†These authors contributed equally.
Academic Editor: Graham Pawelec
Background and objectives: Vascular Endothelial Growth Factor (VEGF) is
an essential regulator of vascular biology. In addition to the well-established
role in angiogenesis, circulating VEGF levels were found elevated in severely
anemic patients, pointing out that anemia might affect the progression of
angiogenesis in malignant and benign diseases through the alteration of VEGF
levels. Ten single nucleotide polymorphisms (SNPs) in VEGFA and other
loci were shown to explain more than 50% of its circulating levels. This study
investigated the association of those ten VEGF-related SNPs with serum iron
levels in a general Lebanese population free of chronic diseases (N = 460).
Result: We found that the rs10738760 and the body mass index (BMI) were
associated with decreased Iron levels (p = 0.002, and p
Low serum iron levels have significant pathologic consequences, including but not limited to anemia [1]. Several predisposing factors were reported, such as female sex and microbial infections [2, 3]. Some previous studies have suggested that increased body mass index (BMI) might be a risk factor for low serum iron [4, 5]. Population-based studies showed that low serum iron levels are associated with an increased risk of CVD, supporting the possibility that there is an inverse association between serum iron levels and risk of mortality [6]. Going into the same direction, evidence from cross-sectional case-control studies revealed that serum iron was significantly lower in patients with myocardial infarction than in controls, suggesting that low stored iron levels are a risk factor for premature CVD [7]. The first study addressing iron status in children and adolescents in Lebanon revealed that 14.2% of the Lebanese pediatrics population had iron insufficiency with females having greater incidence than boys [8]. Moreover, a cross sectional study that was done on Lebanese women who visited governmental healthcare facilities showed that the percentages of women suffering from anemia and iron deficiency are respectively about 16% and 27% of the study population (totally 7.7% had iron deficiency anemia) [9]. A new updated study showed that approximately 60% of the Lebanese Women have dietary iron intake deficiency, with low-income women being the most impacted [10].
Vascular endothelial growth factor (VEGF, also referred to as VEGFA) is an essential regulator of vascular biology [11]. Specifically, it stimulates angiogenesis in a wide range of processes (both normal and pathological) [11]. In addition to the well-established role in angiogenesis, levels of circulating VEGF were found elevated in severely anemic patients [12], pointing out that anemia might affect the progression of angiogenesis in malignant and benign diseases via the alteration of VEGF levels [12, 13].
The heritability of its circulating levels is high and estimated to be between 60% and 80% [14]. In a genome-wide association study (GWAS), Debette et al. [15] identified four single nucleotide polymorphisms (SNPs); rs6921438 and rs4416670 in LOC100132354-C6orf223, rs6993770 in ZFPM2, and rs10738760 in VLDLR-KCNV2 that explained up to 50% of the heritability of VEGFA circulating levels. Specifically, two SNPs explained a significant proportion of the heritability of circulating VEGF levels: rs6921438 and rs10738760 (41.2% and 5.0% respectively) [15]. A more recent GWAS study conducted on a total of 16,112 samples of European individuals identified six additional genetic variants at the novel (MEF2C, JMJD1C, ZFPM1, and ZADH2) and known loci (LOC100132354, C6orf223, ZFPM2, and KCNV2) [16]. VEGF SNPs; rs6921438 was associated with decreased HDL-C and increased LDL-C levels in supposedly healthy European individuals [17], rs6993770, and rs10738760 were shown to have positive relationships with metabolic syndrome and hypercholesterolemia in two Middle Eastern populations [18, 19]. Therefore, this study investigated the association of those ten SNPs and BMI with serum iron levels in a general Lebanese population (LGP) composed of 460 individuals with no chronic disease.
Socio-demographic were assessed using a questionnaire. Normal weight was defined
as body mass index (BMI)
All analyses were performed using SPSS statistical software version 24.0 (SPSS, Inc.; Chicago, IL, USA). Normality was tested using Kolmogorov-Smirnov test. Kruskal Wallis test was used to study if there is a significant difference in the mean of the serum iron levels between BMI categories (Normal, Overweight, and Obese). Then a post hoc analysis was performed using Wilcoxon rank-sum test to confirm where the differences occurred between which groups. A chi-square test was performed to test the Hardy–Weinberg equilibrium and to evaluate whether a significant difference was present between the categorical variables. All genetic analyses were performed using an additive model.
We used the minor allele as the reference allele in all our analysis. Linear
regression models adjusted for age, gender, and BMI were used to assess the
effect of each SNP on serum iron levels. Only the significant SNPs were shown.
