been widely demonstrated to increase the risk of CHF [5, 6, 7, 8, 9, 10]. The existing body of evidence substantiates that folate intake may reduce plasma homocysteine (Hcy) concentrations [11, 12]. Furthermore, research has revealed a marked contrast in folate consumption between CHF patients and healthy subjects [13].

All dietary folate functions biologically through absorption and conversion to active forms of folate in the body. Red blood cell (RBC) folate is a reliable biomarker of long-lasting folate status and is the endorsed gold standard by the World Health Organization [14]. Notably, a study found that compared with the lowest quintile of RBC folate, the highest quintile was associated with higher CVD mortality [15]. However, prior studies have not yet quantified the relationship between this biomarker and CHF risk. Therefore, it remains unclear whether and to what extent RBC folate concentration is associated with CHF risk. To address this question, our study employed data from a cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) to elucidate the intricate association between RBC folate levels and risk of CHF.

2. Materials and Methods
2.1 Study Population

We used data from the 2011–2020 NHANES, a population-based national cross-sectional survey carried out by the United States Centers for Disease Control and Prevention (CDC). The NHANES consists of examination, interview, and laboratory data. It has a complicated design featuring stratification, multiple stages, and clustered sampling of probability using a non-institutional and nationally representative American civilian population survey.

A total of 54,716 individuals participated in the NHANES from 2011 to 2020. A total of 41,021 participants provided laboratory data on RBC folate, 45,047 individuals provided dietary folate data, and 52,595 individuals completed the Medical Conditions Questionnaire (MCQ). Demographic, laboratory, questionnaire, and dietary data were available for 35,617 individuals after integration. Individuals under the age of 20 years (n = 13,510) or with missing data (n = 9287) were excluded from the study. Finally, 12,820 individuals were included in the study. The data screening process is shown in Fig. 1. The specific statistics for the missing values are shown in Supplementary Fig. 1.

Fig. 1.

Flowchart of the participants. NHANES, the National Health and Nutrition Examination Survey; RBC, red blood cell.

2.2 Assessment of CHF

Participants who answered yes to the MCQ160b questionnaire were considered to have CHF. The use of self-reported CHF as a method to identify a nationally representative cohort of patients with CHF can be considered a reasonable approach [16]. This is supported by the fact that self-reported heart failure (HF) data from the NHANES are included in the American Heart Association’s annual report on CVD and stroke [16]. The specificity of self-reported HF was previously demonstrated to be greater than 99% [17]. Furthermore, self-reported HF has also been used in some studies on HF using the NHANES database [18, 19].

2.3 Assessment of RBC and Dietary Folate Data

The blood samples were handled, frozen at –20 °C, and delivered to the National Center for Environmental Health for examination. A detailed summary of the laboratory methodology can be found on the NHANES website. Because RBC folate is a better indicator of long-term folate status than serum folate [20], we used RBC folate levels in this study. Microbiological assays have been used to measure RBC folate concentrations. Participants were divided into three groups based on RBC folate: lowest tertile group (T1), middle tertile group (T2), and highest tertile group (T3).

The assessment of dietary folate was conducted through the examination of 24-h recall records. The NHANES carried out two evaluations. The initial data collection occurred at a mobile examination center, whereas the subsequent assessment was conducted through telephone interviews after 3–10 days. Research using biomarkers has shown that the 24-h food recalls dietary assessment method has less bias in the assessment of dietary intake than the food frequency questionnaire [21]. Sources of folate intake included naturally occurring folate in food and folic acid, which is the synthetic form of folate. The two bioavailabilities are different [22]. Therefore, the total daily intake of folate and folic acid needs to be translated to dietary folate equivalents (DFEs) to integrate the two sources and account for the higher absorption of folic acid. The equations for calculating the DFE are as follows: Total daily DFE intake (mcg) = [average of food folate reported in the two days of the recall] (µg) + [average of folic acid from fortification and dietary supplements reported in the 2 days of dietary recall] × 1.7 (µg) [22]. Considering that the current recommended daily allowance (RDA) of DFE intake is 400 mcg and the tolerable upper intake level (UL) is 1000 mcg, we used DFE data to divide the population into three groups according to RDA and UL standards (insufficient, <400 mcg; standard, 400–1000 mcg; excess, >1000 mcg).

2.4 Assessment of Covariates

Some variables of sociodemographic characteristics and health-related status were included in the statistical analysis models to adjust for the potential influence of confounding variables. Variables included age (<65, 65), sex (male and female), ethnicity (Mexican American, White, Black, others), educational level (high school or below, college degree and above), marital status (married, others), annual household income (<$35,000, $35,000–$74,999, $75,000), health insurance (yes, no), body mass index (BMI) (<25 kg/m2, 25 kg/m2), stroke (yes, no), diabetes mellitus (DM) (DM, impaired fasting glucose, impaired glucose tolerance, no), hypertension (yes, no), hyperlipidemia (yes, no), alcohol consumption (never, former, mild, moderate, heavy), and smoking status (yes, no). These data were obtained from NHANES-related questionnaires or demographic data. All diagnostic methods and grading information are available on the official NHANES website (https://www.cdc.gov/nchs/nhanes/). Folate deficiency is defined by a cut-off value <317 nmol/L for RBC folate concentration [23].

