Skip to main content

Can Omega-3 prevent the accidence of stroke: a mendelian randomization study

Abstract

Background

The lipid-lowering effects of Omega-3 fatty acids have been widely reported, yet their impact on ischemic stroke remains controversial. Reports on the protective effects of unsaturated fatty acids, such as Omega-6 and Omega-7, as well as saturated fatty acids in cardiovascular diseases, including hypertension and ischemic stroke, are less frequent.

Objectives

This study aims to identify fatty acids associated with blood pressure and ischemic stroke through Mendelian randomization. Besides, it seeks to determine whether specific fatty acids can prevent ischemic stroke by managing blood pressure and revealing the specific mechanisms of this action.

Methods

This research involved downloading relevant data from websites and extracting SNPs that met the standard criteria as instrumental variables. Simultaneously, the ‘MR-PRESSO’ package and ‘Mendelian Randomization’ package were used to eliminate confounding SNPs that could bias the study results. Then, inverse variance weighting and the weighted median were employed as primary analysis methods, accompanied by sensitivity analysis to assess the validity of the causal relationships. Initially, multivariable Mendelian randomization was used to identify fatty acids linked to blood pressure and the incidence of ischemic stroke. The causal link between certain fatty acids and the initiation of ischemic stroke was then investigated using bidirectional and mediator Mendelian randomization techniques. Stepwise Regression and the Product of Coefficients Method in mediator Mendelian randomization were utilized to ascertain whether specific fatty acids reduce ischemic stroke risk by lowering blood pressure.

Results

Multivariable Mendelian randomization analysis indicated a potential inverse correlation between Omega-3 intake and both blood pressure and ischemic stroke. Consequently, Omega-3 was selected as the exposure, with blood pressure and ischemic stroke-related data as outcomes, for further bidirectional and mediation Mendelian Randomization analyses. Bidirectional Mendelian Randomization revealed that Omega-3 significantly influences DBP (P = 1.01e-04) and IS (P = 0.016). It also showed that DBP and SBP significantly affect LAS, SVS, CES, IS, and LS. Mediator Mendelian Randomization identified five established mediating pathways: Omega-3-Diastolic blood pressure-Small vessel stroke, Omega-3-Diastolic blood pressure-Cardioembolic stroke, Omega-3-Diastolic blood pressure-Lacunar stroke, Omega-3-Diastolic blood pressure-Large artery atherosclerosis stroke, and Omega-3-Diastolic blood pressure-Ischemic stroke. Of these, four pathways are complete mediation, and one pathway is partial mediation.

Conclusions

The findings suggest that Omega-3 may indirectly reduce the incidence of ischemic stroke by lowering blood pressure. Thus, blood pressure modulation might be one of the mechanisms through which Omega-3 prevents ischemic stroke. In summary, incorporating an increased intake of Omega-3 in the diet can serve as one of the dietary intervention strategies for patients with hypertension. Additionally, it can act as an adjunctive therapy for the prevention of ischemic strokes and their complications.

A report by the World Health Organization (WHO) stated that cardiovascular diseases (CVDS) comprise various heart and vascular disorders. These encompass various disorders, not limited to coronary artery disease (CAD), cerebrovascular disease (CBD), peripheral arterial disease (PAD), rheumatic heart disease (RHD), congenital heart disease (CHD), deep vein thrombosis (DVT), and pulmonary embolism (PE) [1]. Cerebral stroke, a prevalent cerebrovascular accident, occurs when brain tissue is damaged due to sudden rupture or blockage of cerebral vessels, leading to compromised blood flow to the brain. Globally, stroke remains the second leading cause of death, accounting for 11.6% of total fatalities. Furthermore, it is the third largest contributor to disability-adjusted life years (DALYs), representing 5.7% of the total global disease burden [2]. Based on the WHO report, as of 2019, there were more than 101 million people globally living with the effects of stroke, and approximately 15 million new cases are reported annually [3].

Hypertension is identified by the WHO [4] and numerous scholars [5, 6] as a major precipitant of stroke [7], a finding corroborated in clinical practice [8]. In patients with poorly managed hypertension, the risk of stroke escalates [9] due to mechanisms such as the elevation of the baseline triglyceride-glucose index [10], which contributes to atherosclerosis and lipid-amine deposition [11, 12]. Consequently, the WHO recommends optimal blood pressure control as an effective strategy to reduce stroke risk across various ages, genders, and races [13]. However, achieving ideal blood pressure is not solely reliant on medication, as evidenced by stroke cases linked to poorly managed blood pressure [14, 15]. Thus, the identification of dietary supplements that can effectively regulate blood pressure is vital. These interventions not only aid in lowering hypertension incidence but also in preventing related complications, including ischemic stroke. Stroke is primarily categorized into hemorrhagic and ischemic types, with ischemic stroke constituting three-quarters of all cases [16]. While studies on the causal link between blood pressure and ischemic stroke incidence are less frequent, more research has focused on the relationship between blood pressure and functional outcomes in ischemic stroke patients [17]. Hence, this study zeroes in on ischemic stroke to investigate the influence of fatty acids and blood pressure on its occurrence.

