ORIGINAL RESEARCH article

Front. Nutr., 30 May 2025

Sec. Clinical Nutrition

Volume 12 - 2025 | https://doi.org/10.3389/fnut.2025.1594489

This article is part of the Research TopicNutritional Impacts on Human Tumor Development and Immune SystemView all 5 articles

L-type association between magnesium intake and human papillomavirus infection in US adult women: based on NHANES 2003–2016 data

  • 1Department of Clinical Medicine, The Second Clinical College of Guangzhou Medical University, Guangzhou, China
  • 2Department of Gynecology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China

Background: In the post-vaccine era, adjusting living habits and diet structure has become a new way to prevent Human papillomavirus(HPV). Although dietary factors have received much attention, the association of dietary magnesium with HPV infection remains understudied.

Method: Using NHANES cross-sectional data from 2003 to 2016, this study analyzed the relationship between magnesium intake and HPV infection in 7,246 women aged 18–59 years. Weighted logistic regression and subgroup analysis assessed independent links, while curve fitting and threshold analysis defined dose response and saturation.

Result: A significant negative correlation was observed between magnesium intake and the risk of HPV infection. After comprehensive adjustment for potential confounding factors, individuals in the highest quartile of magnesium intake exhibited a statistically significant 29.7% reduction in the risk of HPV infection for each additional unit, compared to those in the lowest quartile (CI:0.554–0.894, p = 0.005). Besides, using smooth curve fitting and threshold analysis, we found an L-shaped dose response between magnesium intake and HPV risk. Below 401 mg/day of magnesium, increased intake is inversely correlated with HPV infection risk. Above this threshold, further increases plateaued in risk reduction.

Conclusion: Moderate magnesium intake has a protective effect against HPV infection. Rationally increasing magnesium intake through dietary channels is expected to serve as an effective preventive measure against HPV infection.

1 Background

Human papillomavirus (HPV) is a highly prevalent sexually transmitted infection characterized by a high infection rate, with studies estimating that nearly 90% of women will contract HPV at least once in their lifetime (1). Currently, approximately 200 distinct HPV types have been recognized, among which 12 have been classified as high-risk by the International Agency for Research on Cancer (IARC), namely HPV16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, and 59 (2). Notably, HPV16 and 18 are significantly associated with a large majority of HPV-related cancer cases (3, 4). Despite the marked decrease in HPV infections and cervical cancer occurrences following the introduction of universal vaccination, the burden of HPV-related diseases remains considerable in developing countries due to limited vaccine accessibility and insufficient vaccination rates (5, 6). Therefore, investigating the potential role of individual lifestyle behaviors and dietary compositions in developing preventive strategies may offer promising new avenues for reducing HPV infection rates.

Magnesium is a pivotal mineral integral to preserving the physiological functions and metabolic equilibrium of human cells. It plays a significant role in various biological processes, such as ion homeostasis, intracellular and extracellular signaling mechanisms (7), the biosynthetic processes of proteins and nucleic acids (8, 9), enzymatic reactions (10), and energy metabolism (11, 12). Dietary magnesium primarily originates from green leafy vegetables, whole grains, nuts, and fish, with an intestinal absorption rate typically ranging from 30 to 50%. The majority of magnesium in the human body is stored in bones (more than 50% of the total), followed by muscles, soft tissues, and organs (about 34 to 39%), while the extracellular fluid contains only 1 to 2% of magnesium (13). Therefore, once the balance of magnesium is disrupted, it will affect the normal biological function and then trigger a series of pathological conditions, which will have adverse effects on the health of the individual.

The HPV virus has a double-stranded DNA structure and replicates itself by forming nuclear plasmids with multiple copies. In this replication cycle, initiation binding protein E2 and DNA replication helicase E1 play a crucial role and are indispensable key protein factors (14). Hence, the life cycle of HPV is closely regulated by the E2 protein. Furthermore, the E2 protein holds a significant position in transcriptional modulation, influencing the expression pattern and spatial organization of the oncogenic genes E6 and E7, and thereby ensuring the stability and persistence of the viral genome (1517). Studies led by Hannah Lewis and her team have shown that magnesium ions elevate the binding efficiency of the E2 protein and facilitate its transitions among various binding conformations. This effect may stem from magnesium ions modifying the structure and charge arrangement of the E2 protein or DNA, thus promoting the binding interaction (18, 19).

However, current research on the relationship between magnesium intake and HPV infection is still insufficient. Therefore, we used the data resources of the National Health and Nutrition Examination Survey (NHANES) to examine the potential correlation between magnesium intake levels and the presence or absence of HPV infection, in order to provide strong scientific support and practical guidance strategies for the prevention of HPV infection through dietary modification.

2 Methods

2.1 The data source and the study population

We executed a cross-sectional study using a sample of seven consecutive data cycles collected by the National Health and Nutrition Examination Survey (NHANES) from 2003 to 2016, including a total of 71,058 participants. And after weighted analysis, it represents a population of 52,022,419. NHANES is a pivotal cross-sectional study conducted by the National Center for Health Statistics (NCHS), an arm of the U.S. Centers for Disease Control and Prevention (CDC). The process of analyzing data in this study was carried out strictly in line with the guidelines and regulatory requirements provided by NHANES. Based on the exhaustive search and strict screening criteria of the NHANES database, 71,058 women aged 18 to 59 from 2003 to 2016 were selected as the base group for this study. In a careful screening process, we excluded 58,664 participants with a lack of HPV infection status information, 1834 with missing or abnormal magnesium intake data (> 1,500 mg), and 3,317 with incomplete data on other key covariates, and finally identified 7,246 eligible participants for inclusion in this study. The sequence of steps in the screening process is clearly shown in Figure 1.

Figure 1
www.frontiersin.org

Figure 1. Diagram of NHANES sample selection, 2003–2016.

2.2 Variables

The core exposure variables of this study were magnesium intake and human papillomavirus (HPV) infection status. The NHANES program assessed food intake through data collection on two different dates: the first face-to-face meal recall interview at a transportable medical examination center (MEC), and the second phone interview three to 10 days after the first interview. In view of the large number of information omissions in the next day’s interviews, we adopted the magnesium intake data from the food intake on the first day of the data analysis and made a scientific estimate of dietary magnesium nutrition according to the Nutritional and Food Database for Diet Studies (FNDDS) published by the United States Department of Agriculture (USDA). In addition, it is crucial to note that the dietary magnesium intake data collected in this study were limited to magnesium directly derived from food and did not take into account magnesium in dietary supplements. For rigorous statistical analysis, we divided the quartile distribution of magnesium intake into the following four statistical intervals: the first quartile interval (Q1), which ranges from 0 mg/day to 173 mg/day; The second quartile range (Q2), ranging from 174 mg/day to 244 mg/day; The third quartile range (Q3), covering 245 mg/day to 332 mg/day; The fourth quartile range (Q4) extends from 333 mg/day to 1,500 mg/day. In the NHANES database, methods for diagnosing human papillomavirus (HPV) infection include collecting cell samples from a participant’s vagina, testing and analyzing DNA extracted from vaginal swabs deploying the Roche prototype linear blotting assay alongside the Roche Linear Array (LA) for genotyping HPV. If the test result is “positive,” the participant is confirmed to be HPV infected; If the result is “negative,” the participant judged to be non-HPV infected. This process ensures accurate and reliable diagnostics. Previous studies have validated the reliability of the self-reported HPV infection diagnosis in the questionnaire (20, 21).