2.5 Statistical Analyses

All analyses utilized weighted samples and took into account the clustering and stratification of designs to obtain estimates that were applicable to the United States [24]. To provide estimates for the entire 10-year study period, we created a sample of weight variables over 10 years by taking one-fifth of each participant’s weight over 2 years.

For the baseline survey, selected characteristics were presented as mean and standard deviation (continuous variables) or frequency distribution (categorical variables). Analysis of variance for continuous variables and chi-squared tests for categorical variables were applied to test the significance levels of the differences. Univariate and multivariate logistic regression analyses were used to examine the association between RBC folate and the risk of CHF, and odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. The group of individuals whose RBC folate was identified in the lowest tertile was used as the reference. We created models with no adjusted covariates (Model 1); models adjusted solely for sex, age, and ethnicity (Model 2); and models further adjusted for DFE, sex, age, ethnicity, education level, annual household income, marital status, health insurance, smoking status, alcohol consumption, BMI, DM, stroke, hypertension, and hyperlipidemia (Model 3). As many as 3809 patients were excluded from the study simply because of a missing covariate, annual household income. So we removed the covariate of household income for the sake of a larger sample size, retained these participants, and reran the three model analyses mentioned above. We also analyzed the relationship between folate deficiency and CHF after adjusting for the multiple covariates mentioned in Model 3. Moreover, we stratified the analysis by age, sex, ethnicity, BMI, and smoking status. Finally, we constructed a complex model adjusted previously mentioned covariates to predict the dose-response relationship between RBC folate and CHF by using the restrictive cubic spline (RCS) method. We chose the knot when the Akaike information criterion value was the minimum.

R Statistical Software (version 4.3.1, R Foundation for Statistical Computing, Vienna, Austria) was used for all analyses. p < 0.05 (two-tailed) was considered statistically significant.

3. Results
3.1 Baseline Characteristics

A total of 9287 participants were excluded due to the presence of missing values, and these participants were younger and had a greater proportion of females and blacks than those included in the study. The specific missing values are shown in Supplementary Fig. 1. The 12,820 NHANES participants represented 143.06 million non-institutionalized residents of the United States. The average age of the participants was 49.34 ± 17.45 years, of whom 52.8% were women. A total of 408 patients with CHF accounted for 3.18%. In the different tertile groups of RBC folate, age, DFE, BMI, sex, ethnicity, prevalence rate, folate deficiency, annual household income, education level, marital status, health insurance, DM, hyperlipidemia, hypertension, stroke, smoking status, and alcohol consumption were significantly different. Compared with the lowest tertile group of RBC folate, participants in the highest tertile group were older on average, had more daily DFE, were more likely to be female, and had a higher prevalence of CHF. The characteristics of the study sample are presented in Table 1.

Table 1.Baseline characteristics of NHANES participants.
Variables Stratified by RBC folate (nmol/L) p-value
T1 T2 T3
N 12,820 4257 4206 4357
Age (years) (mean [SD]) 49.3 (17.5) 44.9 (16.7) 47.6 (16.8) 55.4 (17.1) <0.001
DFE (mcg/d) (mean [SD]) 512.3 (310.0) 465.3 (286.9) 523.5 (310.9) 547.4 (325.1) <0.001
BMI (kg/m2) (mean [SD]) 29.5 (7.2) 29.1 (7.4) 29.5 (7.1) 29.9 (7.0) <0.001
Sex (%)
Female 6765 (52.8) 2192 (51.5) 2156 (51.3) 2417 (55.5) <0.001
Male 6055 (47.2) 2065 (48.5) 2050 (48.7) 1940 (44.5)
Ethnicity (%)
Mexican 1650 (12.9) 544 (12.8) 647 (15.4) 459 (10.5) <0.001
Black 2828 (22.1) 1408 (33.1) 808 (19.2) 612 (14.0)
White 5296 (41.3) 1256 (29.5) 1658 (39.4) 2382 (54.7)
Other 3046 (23.8) 1049 (24.6) 1093 (26.0) 904 (20.7)
CHF (%)
No 12,412 (96.8) 4167 (97.9) 4090 (97.2) 4155 (95.4) <0.001
Yes 408 (3.2) 90 (2.1) 116 (2.8) 202 (4.6)
Folate deficiency (%)
No 12,772 (99.6) 4209 (98.9) 4206 (100.0) 4357 (100.0) <0.001
Yes 48 (0.4) 48 (1.1) 0 (0.0) 0 (0.0)
Income (%)
$35,000–$74,999 956 (7.5) 322 (7.6) 300 (7.1) 334 (7.7) <0.001
<$35,000 10,023 (78.2) 3404 (80.0) 3281 (78.0) 3338 (76.6)
$75,000 1841 (14.4) 531 (12.5) 625 (14.9) 685 (15.7)
Education (%)
College degree 3761 (29.3) 1204 (28.3) 1209 (28.7) 1348 (30.9) 0.015
High school 9059 (70.7) 3053 (71.7) 2997 (71.3) 3009 (69.1)
Marital status (%)
Married 6561 (51.2) 1859 (43.7) 2203 (52.4) 2499 (57.4) <0.001
Others 6259 (48.8) 2398 (56.3) 2003 (47.6) 1858 (42.6)
Health insurance (%)
No 2444 (19.1) 1038 (24.4) 859 (20.4) 547 (12.6) <0.001
Yes 10,376 (80.9) 3219 (75.6) 3347 (79.6) 3810 (87.4)
DM (%)
DM 2449 (19.1) 631 (14.8) 745 (17.7) 1073 (24.6) <0.001
IFG 596 (4.6) 194 (4.6) 202 (4.8) 200 (4.6)
IGT 470 (3.7) 146 (3.4) 127 (3.0) 197 (4.5)
No 9305 (72.6) 3286 (77.2) 3132 (74.5) 2887 (66.3)
Hyperlipidemia (%)
No 3857 (30.1) 1464 (34.4) 1333 (31.7) 1060 (24.3) <0.001
Yes 8963 (69.9) 2793 (65.6) 2873 (68.3) 3297 (75.7)
Hypertension (%)
No 7288 (56.8) 2675 (62.8) 2570 (61.1) 2043 (46.9) <0.001
Yes 5532 (43.2) 1582 (37.2) 1636 (38.9) 2314 (53.1)
Stroke (%)
No 12,353 (96.4) 4131 (97.0) 4076 (96.9) 4146 (95.2) <0.001
Yes 467 (3.6) 126 (3.0) 130 (3.1) 211 (4.8)
Smoker (%)
No 10,430 (81.4) 3174 (74.6) 3439 (81.8) 3817 (87.6) <0.001
Yes 2390 (18.6) 1083 (25.4) 767 (18.2) 540 (12.4)
Alcohol consumption (%)
Former 1878 (14.6) 551 (12.9) 569 (13.5) 758 (17.4) <0.001
Heavy 2419 (18.9) 926 (21.8) 865 (20.6) 628 (14.4)
Mild 4596 (35.9) 1452 (34.1) 1489 (35.4) 1655 (38.0)
Moderate 2111 (16.5) 746 (17.5) 726 (17.3) 639 (14.7)
Never 1816 (14.2) 582 (13.7) 557 (13.2) 677 (15.5)