Fatty acids are classified based on hydrogen atom counts in their carbon chains and carbon atom bond characteristics. These include total fatty acids (TFAs), saturated fatty acids (SFAs), polyunsaturated fatty acids (PUFAs), and monounsaturated fatty acids (MUFAs) [18]. PUFAs, containing two or more carbon-carbon double bonds [19], are further categorized based on the last double bond’s position in the carbon chain, leading to Omega-3, Omega-6, Omega-7, Omega-9, etc. Research shows PUFAs, through anti-inflammatory and anti-atherosclerosis actions [20] significantly reduce CVDS incidence [21, 22], including myocardial infarction [23], sudden cardiac death [24; 25], and stroke. Mendelian randomization(MR) studies demonstrate the protective effects of Omega-3 and Omega-6 on CVDS risk [26]. PUFAs effectively lower hypertension incidence [27], with specific fatty acids like linoleic acid [28] potentially preventing ischemic stroke via blood pressure reduction. Combining Omega-3 rich diets with antihypertensive drugs can control blood pressure [29] and reduce CVDS risk [30; 31]. However, some studies question the long-term link between Omega-3 intake and CVDS, including hypertension [31,32,33,34,35]. Less is known about the causal relationship between fatty acids like Omega-7, Omega-9, saturated fatty acids, and CVDS. A study found Omega-7 ineffective in reducing inflammatory biomarkers [36]. Omega-9 might reduce hypertension and ischemic stroke incidence through its anti-inflammatory effect [37], but data supporting the impact of Omega-7, Omega-9, and other fatty acids on blood pressure and heart disease are lacking.

In conclusion, the role of fatty acids in reducing ischemic stroke risk [38,39,40,41] and their protective effects against CVDs [42; 43] remain contentious, with no definitive consensus reached. MR studies, which use single nucleotide polymorphisms (SNPs) closely associated with the exposure of interest as instrumental variables [44], are instrumental in establishing causal relationships and examining the links between exposures and outcomes [45]. These studies effectively overcome the limitations of cost and confounding factors inherent in clinical observational studies. MR provides robust evidence to either confirm or refute causal hypotheses linking environmental exposures to diseases [46]. Therefore, some studies have employed MR to investigate the association between omega-3 and other PUFAs with brain diseases such as epilepsy [47], hydrocephalus [48], Alzheimer’s disease [49], Parkinson’s disease [50] and so on. These studies provide methodological examples and feasibility assurance for the conduct of this research. Hence, this study employed MR to explore the influence of fatty acids on ischemic stroke and test the hypothesis that fatty acids can prevent ischemic stroke by regulating blood pressure. This offers theoretical support and guidance for ischemic stroke prevention in clinical practice, particularly in managing ischemic stroke sequelae in patients with abnormal blood pressure.

Materials and methods

Data source

This research utilized publicly accessible GWAS data to acquire relevant exposure, mediator, and outcome datasets. Given previous findings that the effects of Omega-3 fatty acids on cardiovascular disease may vary among different populations [51], this study specifically targeted individuals of European descent to ensure a more focused population sample, aiming to reduce potential biases in the MR study results. The IEU Open GWAS Project provided the GWAS data for Omega-3, Omega-6, Omega-7, Omega-9, and SFAs, as well as the ratios of Omega-3 to total fatty acids and Omega-6 to Omega-3 fatty acids. Additionally, The GWAS datasets for systolic blood pressure (SBP) and diastolic blood pressure (DBP), derived from a meta-analysis of 1.3 million individuals, were utilized as measures for blood pressure evaluation, with hypertensive patients serving as the observation group [52], were obtained as measures for blood pressure evaluation. This study also incorporated overall GWAS data for ischemic stroke (IS) and included four common ischemic stroke subtypes – large artery atherosclerosis stroke (LAS), cardioembolic stroke (CES), small vessel stroke (SVS), and lacunar stroke (LS) – in the analysis, acquiring the relevant GWAS data from the IEU Open GWAS Project. Details of each dataset are presented in Table 1.

Table 1 Overview of GWAs data used in MR

Overall study design

As depicted in Fig. 1, this study employed a combination of multivariable Mendelian randomization (MVMR), mediation MR analysis, and bidirectional MR analysis to investigate the causal relationship between fatty acids and ischemic stroke. Initially, three datasets representing Omega-3, Omega-6, (Omega-7, Omega-9, and SFAs) fatty acids were included as exposures, with blood pressure and ischemic stroke data serving as outcomes. MVMR accounts for the relationships between multiple genetic variants and multiple exposures, offering improved control over confounding factors [53], thereby enabling more precise estimation of the “direct” causal effects [54] of each exposure (fatty acids) on the mediator (blood pressure) and the outcome (ischemic stroke).