2.3 Other covariates

Building on knowledge from previous research and clinical practice (22, 23), we factored in numerous covariates that could potentially mediate the association between magnesium intake and HPV infection. Continuity covariates include age, poverty income ratio (PIR), dietary intake of vitamins K, A, and C, and folic acid and beta-carotene intake. The categorical variables included racial/ethnic background, level of education, marital status, smoking history (i.e., cumulative smoking of 100 or more cigarettes in a lifetime), and drinking behavior (i.e., cumulative drinking of 12 or more drinks in a year). Specific information on all of these covariates is available via the authoritative NHANES online platform. Measurements of different variables detailed process in NHANES database’s official website1 are described.

2.4 Analytical statistics

We conducted a descriptive statistical analysis, presenting continuous variables as mean ± standard error (SE) and categorical variables as frequency (percentage), with mean, median, and standard error (SE) calculated for all variables. Differences between HPV-infected and non-infected groups were assessed using ANOVA for continuous variables and Chi-square tests for categorical frequencies. To address the complex sampling design of NHANES, weighted univariate analyses incorporating the first-day dietary recall sampling weights (WTDRD1/7) were implemented to minimize sampling bias and enhance national representativeness. Multivariate logistic regression models were constructed to examine magnesium intake’s association with HPV status (categorized dichotomously), with three progressively adjusted models: Model 1 (unadjusted), Model 2 (adjusted for age, race, and education), and Model 3 (fully adjusted for all covariates). Subgroup analyses using fully adjusted models and threshold effect evaluations via Smooth Curve Fitting were performed to identify population-specific associations and inflection points, quantified through adjusted odds ratios (ORs) with 95% confidence intervals (CIs). Sensitivity analyses addressed dietary variability by averaging magnesium intake from two 24-h recalls. To control the risk of Type I errors caused by multiple comparisons, this study adopted a stratified Bonferroni-corrected strategy. For the interaction tests between subgroups (a total of 9 subgroup variables), the post-correction significance threshold α’ = 0.05/9 ≈ 0.00556 was set, with statistical significance defined only when p < 0.00556. Within subgroups, the threshold was dynamically adjusted based on the number of strata, α” = 0.05/k (where k is the number of strata within a subgroup; for example, if age is divided into 4 strata, α = 0.05/4 = 0.0125). Although Bonferroni-correcting may increase the risk of Type II errors, we prioritize strict control over false-positive results. All analyses utilized R 4.4.3 and EmpowerStats, with effects rounded to three decimal places to mitigate rounding bias, maintaining a significance threshold of p < 0.05 for clinically meaningful outcomes.

3 Results

3.1 Basic demographics

Our study included 7,246 individuals aged 18–59, with 3,228 (44.55%) diagnosed with HPV. Table 1 summarizes the baseline demographics of these participants, stratified by their HPV infection status. In particular, the mean age of HPV-positive women (38.32 years) compared to HPV-negative women (39.76 years) demonstrated a highly statistically significant difference (p < 0.001). At the same time, HPV-infected and non-HPV-infected groups showed statistically significant differences (p < 0.05) in several aspects, including household income, race, marital status, education level, and vitamin A, vitamin C, vitamin K, and beta-carotene intake, smoking habits, and alcohol habits. Specifically, lower household income, lower education levels, lower intakes of vitamins A, C, K, and beta-carotene, and non-Hispanic black women who are divorced, with histories of smoking and alcohol use, all were correlated with an elevated risk for HPV infection. The mean intake of magnesium in HPV-infected persons (253.82 mg, standard deviation 4.36) was significantly lower than that in non-infected persons (278.06 mg, standard deviation 3.61), and the difference was statistically noteworthy, with a p-value < 0.05. Besides, when the participants were categorized into various groups according to the quartile of dietary magnesium intake, the differences in magnesium intake among the groups remained statistically significant (p < 0.05).

Table 1
www.frontiersin.org

Table 1. Weighted baseline demographics of the study population.

3.2 Correlation between magnesium intake and risk of HPV infection

To rigorously evaluate the potential association between magnesium consumption and HPV infection, we carefully designed three analysis models and integrated the key analysis results in Table 2. The statistical analysis demonstrated a significant negative correlation between magnesium intake and the risk of HPV infection. In detail, the unadjusted model revealed an odds ratio (OR) of 0.999 with a 95% confidence interval (CI) ranging from 0.998 to 0.999 (p < 0.0001). Similarly, the partially adjusted model(adjusted age, race, and education level) showed an OR of 0.999 (95% CI: 0.999–1.000, p = 0.018). The fully adjusted model also indicated an OR of 0.999 (95% CI: 0.999–1.000, p = 0.052), consistently suggesting an inverse relationship between magnesium consumption and HPV infection risk. When magnesium intake was categorized into quartiles, transforming it from a continuous to a categorical variable, the analysis results showed that in all three models, the HPV infection rate of individuals in the third (Q3) and fourth (Q4) quartile array showed a statistically significant decrease compared with the first quartile array (Q1) (p < 0.05). After comprehensively accounting for and adjusting for all potential confounding factors in Model 3, we discovered a notable decrease of 29.7% in the likelihood of HPV infection as magnesium intake transitioned from the lowest quartile to the highest quartile. The size of this effect was expressed as an OR of 0.703, with 95% CI ranging from 0.554 to 0.894, and the statistical significance level of this result was p = 0.005. In addition, the trend relationship between magnesium intake and the risk of HPV infection was highly statistically significant in all of the models constructed. Specifically, both Model 1 and Model 2 yielded trend test p-values of less than 0.001, which strongly indicates a very significant dose–response relationship between the two. Similarly, in model 3, the p-value of the trend test reaches 0.001, which also fully verifies the statistical significance of the trend. In addition, we employed smooth curve fitting methodologies to delve deeper into the potential relationship between magnesium intake and HPV risk. In doing so, we carefully adjusted for A range of covariates that included an individual’s age, family economic status, ethnic affiliation, marital status, education level, smoking habits, alcohol habits, and intake of vitamins A, C, K, folate, and beta-carotene, among other nutrients. The study results illustrate an L-shaped pattern of links between increased magnesium intake and decreased risk of HPV infection, as demonstrated in Figure 2. Through a detailed threshold effect analysis (the results are listed in Table 3), we observed a saturation effect at a magnesium intake of 401 units. Specifically, when magnesium intake was below 401 units, an increment of one unit in magnesium intake was linked to a 0.2% decrement in the risk of HPV infection. This effect was represented by an OR of 0.998, with a 95% CI precisely defined between 0.998 and 0.999, and the relationship observed was notably significant, yielding a p-value below 0.001. However, further increases in magnesium intake beyond this inflection point limit show not show a statistically significant link with the risk of HPV infection. Specifically, the effect size of magnesium intake and HPV risk at this stage was quantified by an OR of 1.001, with a 95% CI of 1.000 to 1.002, and a p-value of 0.155 for statistical tests, indicating that the association did not achieve statistical significance.