CHF, congestive heart failure; BMI, body mass index; DFE, dietary folate equivalent; DM, diabetes mellitus; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; SD, standard deviation; NHANES, the National Health and Nutrition Examination Survey; RBC, red blood cell; N, number; T1, lowest tertile group; T2, middle tertile group; T3, highest tertile group.

3.2 Association of RBC Folate Concentration and DFE with CHF

In the three different tertile groups, there were 90, 116, and 202 cases of CHF, respectively. Overall, the prevalence of CHF increased progressively from the low to high folate concentration group (T1: 2.11%, T2: 2.76%, T3: 4.64%). The unadjusted model showed that the highest tertile group of RBC folate concentration was significantly associated with a higher risk of CHF compared to the lowest tertile group of RBC folate levels (OR = 3.09; 95% CI, 2.14–4.46). The harmful association remained after adjusting for age, sex, and ethnicity (OR = 1.75; 95% CI, 1.16–2.63). Similar trends were seen in the multivariate-adjusted analysis (OR = 1.98; 95% CI: 1.27–3.09) (Table 2). Compared with the lowest tertile group of RBC folate concentration, the prevalence of CHF in the highest tertile group increased by 98%. In addition, we found that inadequate DFE (<400 mcg/d) intake was also associated with an increased risk of CHF compared with standard DFE (OR = 1.63; 95% CI: 1.22–2.17). However, as DFE continued to increase and above UL (1000 mcg), the association with CHF was no longer significant. The specific results of the multivariate adjustment model can be found in Supplementary Fig. 2.

Table 2.Association between RBC folate (nmol/L) and CHF, stratified by sex.
Events/PR (n/%) Model 1 OR (95% CI) Model 2 OR (95% CI) Model 3 OR (95% CI)
Total
T1 90/2.11% Ref Ref Ref
T2 116/2.76% 1.43 (1.01, 2.04) 1.31 (0.92, 1.86) 1.51 (1.00, 2.27)
T3 202/4.64% 3.09 (2.14, 4.46) 1.75 (1.16, 2.63) 1.98 (1.27, 3.09)
p for trend p < 0.001 p = 0.01 p = 0.005
Male
T1 43/2.11% Ref Ref Ref
T2 66/3.26% 1.44 (0.80, 2.59) 1.38 (0.75, 2.54) 1.52 (0.76, 3.06)
T3 105/5.47% 3.26 (1.86, 5.70) 1.72 (0.93, 3.17) 1.85 (0.93, 3.71)
p for trend p < 0.001 p = 0.09 p = 0.09
Female
T1 46/2.10% Ref Ref Ref
T2 48/2.23% 1.42 (0.86, 2.35) 1.26 (0.76, 2.10) 1.58 (0.87, 2.86)
T3 96/3.97% 2.95 (1.94, 4.51) 1.79 (1.09, 2.96) 2.11 (1.26, 3.54)
p for trend p < 0.001 p = 0.02 p = 0.005

PR, prevalence rate; OR, odds ratio; CI, confidence interval; CHF, congestive heart failure; BMI, body mass index; CHF, congestive heart failure; DFE, dietary folate equivalent; DM, diabetes mellitus; RBC, red blood cell; T1, lowest tertile group; T2, middle tertile group; T3, highest tertile group.
Model 1: Unadjusted model.
Model 2: Sex, age, and ethnicity adjusted model.
Model 3: Multivariate-adjusted model including DFE, sex, age, ethnicity, education levels, annual household incomes, marital status, health insurance, smoking status, alcohol consumption, BMI, DM, stroke and hypertension, and hyperlipidemia.