Following the MVMR results, the study advanced to mediation MR analysis, employing a stepwise testing approach and the product of coefficients method. This analysis incorporated one dataset for Omega-3 fatty acids, two for blood pressure, and five for ischemic stroke, aiming to determine if blood pressure mediates the relationship between Omega-3 fatty acids and ischemic stroke incidence. Mediation MR typically involves three steps. Firstly, SNPs predict the genetic risk score for Omega-3 fatty acids, estimating its causal impact on blood pressure and ischemic stroke. Secondly, SNPs associated with blood pressure are used to estimate its causal effect on ischemic stroke. Thirdly, Omega-3 fatty acids’ total effect on ischemic stroke is dissected into direct (independent of blood pressure) and indirect (mediated via blood pressure) effects. The mediation coefficient and corresponding p-value were calculated using the product of coefficients method. Concurrently, reverse MR analysis was conducted in the mediation MR phase to explore potential reverse causality. Finally, As A Supplement, ratios of Omega-3 to total fatty acids and Omega-6 to Omega-3 fatty acids were utilized as indicators of the Omega-3 rate relative to other acids, to further investigate the causal link between changes in the Omega-3 ratio and variations in blood pressure and ischemic stroke risk.

Fig. 1
figure 1

Overview of the present study design

MR methods

Instrument selection

Instrument selection for this study involved procuring the latest GWAS data and carefully selecting genetic association data based on criteria such as sample size, number of SNPs, publication year, and ancestry (as detailed in Table 1). Adhering to the three foundational assumptions of MR [55], the study first ensured that the instrumental variables, specifically SNPs, had a strong correlation with the exposure factors. Relevant phenotypes of selected SNPs, all independent (r2 < 0.001) and strongly associated (P < 5E-8), were sourced from the GWAS database. Due to the limited number of SNPs meeting the P < 5E-8 criterion for fatty acids, the threshold was relaxed to P < 5E-6 [56] for these exposures. The effectiveness of these instrumental variables was assessed with the F-statistic(F = R2×(n − k−1)/(1 − R2)×K), selecting only those with F > 10 [57] to exclude weak instruments from influencing MR results. Detailed SNP information is provided in Supplementary material 1.

The second MR assumption ensures that selected SNPs are not associated with confounding factors. The SNPs in this study, adhering to the law of independent assortment, were strongly correlated with the exposure while being unrelated to potential confounders. The third assumption mandates that instrumental variables influence the outcome exclusively through the exposure. To satisfy these latter two assumptions, the study used the ‘Mendelian randomization’ package to eliminate SNPs potentially affecting outcomes through other pathways and restricted the study population to Europeans to minimize bias. Besides, we use the ‘MR-PRESSO’ package, setting the NbDistribution value to 1000, to identify SNPs that are outliers. These outlier SNPs are then removed before conducting the MR analysis. By identifying SNPs using the ‘Mendelian randomization’ and ‘MR-PRESSO’ packages, we can effectively eliminate confounding factors.

Additionally, the study employed four different methods — Maximum likelihood, inverse variance weighted (IVW), MR-Egger, and Weighted median — to detect and adjust for any direct associations between the instrumental variables and the outcomes. Sensitivity analyses were performed to evaluate heterogeneity and pleiotropy as well, further ensuring the robustness of the study’s findings against potential deviations from the MR assumptions.

Random-effect method

This study employed four MR approaches to explore causal connections. The inverse variance weighted (IVW) method was selected as the primary technique in situations where there was no heterogeneity or pleiotropy among the instrumental variables (IVs), as it offers consistent and high statistical power [58]. This method provides an accurate estimation of the causal effect, minimizing the impact of confounding factors and measurement errors. In cases of heterogeneity without pleiotropy, the Weighted median method was predominantly used [59], with the other three methods serving as supplementary approaches to estimate the MR effect. When pleiotropy was present, the MR-Egger method’s results were given priority [60]. Employing multiple methods allowed the study to assess the robustness and reliability of causal estimates under varying assumptions and potential biases.

Sensitivity analysis

Sensitivity analysis played a crucial role in assessing the robustness of the MR analysis, with a focus on heterogeneity and pleiotropy. Heterogeneity was evaluated using Cochran’s Q_pval statistic [61]. Q_pval value exceeding 0.05 indicates negligible heterogeneity among the included studies. To evaluate pleiotropy, the study analyzed the MR-Egger’s intercept, with the p-value of the intercept indicating the presence of pleiotropy. A p-value below 0.05 for the intercept rejects the null hypothesis, suggesting notable pleiotropy. This indicates that the chosen instrumental variables might affect not only the specific exposure under study but also other exposures, potentially introducing bias. The results of the sensitivity analysis and the specific MR methods utilized are thoroughly detailed in Supplementary material 27.