Table 2
www.frontiersin.org

Table 2. Correlation between Magnesium intake and the risk of HPV infection.

Figure 2
www.frontiersin.org

Figure 2. Correlation between Magnesium intake and the risk of HPV infection. The red solid line depicts the fitted smooth curve relating the variables, and the blue dashed line denotes the 95% confidence interval for this fit. Adjusted for age, race, poverty-to-income ratio, education level, marital status, Smoking status, drinking status, Intake of vitamins A, C, K, folic acid, and β -carotene.

Table 3
www.frontiersin.org

Table 3. Analysis of the threshold effect between magnesium intake and the risk of HPV infection.

3.3 Subgroup analysis

To further elucidate the connection between magnesium intake and HPV infection, we performed a thorough subgroup analysis (see Table 4 for the results). These subgroup analyses were classified and stratified by age, education level, marital status, vitamin A, vitamin K, vitamin C, beta-carotene intake, smoking history, and alcohol consumption to conduct a comprehensive analysis of the possible connection between magnesium intake and HPV risk among diverse subgroups of people. The study data revealed a notable interaction between vitamin A intake and magnesium intake in relation to the risk of HPV infection (p interaction = 0.033). Specifically, for each additional unit of vitamin A intake in the range of 243 to 453 μg/day, the risk of HPV infection was reduced by 0.2% (OR = 0.998, 95% CI: 0.997 to 0.999, p = 0.001). Evaluation of the interaction effects in all other subgroups showed that the association between magnesium intake and HPV infection risk was not statistically significant in all subgroups examined (all p interaction values >0.05), suggesting that differences between subgroups did not significantly affect this negative association. We used Bonferroni to correct for subgroups (Supplementary Table S2). After correction, there was no significant interaction test in the subgroups, indicating that the protective effect of magnesium was consistent in all subgroups. But in the subgroup with vitamin A intake of 243–453 μg/d (corrected p = 0.004 < 0.0125), dietary magnesium was still negatively correlated with HPV infection risk, and remained robust after Bonferroni correction.

Table 4
www.frontiersin.org

Table 4. Weighted subgroup and interactive analyses of the correlation between magnesium intake and HPV infection.

3.4 Sensitivity analysis

Consistent with the results of the single-day dietary evaluation, the sensitivity analysis was used to confirm that the average dietary magnesium intake over 2 days and the results of HPV infection remained robust. It was consistently observed in both the unadjusted and adjusted models. For Model 3, the adjusted OR, 95%CI, and p value for the highest quartile (Q4) were 0.703 (0.554–0.894), 0.005 in the main analysis vs.0.751(0.592–0.953), 0.023 in the sensitivity analysis. Full results are provided in Supplementary Table S1. Overall, the sensitivity analysis confirmed the stability and reliability of the results obtained through the single-day dietary review logistic regression analysis.

4 Discussion

This study marks the inaugural systematic investigation into the potential link between dietary magnesium intake and the risk of human papillomavirus (HPV) infection. By independently employing multivariate logistic regression analysis, we have conducted a thorough assessment of the specific impact of magnesium intake on the risk of HPV infection. The findings revealed a notable inverse relationship between magnesium intake and the HPV infection risk, and this association remained consistent even after accounting for various other factors.

Despite the scarcity of studies exploring the connection between magnesium intake and HPV infection, existing evidence has consistently highlighted a notable relationship between serum magnesium concentrations and disorders of the female reproductive system, particularly pelvic inflammatory disease (PID). The research suggests that increasing magnesium intake through dietary means may have a favorable effect on decreasing the likelihood of PID by modulating immune responses and mitigating oxidative stress indicators, including malondialdehyde (MDA) levels (24). A crucial role has been identified for magnesium deficiency in elevating the risks associated with various pregnancy complications, including gestational diabetes, preeclampsia, preterm birth, and low birth weight in newborns (2527). Additionally, a study of 2,304 Chinese women found a link between higher magnesium intake from diet and lower cervical cancer risk. Increasing magnesium consumption may help reduce cervical cancer prevalence and potentially slow its progression (28). Meanwhile, emerging evidence highlights a link between magnesium (Mg2+) and viral infections. For instance, XMEN disease, a rare X-linked immunodeficiency, is characterized by intracellular Mg2+ deficiency, resulting in impaired control of Epstein–Barr virus (EBV) and an increased risk of EBV-driven malignancies (29). Additionally, epidemiological data suggest that regions with lower magnesium levels exhibit a higher cumulative incidence of COVID-19, potentially due to Mg2+'s immunomodulatory effects and its synergistic interaction with vitamin D3 (30). The previous research results provide important theoretical support and background information for our current research. On the basis of this evidence, we not only conclusively established the close relationship between the consumption of magnesium in the diet and the occurrence of HPV infection but also innovatively depicted the L-shaped relationship between the two and accurately identified the inflection point of the curve. This breakthrough discovery opens up a new research direction for the application of dietary magnesium in the field of HPV infection prevention.

While the precise mechanisms underlying the inverse relationship between magnesium intake and HPV infection remain incompletely elucidated, this study proposes that adequate magnesium consumption may potentially inhibit HPV invasion and subsequent viral replication through two primary pathways: enhancement of immune defense mechanisms and improvement of antioxidant capacity. Firstly, magnesium is essential to ensure the integrity of epithelial barrier function. Mg2 + and Ca2 + play a key role in stabilizing biofilms by neutralizing and cross-linking the charge of lipid carboxylation and phosphorylation of head groups, thus effectively defending against the adsorption of viruses (such as HPV). Inadequate magnesium intake may weaken the stability of cell membranes and increase the risk of HPV infection (31). Furthermore, magnesium may influence viral replication by regulating the DNA-binding ability of the HPV E2 protein. Studies indicate that E2 requires Mg2+ for stable binding to the viral origin of replication (ori). In magnesium-deficient conditions, E2’s DNA-binding affinity decreases, potentially disrupting viral replication control (32, 33). An alternative mechanism may involve magnesium’s role in suppressing HPV replication through upregulation of interferon-γ (IFN-γ) production. This enhanced IFN-γ signaling not only potentiates the host’s innate immune response but also confers cellular resistance to intracellular viral infection (3437). Notably, IFN-γ suppresses HPV E6/E7 oncogene expression through multiple pathways. First, IFN-γ activates the JAK–STAT signaling cascade, leading to STAT protein nuclear translocation and binding to interferon-stimulated response elements (ISREs) in target gene promoters. This induces antiviral and immunoregulatory proteins, some of which interfere with the HPV transcriptional machinery, disrupting E6/E7 transcription initiation and reducing oncogene expression (3, 4). Second, IFN-γ upregulates microRNAs (miR-34a) that target the 3’UTR of E6/E7 mRNAs, promoting their degradation or translational inhibition, further downregulating oncoprotein levels (38).