The association remained unchanged in women. Compared to the lowest tertile group of RBC folate levels, the highest tertile group of RBC folate concentration was significantly associated with a higher risk of CHF, with an OR (95% CI) of 2.95 (1.94, 4.51) for unadjusted, 1.79 (1.09, 2.96) for age, sex, and ethnicity adjusted, and 2.11 (1.26, 3.54) for the multivariate-adjusted model. However, this relationship did not exist in men. Only the unadjusted model showed such an association with OR (95% CI) of 3.26 (1.86, 5.70); the relationship between RBC folate and CHF was no longer significant after adjustment. The same relationship existed after increasing the sample size by retaining participants who were excluded due to missing annual household income (Supplementary Table 1).

Only 48 patients had folate deficiency, with a weighted prevalence of 3.7‰. We found that folate deficiency could increase the risk of CHF after adjusting for DFE, sex, age, ethnicity, education level, annual household income, marital status, health insurance, smoking status, alcohol consumption, BMI, DM, stroke and hypertension, and hyperlipidemia (OR = 4.92; 95% CI, 1.11–21.8, p = 0.04).

In addition, we also performed quantitative analyses. We used a complicated RCS model and visualized the predicted relationship between RBC folate and risk of CHF. The OR was >1.0 when the predicted RBC folate exceeded 2757 nmol/L (Fig. 2). The risk of CHF was low and relatively stable until the level of predicted RBC folate was 2757 nmol/L but began to increase rapidly thereafter (p = 0.001), which suggests that excessive RBC folate can increase the risk of CHF.

Fig. 2.

The RCS analysis of red blood cell (RBC) folate concentrations and risk of congestive heart failure (CHF). RCS, restrictive cubic spline; BMI, body mass index; CI, confidence interval. Models adjusted for dietary folate equivalent (DFE), sex, age, ethnicity, education levels, annual household incomes, marital status, health insurance, smoking status, alcohol consumption, BMI, diabetes mellitus (DM), stroke and hypertension, and hyperlipidemia. We chose the five knots when the Akaike information criterion (AIC) value was the minimum. The odds ratio (OR) was >1.0 when the predicted RBC folate level was >2757 nmol/L (p-value for non-linearity = 0.001).

3.3 Association of RBC Folate Concentration with CHF Stratified by Participants’ Features

We stratified the analysis by age, sex, ethnicity, BMI, and smoking status. The results were broadly consistent with our previous finding that the highest tertile group, compared with the lowest tertile group, may increase the risk of CHF (Fig. 3). There was no interaction across all subgroups. However, this relationship was only significant in females (OR = 2.11; 95% CI: 1.26–3.54) and not in males (OR = 1.85; 95% CI: 0.93–3.71). In addition to differences in sex subgroups, there were also differences in ethnic subgroups. In the multivariate-adjusted model, the association was present only in White (OR = 2.03; 95% CI: 1.10–3.72) and Black (OR = 2.16; 95% CI: 1.06–4.42) participants.

Fig. 3.

Association of RBC folate tertile with CHF stratified by participant’s characteristics. OR, odds ratio; CI, confidence interval; BMI, body mass index; CHF, congestive heart failure; RBC, red blood cell; DFE, dietary folate equivalent; DM, diabetes mellitus; T2, middle tertile group; T3, highest tertile group. The multivariate-adjusted model included DFE, sex, age, ethnicity, education levels, annual household incomes, marital status, health insurance, smoking status, alcohol consumption, BMI, DM, stroke and hypertension, and hyperlipidemia.

4. Discussion

Based on data from a nationally representative United States survey across 10 years (2011–2020), we investigated the relationship between RBC folate and the prevalence of CHF. To the best of our knowledge, this is the first study to extensively explore this relationship using a world-class dataset. Notably, our findings suggest the dual nature of RBC folate’s impact on CHF risk: either excessive levels (the highest tertile) or deficiency in RBC folate might increase the risk of CHF.

Multivariate-adjusted logistic regression analysis revealed several factors associated with an increased risk of CHF, including high RBC folate concentrations (the highest tertile or >2757 nmol/L), folate deficiency (<317 nmol/L), insufficient dietary folate (mcg <40 µg), older age, male sex, smoking status, DM, hyperlipidemia, hypertension, history of stroke, and annual household income under $35,000. While further discussion is warranted for each identified factor, this research focused specifically on delineating the relationship between RBC folate concentrations and CHF risk.