Visualizations

In this study, scatter plots, forest plots, and funnel plots were used to visualize and evaluate the efficacy and robustness of the MR analysis. Scatter plots were used to depict the effect sizes determined by each MR method, representing them as dots. This graphical approach allows for a straightforward visualization of the strength and direction of the associations between genetic variations, exposures, and outcomes, offering a visual insight into the relationships among these variables.

Forest plots were utilized to estimate the causal effects derived from multiple genetic variations. These plots visually represent the estimated effects of each genetic variant, facilitating a comparison of the consistency and directionality of the causal effects across different variants. Forest plots are instrumental in determining whether the causal effects uniformly point in a similar direction, and they provide a comprehensive view of the overall causal effect.

Funnel plots were employed to evaluate potential biases within the study, aiming to assess the precision and reliability of the results. These plots position the genetic variations around the overall effect estimate, creating a symmetrical distribution when there is no bias. The symmetry of the funnel plot is a crucial factor in detecting potential biases in the study.

All these plots, including scatter, forest, and funnel plots, are detailed in Supplementary material 8, providing a comprehensive visual representation and assessment of the MR study’s findings.

Statistical analysis

In this study, MR analysis was carried out using the R programming language. Specifically, R packages such as TwoSampleMR and ggplot were employed for the MR analysis. The selection of MR methods was based on the results obtained from the sensitivity analysis.

For determining the statistical significance in estimating causal relationships, a p-value threshold of 0.05 was adopted. This threshold is a commonly used criterion in statistical analyses to denote significance, implying that results with a p-value below 0.05 are considered statistically significant and less likely to be due to chance.

Both pleiotropy and heterogeneity tests in this study also adhered to the p-value threshold of 0.05 for statistical significance. This consistency in the threshold across different tests ensures a standardized approach to evaluating the robustness and reliability of the study’s findings. The use of such thresholds is crucial in MR analysis for determining the validity of the causal inferences drawn from the genetic data.

Result

During the MVMR study, this research explored the causal relationships among Omega-3 fatty acids, Omega-6 fatty acids, Omega-7 fatty acids, Omega-9 fatty acids, and saturated fats in relation to blood pressure and ischemic stroke. Redundancy in overlapping samples was minimized using the “mv_extract_exposures” function. Notably, all chosen SNPs exhibited an F-value greater than 10, affirming their robustness as instrumental variables. For comprehensive details, Supplementary material 1 is recommended, which offers further insights and specifics about the selected SNPs and their attributes.

Sensitivity analysis result

To evaluate the stability of the MR analysis, this study included a sensitivity analysis addressing heterogeneity and pleiotropy. Concurrently, the leave-one-out method was employed to ascertain the impact of each SNP on the results, and funnel plots were utilized to investigate potential pleiotropy. For comprehensive information regarding the sensitivity analysis outcomes and the chosen final MR model, please refer to Supplementary material 27.

MR analysis

Effect of fatty acids on mediators and outcomes

As illustrated in Fig. 2, the analysis identified a significant correlation between Omega-3 fatty acids and DBP(P = 2.57e-7, Beta = -0.032), LAS(P = 0.001, OR = 1.269) and IS(P = 0.017, OR = 1.080).With regard to Omega-6 fatty acids, the analysis suggests a significant causal link with CES(P = 0.027, OR = 0.884). For Omega-7, Omega-9, and SFAs, no significant causal relationship was found. In summary, the MVMR approach has identified a potentially significant causal link between Omega-3 fatty acids and blood pressure, as well as between Omega-3 fatty acids and ischemic stroke. To further probe the causal effects of Omega-3 on blood pressure and ischemic stroke, this study implemented Bidirectional MR and Mediation MR studies. These studies used Omega-3 as the exposure, blood pressure as the mediator, and ischemic stroke as the outcome, aiming to explore and validate this causal relationship.

Fig. 2
figure 2

Causal relationship between fatty acids and blood pressure and ischemic stroke

Effect of Omega-3 on blood pressure

Figure 3 demonstrates that Omega-3 exerts a significant negative causal effect on DBP(P = 1.01e-04 < 0.05), signifying statistical significance. However, Omega-3 does not show a significant causal effect on SBP(P = 0.072). The Weighted Median analysis indicates that an increase in Omega-3 levels substantially reduces DBP (Beta = -0.038, 95% CI: -0.056 to -0.019). Additionally, reverse MR analysis confirms the absence of a significant reverse causal relationship between Omega-3 and DBP (P = 0.237). In conclusion, MR analysis suggests that elevating Omega-3 levels can lower DBP, but appears to have little significant impact on SBP.