Furthermore, magnesium ions (Mg2+) serve as essential cofactors in multiple fundamental DNA repair pathways, including three major mechanisms: nucleotide excision repair (NER), base excision repair (BER), and mismatch repair (MMR) (10). Inadequate Mg2 + intake may impair the ability of host cells to carry out these DNA repairs, which in turn may contribute to the worsening process of HPV infection. Moreover, in biological metabolic processes, magnesium ions (Mg2+) function as crucial cofactors for adenine nucleotides, exerting central regulatory control over multiple rate-limiting enzymes in the glycolytic pathway, including hexokinase and phosphofructokinase. This essential role establishes Mg2 + as an indispensable component in cellular glucose metabolism (39). Mg2 + plays a central role in ensuring adequate energy for cell activity. A lack of magnesium ions will disrupt the normal process of cell metabolism and may prevent normal cells from obtaining energy and the necessary material basis, thereby affecting the body’s immune function, so that the risk of HPV infection increases. During antigen-specific immune responses, reduced extracellular magnesium concentration triggers a cascade of cellular events, including the activation of voltage-gated L-type calcium channels and N-methyl-D-aspartate (NMDA) receptors. This receptor-mediated signaling pathway ultimately results in elevated intracellular calcium ion concentrations. This molecular cascade subsequently triggers the biosynthesis and release of substance P, a neuropeptide that activates the nuclear factor-kappa B (NF-κB) signaling pathway. The activated NF-κB pathway then upregulates the transcription and secretion of pro-inflammatory cytokines, particularly tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6) (40). IL-6 enables HPV-infected cells to evade T cell-mediated immune responses, and at high concentrations, it may play a significant role in the persistence of HR-HPV infection and disease progression (41). Additionally, Mg2 + enhances immune synapse formation by facilitating the transition of the co-stimulatory molecule LFA-1 on CD8 + T cells into its active conformation, thereby augmenting antigen-specific cytotoxicity (42, 43). In addition, magnesium can further strengthen the antiviral immune response by modulating T-cell receptor (TCR) signaling, which in turn enhances the ability of CD8+ T cells to recognize HPV E2/E6/E7 antigens (44, 45). The impact of magnesium on HPV oncoproteins E6/E7 is primarily mediated through indirect pathways. A low-magnesium environment may activate the DNA damage response by exacerbating HPV-induced oxidative stress, thereby enhancing E2 gene activity to indirectly suppress E6/E7 expression, thus preventing replicative immortality (46, 47). Consequently, adequate magnesium ion (Mg2+) levels are crucial for optimizing T cell-mediated immune responses against HPV and other viral infections. Conversely, magnesium deficiency impairs T-cell functionality, compromising their capacity to eliminate HPV-infected cells.

Besides, accumulating evidence suggests that magnesium deficiency may not only initiate a self-perpetuating cycle of chronic low-grade inflammation but also potentiate HPV-induced inflammatory stress responses (40). Inflammatory cascades trigger the secretion of multiple pro-inflammatory mediators, including interleukin-1 (IL-1), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α). These pro-inflammatory cytokines initiate protein kinase-dependent signaling cascades that subsequently induce reactive oxygen species (ROS) generation (48). This oxidative stress-mediated mechanism can cause genomic instability through DNA damage, representing a critical molecular pathway in HPV-associated malignant transformation (49). Oxidative stress (OS) causes host cell DNA and protein damage while also activating the DNA damage response pathway, particularly during HPV infection (50). During double-strand break events, TOPBP1 is recruited to damage sites where it coordinates with other repair proteins to form a response complex. Notably, TOPBP1 potentiates HPV E2 protein activity, enhancing both viral transcription and genome replication (51). Oxidative stress (OS) not only induces DNA and protein damage in host cells but also, particularly during HPV expression, enhances the activity of viral components E1 and E2 in the DNA replication complex through activation of the DNA damage response pathway. This mechanism enables viral replication to persist despite DNA damage, ultimately leading to increased viral amplification and genomic rearrangement (50). In the context of primary HPV infection or high infection rates, magnesium enhances immunologic synapse efficacy by activating the LFA-1 protein on T cells and modulates inflammatory factors (IL-6), indirectly supporting antiviral immunity. However, direct evidence of magnesium inhibiting viral replication remains lacking, with its primary value lying in maintaining immune homeostasis to reduce infection risk. All these indicate that maintaining appropriate magnesium intake and magnesium balance in the body is extremely important for the body to effectively resist HPV infection.

Notably, for immunocompromised patients, appropriate magnesium supplementation may indirectly improve immune function by enhancing T cell activity (LFA-1-mediated immunologic synapse formation) and supporting energy metabolism (ATP production, protein synthesis). However, magnesium over-supplementation should be avoided in individuals with normal renal function. In dialysis patients, magnesium metabolism disorders (hyper−/hypomagnesemia) due to impaired renal excretion necessitate regular serum magnesium monitoring, with magnesium homeostasis maintained via dialysis fluid adjustment and personalized dietary management (52). For cervical cancer patients, degradation products of magnesium alloy biomaterials (Mg2+, OH, H2) inhibit SiHa cell proliferation and induce apoptosis by accumulating free radicals in the tumor microenvironment and triggering G0/G1 cell cycle arrest. However, these antitumor effects do not directly target HPV itself. At the carcinogenic stage, viral DNA has already integrated into the host genome, rendering viral clearance insufficient to reverse cancer progression (53, 54).

Simultaneously, by examining the L-shaped curve and threshold effect, we determined the threshold for magnesium intake to be 401 mg, marking a pivotal turning point. In other words, once magnesium intake exceeds a certain threshold, continuing to increase magnesium intake will not further reduce HPV infection rates. The plausible physiological mechanism for this observation may be attributed to an inverse association between magnesium ingestion and estrogen levels. Existing studies have indicated a distinct link between decreased estrogen concentrations and higher magnesium levels in women (5557). Estrogen is essential for the regulation of immune response, and it affects many aspects of cytokine production, cellular chemotactic behavior, and phagocytosis (5860). Therefore, the decrease in estrogen levels in a high-magnesium environment may weaken the body’s immune response and reduce its defense against HPV. This series of physiological chain reactions eventually leads to a tipping point, when magnesium intake exceeds a certain limit, its protective effect against HPV infection will plateau and no longer increase significantly with the increase of magnesium intake. Significantly, this threshold exceeds the NIH’s recommended daily magnesium intake for women (310–320 mg/day) by 25–30%, yet remains below established safety limits (61, 62). Thus, in clinical use, a moderate increase in magnesium intake to this threshold level under physician supervision may provide additional protection.