A novel finding of this study is that the prevalence of CHF was higher in the highest tertile group compared to the lowest tertile group of RBC folate concentration. Our findings remained consistent and robust across both univariate and multivariate logistic regression models, as well as subgroup analyses, demonstrating an increased risk of CHF associated with the highest tertile of RBC folate concentrations. However, it is important to note that this trend was not consistently observed within certain subgroups in the Mexican-American or male populations. Interestingly, there was no interaction between all subgroups. Therefore, we determined whether the threshold at which elevated RBC folate concentrations would increase the risk of CHF in male and Mexican-American populations would not be consistent with other subgroups. To test this hypothesis, we divided the male and Mexican-American populations into four groups by the quartiles of RBC folate and then reran the model. We found that the highest quartile of RBC folate increased the risk of CHF compared with the lowest quartile (OR = 2.26; 95% CI: 1.12–4.56) in male populations, and a similar trend was also found in Mexican-Americans (OR = 3.49; 95% CI: 1.00–12.14). Thus, the conclusion that high levels of RBC folate may increase the risk of CHF is consistent and reliable. The results of the quantitative analyses of RCS were also consistent. The risk of CHF was low and relatively stable up to a predicted RBC folate level of 2757 nmol/L, but then began to increase rapidly, suggesting that excessive RBC folate may increase the risk of CHF. Although no studies have found that high levels of RBC folate may increase the risk of CHF, one study showed that high levels of RBC folate may increase CVD mortality [15]. A study from NHANES spanning six cycles from 2003 to 2014 with a total of 14,234 participants with high-risk factors for CVD found that compared with the lowest quintile of RBC folate, the highest quintile was associated with higher CVD mortality (hazard ratio: 1.40, 95% CI: 1.02–1.93; p = 0.030) [15].

Research suggests that high RBC folate concentrations may increase the risk of CHF possibly due to high folate levels impairing normal folate physiological function [25]. Excessive folate will accumulate in the circulation if it is not utilized, thus reducing the formation of thymidylate and leading to the inhibition of aberrant DNA methylation [26] and DNA synthesis [25]. Another possible reason is that high concentrations of RBC folate may inhibit folate-dependent enzymes for which RBC folate is a substrate, thereby affecting normal biochemical reactions [27]. Furthermore, excessive RBC folate can induce the cytotoxicity of natural killer (NK) cells [28]. The activation of NK cells can lead to the secretion of proinflammatory cytokines [29], possibly resulting in increased risk of CVD and all-cause mortality [30, 31, 32]. These factors may represent mechanisms underlying the harmful effects of a folate overdose, although this still needs to be verified.

It has been almost 24 years since mandatory folic acid fortification was introduced in the United States. The prevalence of folate deficiency persisted at <1% over the entire 25-year period [23]. Our study included only 48 participants with folate deficiency. After performing multivariate logistic regression analysis with CHF, the resulting CI was wide. Thus, our study did not present sufficient evidence that folate deficiency can increase the risk of CHF. Nevertheless, previous studies suggest that folate deficiency may increase the risk of CHF [5, 33]. And folate is a free radical scavenger that acts as an antioxidant, protecting the organism from damage caused by the accumulation of free radicals [34]. Its antioxidant role is very important in CVD [35]. In addition to oxidative stress, a deficiency of one or more B vitamins (including folate) may impair ATP production. ATP depletion causes the weakening of cardiac muscle, which eventually leads to HF [36]. A prospective cohort study found that elevated total Hcy concentration independently predicted the risk of occurrence of CHF in adults [9]. Hyperhomocysteinemia can damage the endothelium and blood vessel wall, having a negative impact on the mechanisms underlying CHF, such as oxidative stress and inflammation [37]. Some animal experiments have shown that hyperhomocysteinemia might cause myocardium fibrosis and diastolic dysfunction in rats [38, 39]. In addition to high Hcy, some studies have shown that uric acid (UA) is positively associated with an increased risk of incident CHF [40, 41]. However, folate and its derivatives may reduce UA by inactivating xanthine oxidoreductase, the enzyme responsible for the oxidation of hypoxanthine to xanthine and xanthine to UA [42]. Thus, folate may also reduce the risk of CHF by lowering UA. It is not difficult to deduce that folate deficiency may therefore increase the risk of CHF. It is worth mentioning that the low RBC folate concentration in our study was just relative to the total population, which is the concentration after folic acid fortification, and not equivalent to folate deficiency. Therefore, the low RBC folate concentration in our study may not increase the risk of CHF. This may be the reason why the risk of CHF is not greater at the lower levels of RBC folate in the RCS curve.

This study showed that insufficient DFE (<400 mcg) intake also increased the risk of CHF, consistent with previous prospective studies that reported the inverse association of increasing dietary folate intake with lower CVD mortality [15, 43]. Some studies have shown that increased DFE intake also reduces the risk of hyperuricemia [44] and hyperhomocysteinemia [45], which may ultimately reduce CHF risk. However, the cardioprotective effect did not increase proportionally as DFE intake was above the UL. Notably, the correlation between RBC folate concentration and DFE was found to be weak (Spearman’s r = 0.14, p < 0.001), as RBC folate is influenced by numerous factors such as fortified products or supplements containing folic acid [46], folate requirements, absorption [46], and polymorphisms in folate metabolizing enzymes [47, 48], sex [46], age [49], and smoking [50]. Furthermore, in a study conducted by the NHANES, even though DFE intake remained the same, there was a notable increase in RBC folate concentrations as individuals aged [51]. Older subjects are more likely to develop CHF. In our study, 61.5% of CHF patients were older than 65 years of age, and these CHF patients still had higher RBC folate concentrations even with insufficient folate intake. Therefore, we should focus on DFE in the elderly to avoid excessive intake and an increase in CHF risk.