Fig. 3
figure 3

MR Results of Omega-3, blood pressure, and ischemic stroke

Effect of Omega-3 on ischemic stroke

Figure 3 demonstrates that there is a likely positive causal relationship between Omega-3 and IS(P = 0.016, 95% CI: 1.015 to 1.155). Additionally, the research found no causal connection between Omega-3 and LAS(P = 0.626),SVS(P = 0.116 ), CES(P = 0.611 ), and LS(P = 0.428 ).In conclusion, the study, employing bidirectional MR, suggests that changes in Omega-3 levels in the human body may have a significant causal effect on IS.

Overview of intermediary MR

From Figs. 4 and 5, and Table 2, this study identified five mediating pathways. Among these, Omega-3-DBP-SVS, Omega-3-DBP-CES, Omega-3-DBP-LAS and Omega-3-DBP-LS were complete mediations, while Omega-3-DBP-IS were partial mediations. Coefficient testing revealed that all mediation effect coefficients were less than 0, with p-values below 0.05 (as shown in Table 2), indicating significant mediating effects of DBP in the causal relationship between Omega-3 and ischemic stroke. Therefore, the results of mediation MR suggest that DBP likely serves as a mediator between Omega-3 and ischemic stroke; that is, an increase in Omega-3 levels in the body can reduce DBP, thereby lowering the risk of LAS, SVS, CES, IS, and LS.

Fig. 4
figure 4

Results of Mediation Mendelian Randomization

Table 2 Overview of the results of mediation MR
Fig. 5
figure 5

The scatter plot presents the associations between SNPs linked to Omega-3 and both blood pressure and ischemic stroke, following the exclusion of outliers using MR-PRESSO. The analysis utilized several methods, including inverse variance-weighted, weighted median, MR-Egger, and maximum likelihood. The slope of each line in the plot reflects the estimated MR effect as determined by each method

Fig. 6
figure 6

MR Results of Omega-3 rate, Blood pressure and Ischemic Stroke

Fig. 7
figure 7

MR Results of DHA, blood pressure and ischemic stroke

Effect of Omega-3 rate on blood pressure and ischemic stroke

Figure 6 clearly demonstrates that the ratio of Omega-3 fatty acids to total fatty acids does not have a significant causal relationship with several cardiovascular and cerebrovascular conditions and measurements, including DBP (P = 0.145), SBP (P = 0.597), IS (P = 0.238), LAS (P = 0.073), SVS (P = 0.109), CES (P = 0.132), and LS (P = 0.238). However, the ratio of Omega-6 fatty acids to Omega-3 fatty acids shows a significant causal relationship with LAS (P = 0.001, 95% CI: 0.713 to 0.912), indicating a potential impact on these health outcomes. Conversely, there is no significant relationship between the ratio of Omega-6 fatty acids to Omega-3 fatty acids with SVS (P = 0.112), CES (P = 0.077), IS(P = 0.442),LS (P = 0.529),DBP(P = 0.159) or SBP (P = 0.177). In summary, bidirectional MR has demonstrated that the ratio of Omega-3 fatty acids to total fatty acids appears to have no causal relationship with blood pressure or ischemic stroke. Conversely, an increased ratio of Omega-6 fatty acids to Omega-3 fatty acids is associated with a higher incidence of LAS.

Discussion

This research utilized MR, specifically MVMR, bidirectional MR, and mediation MR, to investigate the association between prevalent fatty acids, blood pressure, and ischemic stroke. Among the commonly studied PUFAs, Omega-3 has been shown to effectively regulate blood pressure [29, 62], enhance vascular compliance [63], and improve vascular physiological activity [64], aligning with previous research findings. In contrast, the protective impact of Omega-6 on blood pressure and cerebral vessels appears less pronounced. Excessive consumption of Omega-6 has been linked to promoting inflammatory responses [65], potentially increasing the risks of hypertension and stroke. Therefore, monitoring the intake ratio of Omega-3 to Omega-6 is advisable [66, 67] in preventative measures against CVDs.

To delve deeper into the causal impacts of Omega-3 on blood pressure and ischemic stroke, this investigation employed two-sample MR. It specifically examined the ratio of Omega-3 fatty acids to total fatty acids and the ratio of Omega-6 fatty acids to Omega-3 fatty acids as the exposures, with ischemic stroke as the outcome. The results showed no clear causal relationship between the variation in the ratio of Omega-3 fatty acids to total fatty acids and blood pressure or types of ischemic stroke (Fig. 6). However, a significant causal relationship was found between the ratio of Omega-6 fatty acids to Omega-3 fatty acids and LAS (P = 0.001, OR = 0.806, 95% CI: 0.713 to 0.912), with no causal relationship observed with other types of ischemic stroke (Fig. 6). In conclusion, additional research is necessary to investigate the potential protective roles of Omega-6, Omega-7, Omega-9 fatty acids, and SFAs on the cardiovascular and cerebrovascular system.