Further, the subgroup analysis of this study revealed that when vitamin A intake was 243–453 μg/d, dietary magnesium exhibited a significantly inverse association with HPV infection risk (OR = 0.998, 95% CI: 0.997–0.999, p = 0.001), with a notable interaction initially observed (P-interaction = 0.033). After Bonferroni correction, the association remained significant within the subgroup (0.004 < 0.0125), while the interaction lost significance (0.297 < 0.00556), suggesting magnesium’s protective effect might be consistent across vitamin A intake subgroups, though cautious interpretation is warranted. Despite the interaction not surviving multiple testing correction, the core finding—magnesium’s protective effect in the 243–453 μg/d vitamin A subgroup—remained robust post-correction. Mechanistically, vitamin A may activate the retinoic acid (RA)-retinoic acid receptor α (RARα) axis to enhance interferon-γ (IFN-γ) secretion in cervical mucosal epithelial cells, thereby strengthening antiviral responses and mucosal barrier function (6365), while magnesium is shown to upregulate IFN-γ production to inhibit HPV replication (34), indicating potential synergistic immunomodulation. Additionally, vitamin A protects biomolecules from ROS-induced oxidative damage (66), and magnesium mitigates mitochondrial ROS production while enhancing antioxidant defenses (67), collectively suppressing HPV-induced DNA damage and viral integration. Notably, vitamin A within this dose range might achieve the RARα signaling activation threshold, optimizing magnesium’s immunomodulatory effects, whereas exceeding this range could introduce nutritional antagonism. Although the OR approaches 1, its high significance (p = 0.001) implies a subtle yet consistent population-level biological effect. Future studies should validate HPV infection rate dynamics and dose–response relationships in clinical cohorts.

Several significant strengths stand out in our study, the most critical of which is our pioneering use of the NHANES database to analyze the interplay between magnesium consumption and HPV infection. Each year, the NHANES database selects a meticulously curated group of around 5,000 participants from various locations throughout the United States who represent a wide range of socioeconomic status, age groups, and ethnic backgrounds, demonstrating a high degree of population diversity. By integrating and analyzing valuable data accumulated over nearly 14 years, we successfully included a large sample of 7,246 women, which significantly improved the dependability and precision of our statistical discoveries. In addition, our study also deepened the level of subgroup analysis through detailed analysis of the interplay between magnesium intake levels and the presence of HPV infection in different subgroups of people to further enhance the reliability and depth of the study conclusions.

Our investigation faced several key limitations, the first being the use of a cross-sectional study design, which hampered our ability to accurately establish the causal relationship between magnesium intake and HPV infection. At the same time, focusing only on a sample of the US population may also limit the applicability of our findings to a broader geographic and demographic context. Because this cohort exhibited significant diversity in dietary patterns, HPV infection status, and genetic background, our findings may face limitations in applicability to other demographic groups. Furthermore, although we have corrected multiple covariates such as population, diet, and lifestyle, due to the limitations of the current data, we cannot completely rule out other potential confounding factors that may have an impact on magnesium intake and HPV infection. In addition, although the data collection work of NHANES is based on standardized personal interviews and physical examination procedures, the dietary recall interview itself is associated with the danger of memory bias. Aspects like sharpness of memory, level of cognitive function, cultural background information differences, and personal eating habits may weaken the accuracy of dietary data obtained through this interview. To gain a more comprehensive insight into the causal relationship between magnesium consumption and HPV infection, future research should prioritize adopting either a longitudinal or cohort study design. These methods will allow us to obtain more detailed time series data and deeper causal analysis, thereby promoting our cognitive development in this area of science.

5 Conclusion

In short, our study found an L-type relationship between magnesium intake and the risk of HPV infection, suggesting that increasing magnesium intake before 401 mg can effectively enhance protection against HPV infection. At the same time, our study also found that when vitamin A intake is maintained ranging from 243 to 453 MCG/day, there may be a synergistic effect with magnesium intake to help reduce HPV infection, which opens up new avenues for prevention and treatment of HPV infection through dietary management.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by The Institutional Review Board (IRB) for Research Ethics at the Centers for Disease Control and Prevention (CDC). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

HC: Writing – original draft, Formal analysis, Conceptualization, Data curation, Project administration. XC: Writing – original draft, Investigation. YC: Writing – original draft, Formal analysis, Data curation, Methodology. LT: Formal analysis, Writing – original draft, Investigation, Data curation. W-JS: Validation, Writing – review & editing. Y-HO: Funding acquisition, Writing – review & editing, Supervision, Methodology.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by grants from the National Natural Science Foundation of China (82201871), Guangdong Basic and Applied Basic Research Foundation (2021A1515110330), the Science and Technology Planning Project of Guangzhou City Central Universities (2023A03J0403, 2023A03J0404). Featured Clinical Technique of Guangzhou (2023C-TS53).

Acknowledgments

We deeply appreciate the contributions of the staff at the National Health Statistics Center within the Centers for Disease Control and Prevention. Their efforts in designing, collecting, and organizing the NHANES data have been instrumental in transforming it into a publicly accessible database resource.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnut.2025.1594489/full#supplementary-material

Footnotes

References

1. Leon-Gomez, P, and Romero, VI. Human papillomavirus, vaginal microbiota and metagenomics: the interplay between development and progression of cervical Cancer. Front Microbiol. (2024) 15:1515258. doi: 10.3389/fmicb.2024.1515258

PubMed Abstract | Crossref Full Text | Google Scholar

2. Giubbi, C, Martinelli, M, Rizza, M, Di Meo, ML, Njoku, RC, Perdoni, F, et al. Molecular detection of human papillomavirus (Hpv) and other sexually transmitted pathogens in cervical and self-collected specimens. Int J Mol Sci. (2025) 26:296. doi: 10.3390/ijms26031296

PubMed Abstract | Crossref Full Text | Google Scholar

3. Beckhaus, T, Kachuri, L, Nakase, T, Schürmann, P, Eisenblätter, R, Geerts, M, et al. Genome-wide association analyses of Hpv16 and Hpv18 Seropositivity identify susceptibility loci for cervical Cancer. J Med Virol. (2025) 97:e70195. doi: 10.1002/jmv.70195

PubMed Abstract | Crossref Full Text | Google Scholar

4. Yousaf, S, Shehzadi, A, Ahmad, M, Asrar, A, Ahmed, I, Iqbal, HMN, et al. Recent advances in Hpv biotechnology: understanding host-virus interactions and Cancer progression-a review. Int J Surg. (2024) 110:8025–36. doi: 10.1097/js9.0000000000002117

PubMed Abstract | Crossref Full Text | Google Scholar

5. Zheng, Q, He, M, Mao, Z, Huang, Y, Li, X, Long, L, et al. Advancing the fight against cervical Cancer: the promise of therapeutic Hpv vaccines. Vaccines. (2025) 13:92. doi: 10.3390/vaccines13010092

PubMed Abstract | Crossref Full Text | Google Scholar

6. Zhou, L, Li, Y, Wang, H, Qin, R, Han, Z, and Li, R. Global cervical Cancer elimination: quantifying the status, Progress, and gaps. BMC Med. (2025) 23:67. doi: 10.1186/s12916-025-03897-3

PubMed Abstract | Crossref Full Text | Google Scholar

7. Daw, CC, Ramachandran, K, Enslow, BT, Maity, S, Bursic, B, Novello, MJ, et al. Lactate elicits Er-mitochondrial mg(2+) dynamics to integrate cellular metabolism. Cell. (2020) 183:474–89.e17. doi: 10.1016/j.cell.2020.08.049

PubMed Abstract | Crossref Full Text | Google Scholar

8. Cameron, IL, and Smith, NK. Cellular concentration of magnesium and other ions in relation to protein synthesis, cell proliferation and Cancer. Magnesium. (1989) 8:31–44.