Our analyses found that folate deficiency exacerbates the risk of CHF. This illustrates the protectiveness and effectiveness of the folic acid fortification programs. In consideration of this, we believe that folic acid fortification should continue to be vigorously implemented. Following the RDA, we found that insufficient DFE is associated with an increased risk of CHF, thus requiring clinicians, health managers, and nurses to promote people to achieve the RDA. However, considering the two sides of RBC folate for CHF, to avoid excessive folate intake and high RBC folate concentration, there is a critical need for large-scale clinical research to identify safe DFE and RBC folate concentration intervals. In light of the prevalence of CHF and the associated morbidity and mortality, nutritional strategies to promote appropriate amounts are important areas for further research [52]. Furthermore, DFE and RBC folate levels should also be considered in the overall management of patients with CHF.

This study had several limitations. Firstly, our findings can be generalized to the United States population only. Secondly, the present study had a cross-sectional design. Thus, our findings are limited to the potential association but not causation between CHF and RBC folate, and the underlying mechanism remains elusive. Thirdly, excluding about 50% of participants due to missing data is a limitation which could potentially impact the final quantitative results. Finally, there is a restriction in particular due to the sensitivity of self-reported CHF. Patients did not report having CHF until they went to the hospital and were diagnosed with CHF by a doctor, and patients with less severe CHF who were not hospitalized and who did not have a definitive CHF diagnosis may have been unaware they have CHF and may not have reported CHF.

5. Conclusions

The risk of CHF may be increased either by high RBC folate concentrations (highest tertile of RBC folate or >2637 nmol/L) or by folate deficiency. Considering the two sides of the association between RBC folate and CHF, there is a need for large-scale clinical research to better investigate if the association between RBC folate and CHF is a cause-effect relationship, what are the underlying pathophysiological basis, as well as to identify optimal DFE and RBC folate concentration intervals.

Abbreviations

CHF, congestive heart failure; RBC, red blood cell; DFE, dietary folate equivalent; NHANES, National Health and Nutrition Examination Survey; RCS, restrictive cubic spline; OR, odds ratio; CI, confidence interval; ATP, adenosine triphosphate; Hcy, homocysteine; MCQ, Medical Conditions Questionnaire; RDA, recommended daily allowance; UL, tolerable upper intake level; CDC, Centers for Disease Control and Prevention; BMI, body mass index; DM, diabetes mellitus.

Availability of Data and Materials

All data is open source and all data is available from the website at the following address: https://wwwn.cdc.gov/Nchs/Nhanes/.

Author Contributions

LBW designed the research study. LBW, FCY, and TXY performed the research. JXY and XXW provided help and advice on study design and research performance. LBW, ZNS, JRS, and YPZ analyzed the data. LBW and FCY wrote the manuscript. All authors contributed to editorial changes in the manuscript. All authors read and approved the final manuscript. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work.

Ethics Approval and Consent to Participate

Not applicable.

Acknowledgment

We would like to thank Zhang Jing (Shanghai Tongren Hospital) for his work on the NHANES database. His outstanding work involving the nhanesR package and webpage significantly facilitated our exploration of the NHANES database. We thank International Science Editing (http://www.internationalscienceediting.com) for editing this manuscript.

Funding

This research was funded by the National Natural Science Foundation of China and the Natural Science Foundation of Zhejiang Province, grant number: NSFC81400192, NSFC82070050, LY19H020002.

Conflict of Interest

The authors declare no conflict of interest.