The significance level was set at p
A multivariate logistic regression model was used to study the association
between the SNPs and serum iron status used while correcting for age, gender, and
BMI. Only the significant SNPs were shown. The significance level was set at
p
All the participants’ characteristics were presented in Tables 1,2,
respectively. About 50% of our participants are of normal BMI, approximately
25% are overweight, and about 20% are obese. All studied SNPs agreed with the
Hardy-Weinberg equilibrium. The levels of serum iron according to BMI categories
are shown in Fig. 1. There was a statistically significant difference in the mean
of the serum iron levels between BMI categories as determined by Kruskal Wallis
test (p = 0.009, Fig. 1). A post hoc analysis using Wilcoxon rank-sum
test revealed that the serum iron level was statistically significantly higher in
the normal group (86.15
Levels of serum iron according to BMI categories. ** significant difference between Normal and Obese groups (p = 0.003).
Lebanese general population (N = 460) | ||
Mean |
SD | |
Age (years) | 40.6 | 14.16 |
Gender (female %) | 63.5 | |
Body mass index (kg/m |
25.71 | 4.98 |
Normal weight ( |
253 (55.0%) | |
Overweight (25–29.9) | 114 (24.8%) | |
Obesity ( |
93 (20.2%) | |
Smoking (%) | 26.5 | |
Alcohol consumption (%) | 35.2 | |
Marriage (%) | 69.8 | |
Serum iron level (µg/dL) | 82.3 | 35.75 |
Low serum levels | 110 (23.9%) | |
Normal serum levels | 350 (76.1%) | |
MAF of VEGF SNPs | |
rs10738760A |
0.46 |
rs6993770A |
0.34 |
rs6921438G |
0.34 |
rs4416670C |
0.5 |
rs2639990A |
0.11 |
rs114694170T |
0.02 |
rs4782371T |
0.44 |
rs10761741G |
0.41 |
rs7043199T |
0.21 |
rs34528081T/- | 0.38 |
MAF, minor allele frequency; SNPs, single nucleotide polymorphisms. |
The association of the 10 VEGF-related SNPs and BMI with serum iron levels
revealed three significant variations that are shown in Table 3. The multivariate
linear regression analysis reveals that rs10738760 and BMI are both associated
significantly with decreased serum iron level (p = 0.002 and p
Serum iron level (µg/dL) | ||||
B | SE | p | ||
Age | 0.60 | 0.12 | 0.24 | |
Gender | –21.17 | 3.54 | –0.29 | |
BMI | –1.87 | 0.34 | –0.26 | |
rs10738760 | –6.91 | 2.26 | –0.14 | 0.002 |
rs2639990 | –8.23 | 3.70 | –0.10 | 0.027 |
rs6921438 | –3.97 | 2.32 | –0.08 | 0.088 |
rs10738760 × BMI* | –0.32 | 0.08 | –0.19 | |
rs2639990 × BMI* | –0.47 | 0.13 | –0.16 | 0.001 |
rs6921438 × BMI* | –0.27 | 0.08 | –0.15 | 0.001 |
*BMI interaction with genotypes was studied in a separate model adjusted for age
and gender. B: Unstandardized coefficients. SE, Standard Error. |
On the other hand, the interactions between rs10738760, rs2639990 and rs6921438
with BMI decreased significantly the iron levels (p
Obese | Non-Obese | |||||||
B | SE | p | B | SE | p | |||
Age | 0.48 | 0.18 | 0.19 | 0.008 | 0.57 | 0.13 | 0.22 | |
Gender | –42.33 | 4.43 | –0.68 | –12.07 | 4.12 | –0.15 | 0.004 | |
rs10738760 | –6.99 | 3.07 | –0.16 | 0.025 | –5.41 | 2.61 | –0.11 | 0.039 |
rs2639990 | –9.53 | 7.01 | –0.09 | 0.178 | –6.54 | 4.16 | –0.08 | 0.117 |
rs6921438 | –5.53 | 3.20 | –0.12 | 0.087 | –1.68 | 2.71 | –0.03 | 0.536 |
B: Unstandardized coefficients. |
Additionally, multiple logistic regression analyses of risk factors with obesity
were applied, as shown in Table 5. The obtained results showed that VEGF-related
SNP rs10738760 was significantly associated with decreased serum iron level
(p = 0.003). Besides, obese status was also associated significantly
with decreased serum iron levels (p
Serum iron status | |||
OR (95% C.I.) | p | ||
Age | 1 | ||
0.55 (0.33–0.92) | 0.021 | ||
Gender | Male | 1 | |
Female | 0.83 (0.49–1.40) | 0.493 | |
BMI | 1 | ||
25–29.9 | 0.49 (0.27–0.88) | 0.017 | |
0.30 (0.16–0.57) | |||
rs10738760 | AA | 1 | |
GA | 0.94 (0.52–1.69) | 0.824 | |
GG | 0.36 (0.19–0.71) | 0.003 | |
OR, Odds Ratio; C.I., Confidence Interval. Normal serum levels were considered as the reference group. |
All results indicate that the VEGF-related SNP rs10738760 is associated with circulating iron levels, and this association depends on BMI status. The mean serum iron level decreases with increased BMI. Both rs10738760 and BMI are associated with lowered serum iron levels. Together, rs10738760 and BMI are found to interact to decrease iron levels. Besides, the impact of rs10738760 is more notable in obese individuals than non-obese ones.