PubMed Abstract | Google Scholar

9. Terasaki, M, and Rubin, H. Evidence that intracellular magnesium is present in cells at a regulatory concentration for protein synthesis. Proc Natl Acad Sci USA. (1985) 82:7324–6. doi: 10.1073/pnas.82.21.7324

PubMed Abstract | Crossref Full Text | Google Scholar

10. de Baaij, JH, Hoenderop, JG, and Bindels, RJ. Magnesium in man: implications for health and disease. Physiol Rev. (2015) 95:1–46. doi: 10.1152/physrev.00012.2014

PubMed Abstract | Crossref Full Text | Google Scholar

11. Hardy, S, Kostantin, E, Wang, SJ, Hristova, T, Galicia-Vázquez, G, Baranov, PV, et al. Magnesium-sensitive upstream Orf controls Prl phosphatase expression to mediate energy metabolism. Proc Natl Acad Sci USA. (2019) 116:2925–34. doi: 10.1073/pnas.1815361116

PubMed Abstract | Crossref Full Text | Google Scholar

12. Marr, KA, Korenchan, DE, and Jerschow, A. Influence of magnesium ion binding on the adenosine diphosphate structure and dynamics, investigated by (31)P Nmr and molecular dynamics simulations. J Phys Chem B. (2024) 128:8966–73. doi: 10.1021/acs.jpcb.4c02118

PubMed Abstract | Crossref Full Text | Google Scholar

13. Kröse, JL, and de Baaij, JHF. Magnesium Biology. Nephrol Dial Transplant. (2024) 39:1965–75. doi: 10.1093/ndt/gfae134

PubMed Abstract | Crossref Full Text | Google Scholar

14. Evande, R, Rana, A, Biswas-Fiss, EE, and Biswas, SB. Protein-DNA interactions regulate human papillomavirus DNA replication, transcription, and Oncogenesis. Int J Mol Sci. (2023) 24:493. doi: 10.3390/ijms24108493

PubMed Abstract | Crossref Full Text | Google Scholar

15. Yilmaz, G, Biswas-Fiss, EE, and Biswas, SB. Sequence-dependent interaction of the human papillomavirus E2 protein with the DNA elements on its DNA replication origin. Int J Mol Sci. (2023) 24:555. doi: 10.3390/ijms24076555

PubMed Abstract | Crossref Full Text | Google Scholar

16. Laaneväli, A, Ustav, M, Ustav, E, and Piirsoo, M. E2 protein is the major determinant of specificity at the human papillomavirus origin of replication. PLoS One. (2019) 14:e0224334. doi: 10.1371/journal.pone.0224334

PubMed Abstract | Crossref Full Text | Google Scholar

17. Graham, SV. Human papillomavirus E2 protein: linking replication, transcription, and Rna processing. J Virol. (2016) 90:8384–8. doi: 10.1128/jvi.00502-16

PubMed Abstract | Crossref Full Text | Google Scholar

18. Lewis, H, and Gaston, K. Magnesium ions enhance the transfer of human papillomavirus E2 protein from non-specific to specific binding sites. J Mol Biol. (1999) 294:885–96. doi: 10.1006/jmbi.1999.3314

PubMed Abstract | Crossref Full Text | Google Scholar

19. Xi, Z, Zhang, Y, Hegde, RS, Shakked, Z, and Crothers, DM. Anomalous DNA binding by E2 regulatory protein driven by spacer sequence Tata. Nucleic Acids Res. (2010) 38:3827–33. doi: 10.1093/nar/gkq114

PubMed Abstract | Crossref Full Text | Google Scholar

20. Jin, S, Lin, F, Yang, L, and Zhang, Q. Association between dietary folate intake and Hpv infection: Nhanes 2005-2016. PLoS One. (2024) 19:e0306636. doi: 10.1371/journal.pone.0306636

PubMed Abstract | Crossref Full Text | Google Scholar

21. Jiang, L, Ma, S, Zhang, G, Jiang, L, and Yan, L. Analysis of tobacco exposures and high-risk Hpv infection in American women: National Health and nutrition examination survey. Environ Sci Pollut Res Int. (2023) 30:110489–98. doi: 10.1007/s11356-023-30175-7

PubMed Abstract | Crossref Full Text | Google Scholar

22. He, AJ, Chen, C, Jia, M, and Fan, RQ. Dietary calcium intake and HPV infection status among American women: a secondary Analysis from National Health and nutrition examination survey (NHANES) data set of 2003-2016. Med. Sci. Monit. (2020) 26:e921571. doi: 10.12659/msm.921571

PubMed Abstract | Crossref Full Text | Google Scholar

23. Zhao, Y, Zhao, J, Xie, R, Zhang, Y, Xu, Y, Mao, J, et al. Association between family income to poverty ratio and Hpv infection status among U.S. women aged 20 years and older: a study from Nhanes 2003-2016. Front Oncol. (2023) 13:1265356. doi: 10.3389/fonc.2023.1265356

PubMed Abstract | Crossref Full Text | Google Scholar

24. Chen, Z, Wu, Z, and Zhang, Y. Association between dietary magnesium intake and pelvic inflammatory disease in us women: a cross-sectional study of Nhanes. Front Nutr. (2024) 11:1430730. doi: 10.3389/fnut.2024.1430730

PubMed Abstract | Crossref Full Text | Google Scholar

25. Shukla, V, Parvez, S, Fatima, G, Singh, S, Magomedova, A, Batiha, GE, et al. Micronutrient interactions: magnesium and its synergies in maternal-fetal health. Food Sci Nutr. (2024) 12:6913–28. doi: 10.1002/fsn3.4316

PubMed Abstract | Crossref Full Text | Google Scholar

26. Durlach, J, Pagès, N, Bac, P, Bara, M, and Guiet-Bara, A. New data on the importance of gestational mg deficiency. Magnes Res. (2004) 17:116–25. doi: 10.1080/07315724.2004.10719411