References
[1]
Heidenreich PA, Bozkurt B, Aguilar D, Allen LA, Byun JJ, Colvin MM, et al. 2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2022; 145: e895–e1032.
[2]
Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, et al. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association. Circulation. 2021; 143: e254–e743.
[3]
Lane AN, Fan TWM. Regulation of mammalian nucleotide metabolism and biosynthesis. Nucleic Acids Research. 2015; 43: 2466–2485.
[4]
Houston M. The role of nutrition and nutraceutical supplements in the treatment of hypertension. World Journal of Cardiology. 2014; 6: 38–66.
[5]
Herrmann M, Müller S, Kindermann I, Günther L, König J, Böhm M, et al. Plasma B vitamins and their relation to the severity of chronic heart failure. The American Journal of Clinical Nutrition. 2007; 85: 117–123.
[6]
Fournier P, Fourcade J, Roncalli J, Salvayre R, Galinier M, Caussé E. Homocysteine in Chronic Heart Failure. Clinical Laboratory. 2015; 61: 1137–1145.
[7]
Vizzardi E, Bonadei I, Zanini G, Fiorina C, Raddino R, Dei Cas L. Homocysteine: a casual link with heart failure? Minerva Medica. 2009; 100: 421–427.
[8]
Herrmann M, Taban-Shomal O, Hübner U, Böhm M, Herrmann W. A review of homocysteine and heart failure. European Journal of Heart Failure. 2006; 8: 571–576.
[9]
Vasan RS, Beiser A, D’Agostino RB, Levy D, Selhub J, Jacques PF, et al. Plasma homocysteine and risk for congestive heart failure in adults without prior myocardial infarction. JAMA. 2003; 289: 1251–1257.
[10]
Gibelin P, Serre S, Candito M, Houcher B, Berthier F, Baudouy M. Prognostic value of homocysteinemia in patients with congestive heart failure. Clinical Chemistry and Laboratory Medicine. 2006; 44: 813–816.
[11]
Brattström L. Vitamins as homocysteine-lowering agents. The Journal of Nutrition. 1996; 126: 1276S–1280S.
[12]
Selhub J, Jacques PF, Wilson PW, Rush D, Rosenberg IH. Vitamin status and intake as primary determinants of homocysteinemia in an elderly population. JAMA. 1993; 270: 2693–2698.
[13]
Catapano G, Pedone C, Nunziata E, Zizzo A, Passantino A, Incalzi RA. Nutrient intake and serum cytokine pattern in elderly people with heart failure. European Journal of Heart Failure. 2008; 10: 428–434.
[14]
World Health Organization. WHO Guidelines Approved by the Guidelines Review Committee. In Guideline: Optimal Serum and Red Blood Cell Folate Concentrations in Women of Reproductive Age for Prevention of Neural Tube Defects. Geneva. 2015.
[15]
Xu X, Wei W, Jiang W, Song Q, Chen Y, Li Y, et al. Association of folate intake with cardiovascular-disease mortality and all-cause mortality among people at high risk of cardiovascular-disease. Clinical Nutrition. 2022; 41: 246–254.
[16]
Hanlon JT, Pieper CF, Hajjar ER, Sloane RJ, Lindblad CI, Ruby CM, et al. Incidence and predictors of all and preventable adverse drug reactions in frail elderly persons after hospital stay. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences. 2006; 61: 511–515.
[17]
Gure TR, McCammon RJ, Cigolle CT, Koelling TM, Blaum CS, Langa KM. Predictors of self-report of heart failure in a population-based survey of older adults. Circulation. Cardiovascular Quality and Outcomes. 2012; 5: 396–402.
[18]
Goyal P, Bryan J, Kneifati-Hayek J, Sterling MR, Banerjee S, Maurer MS, et al. Association Between Functional Impairment and Medication Burden in Adults with Heart Failure. Journal of the American Geriatrics Society. 2019; 67: 284–291.
[19]
Kennel PJ, Kneifati-Hayek J, Bryan J, Banerjee S, Sobol I, Lachs MS, et al. Prevalence and determinants of Hyperpolypharmacy in adults with heart failure: an observational study from the National Health and Nutrition Examination Survey (NHANES). BMC Cardiovascular Disorders. 2019; 19: 76.
[20]
Li M, Chen X, Zhang Y, Chen H, Wang D, Cao C, et al. RBC Folate and Serum Folate, Vitamin B-12, and Homocysteine in Chinese Couples Prepregnancy in the Shanghai Preconception Cohort. The Journal of Nutrition. 2022; 152: 1496–1506.
[21]
Prentice RL, Mossavar-Rahmani Y, Huang Y, Van Horn L, Beresford SAA, Caan B, et al. Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers. American Journal of Epidemiology. 2011; 174: 591–603.
[22]
Zempleni J RR, McCormic D, Suttie J. Handbook of Vitamins. 4th edn. CRC Press: New York. 2007.
[23]
Pfeiffer CM, Hughes JP, Lacher DA, Bailey RL, Berry RJ, Zhang M, et al. Estimation of trends in serum and RBC folate in the U.S. population from pre- to postfortification using assay-adjusted data from the NHANES 1988-2010. The Journal of Nutrition. 2012; 142: 886–893.
[24]
van der Wal HH, Comin-Colet J, Klip IT, Enjuanes C, Grote Beverborg N, Voors AA, et al. Vitamin B12 and folate deficiency in chronic heart failure. Heart. 2015; 101: 302–310.
[25]
Morris MS, Jacques PF, Rosenberg IH, Selhub J. Folate and vitamin B-12 status in relation to anemia, macrocytosis, and cognitive impairment in older Americans in the age of folic acid fortification. The American Journal of Clinical Nutrition. 2007; 85: 193–200.
[26]
Ericson U, Sonestedt E, Gullberg B, Olsson H, Wirfält E. High folate intake is associated with lower breast cancer incidence in postmenopausal women in the Malmö Diet and Cancer cohort. The American Journal of Clinical Nutrition. 2007; 86: 434–443.
[27]
Nijhout HF, Reed MC, Budu P, Ulrich CM. A mathematical model of the folate cycle: new insights into folate homeostasis. The Journal of Biological Chemistry. 2004; 279: 55008–55016.