Different studies have reported the negative impact of obesity on iron levels across all ages [21]. According to the Third National Health and Nutrition Examination Survey (NHANES III), the risk of suffering from iron deficiency is two times higher in obese youngsters than others with average weight, and the same results have been obtained in adults [22]. The mechanism that explains the linkage between obesity status and iron levels remains unclear [22]. However, findings suggest that low iron-diet consumption, diminished intestinal absorption of iron, and increased iron demand due to the larger blood volume may be the underlying contributors to iron deficiency in obese people [21, 22]. Another hypothesis is chronic inflammation [21, 22]. Obesity is linked to persistent chronic inflammation in response to high adiposity that has also been linked with low serum iron levels [21]. Yanoff et al. [23] has reported the existence of elevated levels of C-reactive protein (CRP) in obese populations. Additionally, Zimmermann et al. [24] have revealed that the increased adiposity is linked with decreased iron absorption. Chronic inflammation is associated with the secretion of pro-inflammatory cytokines like interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) that may trigger liver and adipose tissue to release hepcidin which is likely to decrease iron absorption [22]. Hence, iron sequestration by the inflammatory mediated pathway may be one of the potential origins of the low iron level in obese subjects [21]. Hence, serum iron concentration decreases as BMI increases [25].
VEGF is involved in the pathogenesis of obesity [26]. Being an endocrine organ, the fat tissue releases significant amounts of VEGF, inducing angiogenesis [26, 27]. Plasma VEGF was detected in significantly higher amounts in obese people than normal weight and lean subjects [26]. Miyazawa-Hoshimoto et al. [28] have reported that individuals with high BMI and visceral fat aggregation tend to have higher serum VEGF. It was suggested that the elevated level of serum VEGF coupled with increased adiposity might affect the vascular endothelial function via triggering the endothelial cells to migrate and proliferate, increasing the permeability of blood vessels, and controlling thrombogenicity [28].
Furthermore, the transcription factor hypoxia-inducible factor-1
On the other hand, a large body of work has shown that VEGF formation can be
driven by iron deficiency [30]. Interestingly, it was found that mice fed with
diets lacking iron exhibited elevated levels of HIF-1
Supporting this study, females are found to be at an elevated risk of developing iron deficiency anemia due to menstrual iron losses [32]. Besides, pregnant and lactating women are considered to be at higher risk of encountering iron deficiency [32]. Moreover, iron deficiency anemia is common in the elderly population [33]. This may be due to poor dietary intake, diminished efficiency of iron absorption, bacterial infections, gastrointestinal bleeding, some medications, or chronic complications [33].
This is the first study that reveals the association of VEGF-related polymorphisms with serum iron status and the potential dependence of this relation on BMI to the best of our knowledge. This study demonstrates three limitations; (1) female subjects were more abundant than males with a ratio of 2:1, demanding adjustment for gender to eliminate any confounding effect, (2) the absence of replication in larger populations, (3) several factors that may affect both iron status and BMI, like socioeconomic factors and physical activity were missing. (4) The lack of VEGF levels measurement in the plasma. (5) Despite our report showing that VEGF-related SNP rs1073760 is associated with circulating iron levels and depends on BMI, we cannot exclude that this association might result from the link between rs1073760 and BMI and not from direct association. This is because previous studies have reported that SNP rs1073760 were shown to have positive relationship with metabolic syndrome [18, 19] and serum iron concentration decrease as BMI increases [25].
In conclusion, the intergenic VEGF-related SNP rs10738760 is associated with circulating iron levels, and this association depends on BMI. These findings need to be validated in larger populations and settings. Further investigations are needed to elucidate the molecular mechanism of VEGF polymorphism and BMI interactions in decreasing serum iron levels. Understanding this relationship may allow the development of dietary or pharmacologic therapies that could reduce the risk of developing an iron deficiency in obese individuals.
PC, AS and SES conceived and designed the experiments; MI and PC performed the experiments; AS analyzed the data; SVS and SES contributed reagents and materials, PC, AS and MI wrote the first draft, SES revised the manuscript.
All the recruitment and genetic procedures were done following the latest version of the Declaration of Helsinki for Ethical Principles for Medical Research Involving Human Subjects. The Institutional Review Board of the Beirut Arab University approved the study (2019-H-0091-HS-R-0360). Every participant gave informed consent before participation.
We thank the participants and their families for making part of this study.
This research received no external funding.
The authors declare no conflict of interest.