PubMed Abstract | Crossref Full Text | Google Scholar

27. Han, S, Crowther, CA, and Moore, V. Magnesium maintenance therapy for preventing preterm birth after threatened preterm labour. Cochrane Database Syst Rev. (2013) 2013:CD000940. doi: 10.1002/14651858.CD000940.pub3

PubMed Abstract | Crossref Full Text | Google Scholar

28. Wang, Z, Wang, W, Yang, A, Zhao, W, Yang, J, Wang, Z, et al. Lower dietary mineral intake is significantly associated with cervical Cancer risk in a population-based cross-sectional study. J Cancer. (2021) 12:111–23. doi: 10.7150/jca.39806

PubMed Abstract | Crossref Full Text | Google Scholar

29. Li, FY, Chaigne-Delalande, B, Su, H, Uzel, G, Matthews, H, and Lenardo, MJ. Xmen disease: a new primary immunodeficiency affecting Mg2+ regulation of immunity against Epstein-Barr virus. Blood. (2014) 123:2148–52. doi: 10.1182/blood-2013-11-538686

PubMed Abstract | Crossref Full Text | Google Scholar

30. Tian, J, Tang, L, Liu, X, Li, Y, Chen, J, Huang, W, et al. Populations in low-magnesium areas were associated with higher risk of infection in Covid-19's early transmission: a Nationwide retrospective cohort study in the United States. Nutrients. (2022) 14:909. doi: 10.3390/nu14040909

PubMed Abstract | Crossref Full Text | Google Scholar

31. Wolf, FI, and Cittadini, A. Chemistry and biochemistry of magnesium. Mol Asp Med. (2003) 24:3–9. doi: 10.1016/s0098-2997(02)00087-0

PubMed Abstract | Crossref Full Text | Google Scholar

32. Gao, C, Pan, MM, Lei, YJ, Tian, LQ, Jiang, HY, Li, XL, et al. A point mutation in the DNA-binding domain of Hpv-2 E2 protein increases its DNA-binding capacity and reverses its transcriptional regulatory activity on the viral early promoter. BMC Mol Biol. (2012) 13:5. doi: 10.1186/1471-2199-13-5

PubMed Abstract | Crossref Full Text | Google Scholar

33. Hegde, RS. The papillomavirus E2 proteins: structure, function, and biology. Annu Rev Biophys Biomol Struct. (2002) 31:343–60. doi: 10.1146/annurev.biophys.31.100901.142129

PubMed Abstract | Crossref Full Text | Google Scholar

34. Gombart, AF, Pierre, A, and Maggini, S. A review of micronutrients and the immune system-working in harmony to reduce the risk of infection. Nutrients. (2020) 12:236. doi: 10.3390/nu12010236

PubMed Abstract | Crossref Full Text | Google Scholar

35. Ahluwalia, N, Sun, J, Krause, D, Mastro, A, and Handte, G. Immune function is impaired in Iron-deficient, homebound, older women. Am J Clin Nutr. (2004) 79:516–21. doi: 10.1093/ajcn/79.3.516

PubMed Abstract | Crossref Full Text | Google Scholar

36. Wintergerst, ES, Maggini, S, and Hornig, DH. Contribution of selected vitamins and trace elements to immune function. Ann Nutr Metab. (2007) 51:301–23. doi: 10.1159/000107673

PubMed Abstract | Crossref Full Text | Google Scholar

37. Liang, RY, Wu, W, Huang, J, Jiang, SP, and Lin, Y. Magnesium affects the cytokine secretion of Cd4+ T lymphocytes in acute asthma. J Asthma. (2012) 49:1012–5. doi: 10.3109/02770903.2012.739240

PubMed Abstract | Crossref Full Text | Google Scholar

38. Wang, X, Meyers, C, Guo, M, and Zheng, ZM. Upregulation of P18ink4c expression by oncogenic Hpv E6 via P53-Mir-34a pathway. Int J Cancer. (2011) 129:1362–72. doi: 10.1002/ijc.25800

PubMed Abstract | Crossref Full Text | Google Scholar

39. Garfinkel, L, and Garfinkel, D. Magnesium regulation of the glycolytic pathway and the enzymes involved. Magnesium. (1985) 4:60–72.

PubMed Abstract | Google Scholar

40. Nielsen, FH. Magnesium deficiency and increased inflammation: current perspectives. J Inflamm Res. (2018) 11:25–34. doi: 10.2147/jir.S136742

PubMed Abstract | Crossref Full Text | Google Scholar

41. Li, B, Zhang, L, Zhao, J, Tan, G, Zhang, W, Zhang, N, et al. The value of cytokine levels in triage and risk prediction for women with persistent high-risk human papilloma virus infection of the cervix. Infect Agents Cancer. (2019) 14:16. Epub 2019/07/13. doi: 10.1186/s13027-019-0231-z

PubMed Abstract | Crossref Full Text | Google Scholar

42. Lötscher, J, Martí, ILAA, Kirchhammer, N, Cribioli, E, Giordano Attianese, GMP, Trefny, MP, et al. Magnesium sensing via Lfa-1 regulates Cd8(+) T cell effector function. Cell. (2022) 185:585–602.e29. doi: 10.1016/j.cell.2021.12.039

PubMed Abstract | Crossref Full Text | Google Scholar

43. Bird, L. Magnesium: essential for T cells. Nat Rev Immunol. (2022) 22:144–5. doi: 10.1038/s41577-022-00688-2

PubMed Abstract | Crossref Full Text | Google Scholar

44. Kanellopoulou, C, George, AB, Masutani, E, Cannons, JL, Ravell, JC, Yamamoto, TN, et al. Mg(2+) regulation of kinase signaling and immune function. J Exp Med. (2019) 216:1828–42. doi: 10.1084/jem.20181970

PubMed Abstract | Crossref Full Text | Google Scholar

45. Melief, CJ, van Hall, T, Arens, R, Ossendorp, F, and van der Burg, SH. Therapeutic Cancer vaccines. J Clin Invest. (2015) 125:3401–12. doi: 10.1172/jci80009

PubMed Abstract | Crossref Full Text | Google Scholar

46. Neveu, G, Cassonnet, P, Vidalain, PO, Rolloy, C, Mendoza, J, Jones, L, et al. Comparative analysis of virus-host Interactomes with a mammalian high-throughput protein complementation assay based on Gaussia Princeps luciferase. Methods. (2012) 58:349–59. doi: 10.1016/j.ymeth.2012.07.029

PubMed Abstract | Crossref Full Text | Google Scholar

47. White, EA, Kramer, RE, Tan, MJ, Hayes, SD, Harper, JW, and Howley, PM. Comprehensive analysis of host cellular interactions with human papillomavirus E6 proteins identifies new E6 binding partners and reflects viral diversity. J Virol. (2012) 86:13174–86. doi: 10.1128/jvi.02172-12

PubMed Abstract | Crossref Full Text | Google Scholar

48. Williams, VM, Filippova, M, Soto, U, and Duerksen-Hughes, PJ. Hpv-DNA integration and carcinogenesis: putative roles for inflammation and oxidative stress. Future Virol. (2011) 6:45–57. doi: 10.2217/fvl.10.73