[28]
Troen AM, Mitchell B, Sorensen B, Wener MH, Johnston A, Wood B, et al. Unmetabolized folic acid in plasma is associated with reduced natural killer cell cytotoxicity among postmenopausal women. The Journal of Nutrition. 2006; 136: 189–194.
[29]
Zitti B, Bryceson YT. Natural killer cells in inflammation and autoimmunity. Cytokine & Growth Factor Reviews. 2018; 42: 37–46.
[30]
Knorr M, Münzel T, Wenzel P. Interplay of NK cells and monocytes in vascular inflammation and myocardial infarction. Frontiers in Physiology. 2014; 5: 295.
[31]
Ong S, Rose NR, Čiháková D. Natural killer cells in inflammatory heart disease. Clinical Immunology. 2017; 175: 26–33.
[32]
Zeng C, Wang R, Tan H. Role of Pyroptosis in Cardiovascular Diseases and its Therapeutic Implications. International Journal of Biological Sciences. 2019; 15: 1345–1357.
[33]
Witte KKA, Desilva R, Chattopadhyay S, Ghosh J, Cleland JGF, Clark AL. Are hematinic deficiencies the cause of anemia in chronic heart failure? American Heart Journal. 2004; 147: 924–930.
[34]
Stroes ES, van Faassen EE, Yo M, Martasek P, Boer P, Govers R, et al. Folic acid reverts dysfunction of endothelial nitric oxide synthase. Circulation Research. 2000; 86: 1129–1134.
[35]
Shirodaria C, Antoniades C, Lee J, Jackson CE, Robson MD, Francis JM, et al. Global improvement of vascular function and redox state with low-dose folic acid: implications for folate therapy in patients with coronary artery disease. Circulation. 2007; 115: 2262–2270.
[36]
Georgiopoulos G, Chrysohoou C, Vogiatzi G, Magkas N, Bournelis I, Bampali S, et al. Vitamins in Heart Failure: Friend or Enemy? Current Pharmaceutical Design. 2017; 23: 3731–3742.
[37]
Bajic Z, Sobot T, Skrbic R, Stojiljkovic MP, Ponorac N, Matavulj A, et al. Homocysteine, Vitamins B6 and Folic Acid in Experimental Models of Myocardial Infarction and Heart Failure-How Strong Is That Link? Biomolecules. 2022; 12: 536.
[38]
Joseph J, Joseph L, Shekhawat NS, Devi S, Wang J, Melchert RB, et al. Hyperhomocysteinemia leads to pathological ventricular hypertrophy in normotensive rats. American Journal of Physiology. Heart and Circulatory Physiology. 2003; 285: H679–H686.
[39]
Joseph J, Loscalzo J. Methoxistasis: integrating the roles of homocysteine and folic acid in cardiovascular pathobiology. Nutrients. 2013; 5: 3235–3256.
[40]
Stone ML, Richardson MR, Guevara L, Rand BG, Churilla JR. Elevated Serum Uric Acid and Self-Reported Heart Failure in US Adults: 2007-2016 National Health and Nutrition Examination Survey. Cardiorenal Medicine. 2019; 9: 344–353.
[41]
Huang H, Huang B, Li Y, Huang Y, Li J, Yao H, et al. Uric acid and risk of heart failure: a systematic review and meta-analysis. European Journal of Heart Failure. 2014; 16: 15–24.
[42]
Lewis AS, Murphy L, McCalla C, Fleary M, Purcell S. Inhibition of mammalian xanthine oxidase by folate compounds and amethopterin. The Journal of Biological Chemistry. 1984; 259: 12–15.
[43]
Cui R, Iso H, Date C, Kikuchi S, Tamakoshi A, Japan Collaborative Cohort Study Group. Dietary folate and vitamin b6 and B12 intake in relation to mortality from cardiovascular diseases: Japan collaborative cohort study. Stroke. 2010; 41: 1285–1289.
[44]
Zhang Y, Qiu H. Folate, Vitamin B6 and Vitamin B12 Intake in Relation to Hyperuricemia. Journal of Clinical Medicine. 2018; 7: 210.
[45]
Selhub J, Bagley LC, Miller J, Rosenberg IH. B vitamins, homocysteine, and neurocognitive function in the elderly. The American Journal of Clinical Nutrition. 2000; 71: 614S–620S.
[46]
Hoey L, McNulty H, Askin N, Dunne A, Ward M, Pentieva K, et al. Effect of a voluntary food fortification policy on folate, related B vitamin status, and homocysteine in healthy adults. The American Journal of Clinical Nutrition. 2007; 86: 1405–1413.
[47]
Crider KS, Zhu JH, Hao L, Yang QH, Yang TP, Gindler J, et al. MTHFR 677C->T genotype is associated with folate and homocysteine concentrations in a large, population-based, double-blind trial of folic acid supplementation. The American Journal of Clinical Nutrition. 2011; 93: 1365–1372.
[48]
Tsang BL, Devine OJ, Cordero AM, Marchetta CM, Mulinare J, Mersereau P, et al. Assessing the association between the methylenetetrahydrofolate reductase (MTHFR) 677C>T polymorphism and blood folate concentrations: a systematic review and meta-analysis of trials and observational studies. The American Journal of Clinical Nutrition. 2015; 101: 1286–1294.
[49]
Bailey LB, Stover PJ, McNulty H, Fenech MF, Gregory JF, 3rd, Mills JL, et al. Biomarkers of Nutrition for Development-Folate Review. The Journal of Nutrition. 2015; 145: 1636S–1680S.
[50]
Rasmussen LB, Ovesen L, Bülow I, Knudsen N, Laurberg P, Perrild H. Folate intake, lifestyle factors, and homocysteine concentrations in younger and older women. The American Journal of Clinical Nutrition. 2000; 72: 1156–1163.
[51]
Rycyna KJ, Bacich DJ, O’Keefe DS. Divergence between dietary folate intake and concentrations in the serum and red blood cells of aging males in the United States. Clinical Nutrition. 2016; 35: 928–934.
[52]
Hughes CM, Woodside JV, McGartland C, Roberts MJ, Nicholls DP, McKeown PP. Nutritional intake and oxidative stress in chronic heart failure. Nutrition, Metabolism, and Cardiovascular Diseases. 2012; 22: 376–382.

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