Experimental research has consistently shown that dietary supplementation with Omega-3 PUFAs can potentially control thrombus formation and vascular occlusion by reducing platelet function [68], thereby lowering the risk of stroke [69]. Additionally, Omega-3 has been observed to aid in neurovascular recovery dynamics and brain repair, ultimately enhancing neurological function post-stroke [70]. Nevertheless, this study’s findings suggest that while Omega-3 may not directly reduce ischemic stroke risk, it can effectively regulate blood pressure within an optimal range, thus diminishing the incidence of ischemic stroke—a mechanism similar to blood pressure’s protective role against ischemic stroke. As for the mechanism of action, prior studies have established that Omega-3 can effectively lower triglyceride-glucose levels in individuals with hypertension [71] and reduce vascular inflammation, thereby mitigating arteriosclerosis [72]. This is achieved through the production of anti-inflammatory and anti-inflammatory lysins [73, 74]. Elevated triglyceride-glucose levels [9] and arteriosclerosis [10] are key factors in stroke development among hypertensive individuals. As a result, while the direct anti-stroke effects of Omega-3 fatty acids may be limited, their role in indirectly reducing stroke risk through multiple biological mechanisms cannot be overlooked. In summary, Omega-3 PUFAs play a significant role in the prevention and treatment of cardiovascular diseases, and their potential as an adjunctive therapeutic approach should be considered in clinical practice. Therefore, in the clinical management of hypertension, it may be beneficial to increase the intake of Omega-3 and reduce Omega-6 in the diet of hypertensive patients, incorporating Omega-3 fatty acids as a part of the adjunctive treatment. This offers a safe and effective method to supplement pharmacological treatments for hypertensive patients. Additionally, given the positive role of Omega-3 in promoting neurovascular recovery and brain repair, it can be considered as a potential nutritional intervention to prevent ischemic strokes (especially LAS and IS) and to reduce complications post-ischemic stroke.

The numerous studies establishing a link between inflammation and the development of hypertension [75, 76] are critical to understanding the broader context of cardiovascular health. Stroke, often a consequence of arteriosclerosis (AS), is primarily characterized by disorders in lipid metabolism, oxidative stress, and inflammation [77, 78]. These inflammatory responses and metabolic irregularities might interfere with the utilization of Omega-3 fatty acids, potentially leading to reduced blood concentrations. However, this study, utilizing reversed MR, did not identify a significant causal relationship between Omega-3 fatty acids and conditions such as blood pressure and ischemic stroke. This could be attributed to the fact that Omega-3 fatty acids are not endogenously produced in the human body and must be ingested through diet, including foods like vegetable oils, fish, and algae. Another possible reason is that the metabolism of Omega-3 in the body is relatively stable, not easily affected by the inflammatory responses and metabolic abnormalities associated with diseases, or the impact of these diseases on Omega-3 is minimal, not reaching the threshold that would affect its physiological functions. Consequently, conditions such as hypertension and ischemic stroke appear to have a minimal impact on the metabolism of Omega-3 fatty acids.

In summary, this research, employing the MR approach, has affirmed the causal relationship between Omega-3 fatty acids and both blood pressure and ischemic stroke. It underscores the beneficial regulatory role of Omega-3 in the cardiovascular and cerebrovascular systems. ALL in all, this finding further emphasizes the important role of Omega-3 in maintaining cardiovascular and cerebrovascular health, particularly its beneficial effects in regulating blood pressure and reducing the risk of ischemic stroke.

Innovation and limitation

This study comprehensively applies bidirectional MR and mediator MR methods, with strict selection of SNPs and rigorous screening standards and analytical strategies to ensure the credibility of the results. It elucidated the preventive role of fatty acids, especially Omega-3 fatty acids, in relation to ischemic stroke, and provided evidence for the mechanism by which Omega-3 fatty acids may reduce ischemic stroke risk by protecting blood pressure, particularly DBP, using the MR approach. Consequently, this study establishes a foundation for using the MR method in future research efforts aimed at investigating the causal links between fatty acids and other CVDs, such as coronary heart disease and myocardial infarction and offers a robust framework for understanding the potential therapeutic benefits of Omega-3 fatty acids in the context of heart and brain health. Besides, the framework of this study can be applied to research on the causal relationships between other nutrients and various diseases, promoting the development of personalized medicine and precise prevention strategies. However, it does have limitations.