PubMed Abstract | Crossref Full Text | Google Scholar

49. Parida, S, and Mandal, M. Inflammation induced by human papillomavirus in cervical Cancer and its implication in prevention. Europ J Cancer Prev. (2014) 23:432–48. doi: 10.1097/cej.0000000000000023

PubMed Abstract | Crossref Full Text | Google Scholar

50. De Marco, F. Oxidative stress and Hpv carcinogenesis. Viruses. (2013) 5:708–31. doi: 10.3390/v5020708

PubMed Abstract | Crossref Full Text | Google Scholar

51. Boner, W, Taylor, ER, Tsirimonaki, E, Yamane, K, Campo, MS, and Morgan, IM. A functional interaction between the human papillomavirus 16 transcription/replication factor E2 and the DNA damage response protein Topbp1. J Biol Chem. (2002) 277:22297–303. doi: 10.1074/jbc.M202163200

PubMed Abstract | Crossref Full Text | Google Scholar

52. Alhosaini, M, and Leehey, DJ. Magnesium and Dialysis: the neglected cation. Am J Kidney Dis. (2015) 66:523–31. doi: 10.1053/j.ajkd.2015.01.029

PubMed Abstract | Crossref Full Text | Google Scholar

53. Globig, P, Madurawala, R, Willumeit-Römer, R, Martini, F, Mazzoni, E, and Luthringer-Feyerabend, BJC. Mg-based materials diminish tumor spreading and Cancer metastases. Bioactive Mater. (2023) 19:594–610. doi: 10.1016/j.bioactmat.2022.05.002

PubMed Abstract | Crossref Full Text | Google Scholar

54. Nie, X, Wang, L, Zhao, Z, Yang, J, and Lin, C. Biodegradable magnesium based metal materials inhibit the growth of cervical Cancer cells. Sci Rep. (2024) 14:19155. doi: 10.1038/s41598-024-63174-w

PubMed Abstract | Crossref Full Text | Google Scholar

55. Hu, C, Zhu, F, Liu, L, Zhang, M, and Chen, G. Relationship between dietary magnesium intake and rheumatoid arthritis in us women: a cross-sectional study. BMJ Open. (2020) 10:e039640. doi: 10.1136/bmjopen-2020-039640

PubMed Abstract | Crossref Full Text | Google Scholar

56. McNair, P, Christiansen, C, and Transbøl, I. Effect of menopause and estrogen substitutional therapy on magnesium metabolism. Miner Electrolyte Metab. (1984) 10:84–7.

PubMed Abstract | Google Scholar

57. Muneyyirci-Delale, O, Nacharaju, VL, Dalloul, M, Altura, BM, and Altura, BT. Serum ionized magnesium and calcium in women after menopause: inverse relation of estrogen with ionized magnesium. Fertil Steril. (1999) 71:869–72. doi: 10.1016/s0015-0282(99)00065-5

PubMed Abstract | Crossref Full Text | Google Scholar

58. Hoffmann, JP, Liu, JA, Seddu, K, and Klein, SL. Sex hormone signaling and regulation of immune function. Immunity. (2023) 56:2472–91. doi: 10.1016/j.immuni.2023.10.008

PubMed Abstract | Crossref Full Text | Google Scholar

59. Dong, H, Zeng, X, Xu, J, He, C, Sun, Z, Liu, L, et al. Advances in immune regulation of the G protein-coupled estrogen receptor. Int Immunopharmacol. (2024) 136:112369. doi: 10.1016/j.intimp.2024.112369

PubMed Abstract | Crossref Full Text | Google Scholar

60. Kovats, S. Estrogen receptors regulate innate immune cells and signaling pathways. Cell Immunol. (2015) 294:63–9. doi: 10.1016/j.cellimm.2015.01.018

PubMed Abstract | Crossref Full Text | Google Scholar

61. Institute of Medicine Standing Committee on the Scientific Evaluation of Dietary Reference Intakes. Dietary Reference Intakes for Calcium, Phosphorus, Magnesium, Vitamin D, and Fluoride. Washington, DC: National Academies Press (1997).

Google Scholar

62. Walker, AF, Marakis, G, Christie, S, and Byng, M. Mg citrate found more bioavailable than other mg preparations in a randomised, double-blind study. Magnes Res. (2003) 16:183–91.

PubMed Abstract | Google Scholar

63. Raverdeau, M, and Mills, KH. Modulation of T cell and innate immune responses by retinoic acid. J Immunol. (2014) 192:2953–8. doi: 10.4049/jimmunol.1303245

PubMed Abstract | Crossref Full Text | Google Scholar

64. Zhang, X, Dai, B, Zhang, B, and Wang, Z. Vitamin a and risk of cervical Cancer: a Meta-analysis. Gynecol Oncol. (2012) 124:366–73. doi: 10.1016/j.ygyno.2011.10.012

PubMed Abstract | Crossref Full Text | Google Scholar

65. Wierzbowska, N, Olszowski, T, Chlubek, D, Kozłowski, M, and Cymbaluk-Płoska, A. Vitamins in gynecologic malignancies. Nutrients. (2024) 16:9. doi: 10.3390/nu16091392

PubMed Abstract | Crossref Full Text | Google Scholar

66. Gelain, DP, de Bittencourt Pasquali, MA, Caregnato, FF, and Moreira, JC. Vitamin a (retinol) up-regulates the receptor for advanced glycation Endproducts (rage) through P38 and Akt oxidant-dependent activation. Toxicology. (2011) 289:38–44. doi: 10.1016/j.tox.2011.07.008

PubMed Abstract | Crossref Full Text | Google Scholar

67. Liu, M, and Dudley, SC Jr. Magnesium, oxidative stress, inflammation, and cardiovascular disease. Antioxidants. (2020) 9:907. doi: 10.3390/antiox9100907

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: HPV infection, magnesium intake, diet management, nutritional regulation, disease prevention

Citation: Chen H, Chen X, Chen Y, Tang L, Shi W-J and Ou Y-H (2025) L-type association between magnesium intake and human papillomavirus infection in US adult women: based on NHANES 2003–2016 data. Front. Nutr. 12:1594489. doi: 10.3389/fnut.2025.1594489

Received: 16 March 2025; Accepted: 15 May 2025;
Published: 30 May 2025.

Edited by:

Zhe Pei, Virginia Tech, United States

Reviewed by:

Andrew Pavelyev, Merck, United States
Yin Li, Tianjin University, China
Basem Bas Fares, Independent Researcher, Haifa, Israel
Nidhi Nath, Central University of Jharkhand, India

Copyright © 2025 Chen, Chen, Chen, Tang, Shi and Ou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Wen-Jing Shi, c3dqMzY0N0AxNjMuY29t; Yu-Hua Ou, MTA1MzY2ODczNEBxcS5jb20=

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.