Selection of instrumental variables

Adopting a strict p-value threshold of < 5e-8 for selecting instrumental variables would yield only a limited number of SNPs. Consequently, this study chose a more lenient threshold (P < 5e-6) for selecting instrumental variables related to fatty acids.

Influence of various factors

An expanding volume of research indicates that the effectiveness of Omega-3 fatty acids in guarding against cardiovascular and cerebrovascular diseases may be influenced by dosage [79, 80], ethnicity [51], gender [81], and dietary culture [82]. Unfortunately, this study could not locate datasets stratified by these factors for Omega-3 content, thus limiting the scope for further research.

The lack of analysis of SNPs

The main objective of this study is to apply MR to uncover the causal relationship between Omega-3 and both blood pressure and stroke. During the research process, this study identified some SNPs associated with blood pressure and stroke. These SNPs can help elucidate the specific mechanisms and potential targets of Omega-3, providing guidance for the prevention of clinical stroke and hypertension. However, to further analyze these SNPs, it is necessary to apply bioinformatics methods such as functional annotation, expression quantitative trait loci (eQTL) analysis, and pathway analysis to deeply investigate the biological functions and mechanisms of these SNPs. Nevertheless, these bioinformatics methods are entirely different from the MR and are not the focus of this study, hence there is a lack of detailed analysis in this area.

Role of EPA and DHA

Some studies report that Eicosapentaenoic acid (EPA) and Docosahexaenoic acid (DHA) effectively reduce the incidence and mortality rates of CVDs [83], while others find no significant association between EPA, DHA, and CVDs [69]. In response, this study conducted two-sample MR with DHA as the exposure, examining its impact on blood pressure and ischemic stroke. According to Fig. 7, DHA shows a significant association with LAS (P = 3.73e-04, 95% CI: 1.136 to 1.552) and DBP (P = 6.91e-07, 95% CI: -0.052 to -0.023). However, the discovery of a bidirectional causal relationship between DHA and DBP (P = 0.028 < 0.05) challenges the initial hypothesis of a causal link between DHA and DBP. No evident causal relationship was found between DHA and other blood pressure aspects or the incidence of ischemic stroke (Supplementary material 7). Additionally, no datasets for EPA were found in this study. As the database continues to be updated, further research can be conducted on the preventive and therapeutic roles of common types of Omega-3 fatty acids in managing blood pressure and ischemic stroke. This will provide more scientific evidence and reasonable guidance for the prevention and dietary management of ischemic stroke in clinical practice.

Conclusions

This study, utilizing the MR approach, has substantiated the influence of PUFAs on blood pressure and ischemic stroke. The findings confirm the effective regulatory action of Omega-3 on blood pressure, assisting patients with hypertension in maintaining their blood pressure within an optimal range. Additionally, by employing mediation MR and bidirectional MR methods, the study revealed that while Omega-3 may not directly diminish the incidence of ischemic stroke, it potentially reduces the risk of ischemic stroke by lowering DBP. This indirect mechanism suggests a significant role for Omega-3 in the management of factors contributing to ischemic stroke, highlighting its importance in cardiovascular health strategies.

Data availability

The datasets utilized in this study are available in online repositories, specifically at www.gwas.mrcieu.ac.uk. Detailed information regarding SNPs and their associations with unsaturated fatty acids, blood pressure, and ischemic stroke can be found in the supplementary materials. For additional information or specific inquiries, please directly contact the corresponding author of the study.

Abbreviations

IVW:

Inverse variance weighted

IVs:

Instrumental variables

MR:

Mendelian randomization

MVMR:

Multivariable Mendelian randomization

GWAS:

Genome-wide association study

SNPs:

Single nucleotide polymers

WHO:

World Health Organization

CVDS:

Cardiovascular diseases

CAD:

Coronary artery disease

CBD:

Cerebrovascular disease

PAD:

Peripheral arterial disease

RHD:

Rheumatic heart disease

CHD:

Congenital heart disease

DVT:

Deep vein thrombosis

PE:

Pulmonary embolism

DALYs:

Disability-adjusted life years

TFAs:

Total fatty acids

SFAs:

Saturated fatty acids

PUFAs:

Polyunsaturated fatty acids

MUFAs:

Monounsaturated fatty acids

AS:

Arteriosclerosis

EPA:

Eicosapentaenoic acid

DHA:

Docosahexaenoic acid

CES:

Cardioembolic stroke

SVS:

Small vessel stroke

LAS:

Large artery atherosclerosis stroke

Ω-3:

Omega-3

DBP:

Diastolic blood pressure

SBP:

Systolic blood pressure

IS:

Ischemic stroke

LS:

Lacunar stroke

Ω-3 rate:

Ratio of Omega-3 fatty acids to total fatty acids

Ω-6/Ω-3:

Ratio of Omega-6 fatty acids to Omega-3 fatty acids

References

  1. https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds).

  2. Feigin VL, Brainin M, Norrving B, et al. Lindsay, World Stroke Organization (WSO): global stroke fact sheet 2022. Int J Stroke. 2022;17:18–29.

    Article  PubMed  Google Scholar 

  3. Collaborators GBDS. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the global burden of Disease Study 2019. Lancet Neurol. 2021;20:795–820.

    Article  Google Scholar 

  4. https://www.who.int/publications/i/item/9241562072

  5. Song YM, Sung J, Lawlor DA, et al. Blood pressure, haemorrhagic stroke, and ischaemic stroke: the Korean national prospective occupational cohort study. BMJ. 2004;328:324–5.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Endres M, Heuschmann PU, Laufs U, Hakim AM. Primary prevention of stroke: blood pressure, lipids, and heart failure. Eur Heart J. 2011;32:545–52.

    Article  PubMed  Google Scholar 

  7. Dong C, Della-Morte D, Rundek T. et al, evidence to maintain the systolic blood pressure treatment threshold at 140 mm hg for Stroke Prevention: the Northern Manhattan Study. Hypertension. 2016;67:520–6.

    Article  CAS  PubMed  Google Scholar 

  8. Randomised trial of. A perindopril-based blood-pressure-lowering regimen among 6,105 individuals with previous stroke or transient ischaemic attack. Lancet. 2001;358:1033–41.

    Article  Google Scholar 

  9. Huang Z, Ding X, Yue Q. Triglyceride-glucose index trajectory and stroke incidence in patients with hypertension: a prospective cohort study. Cardiovasc Diabetol. 2022;21:141.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Dickinson CJ. Why are strokes related to hypertension? Classic studies and hypotheses revisited. J Hypertens. 2001;19:1515–21.

    Article  CAS  PubMed  Google Scholar 

  11. Woo D, Haverbusch M, Sekar P. Effect of untreated hypertension on hemorrhagic stroke. Stroke. 2004;35:1703–8.

    Article  PubMed  Google Scholar 

  12. Arima H, Kiyohara Y. [Impact of mild hypertension on the risks of cardiovascular disease: the Hisayama Study]. Nihon Rinsho. 2008;66:1453–7.

    PubMed  Google Scholar 

  13. Liu LS, Caguioa ES, Park CG et al. Asia-Pacific Consensus Conference on Stroke Prevention in Hypertensive, Reducing stroke risk in hypertensive patients: Asian Consensus Conference recommendations. Int J Stroke 1 (2006) 150-7.

  14. Howard G, Banach M, Cushman M. Is blood pressure control for stroke prevention the correct goal? The lost opportunity of preventing hypertension. Stroke. 2015;46:1595–600.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Klungel OH, Kaplan RC, Heckbert SR, et al. Control of blood pressure and risk of stroke among pharmacologically treated hypertensive patients. Stroke. 2000;31:420–4.

    Article  CAS  PubMed  Google Scholar 

  16. Xu M, Wu R, Liang Y, et al. Protective effect and mechanism of Qishiwei Zhenzhu pills on cerebral ischemia-reperfusion injury via blood-brain barrier and metabonomics. Biomed Pharmacother. 2020;131:110723.

    Article  CAS  PubMed  Google Scholar 

  17. Liu H, Zhang X, Zhou Y, et al. Association between blood pressure and different antihypertensive drugs with outcome after ischemic stroke: a mendelian randomization study. Int J Stroke. 2023;18:1247–54.

    Article  PubMed  Google Scholar 

  18. Ananthakrishnan AN, Khalili H, Konijeti GG, et al. Long-term intake of dietary fat and risk of ulcerative colitis and Crohn’s disease. Gut. 2014;63:776–84.

    Article  CAS  PubMed  Google Scholar 

  19. https://en.wikipedia.org/wiki/Polyunsaturated_fatty_acid

  20. Simonetto M, Infante M, Sacco RL et al. A novel anti-inflammatory role of Omega-3 PUFAs in Prevention and treatment of atherosclerosis and vascular cognitive impairment and dementia. Nutrients 11 (2019).

  21. Calder PC. Omega-3 polyunsaturated fatty acids and inflammatory processes: nutrition or pharmacology? Br J Clin Pharmacol. 2013;75:645–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Saber H, Yakoob MY, Shi P, Longstreth WT, et al. Omega-3 fatty acids and Incident Ischemic Stroke and its atherothrombotic and cardioembolic subtypes in 3 US cohorts. Stroke. 2017;48:2678–85.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Mozaffarian D, Micha R, Wallace S. Effects on coronary heart disease of increasing polyunsaturated fat in place of saturated fat: a systematic review and meta-analysis of randomized controlled trials. PLoS Med. 2010;7:e1000252.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Harris WS, Park Y, Isley WL. Cardiovascular disease and long-chain omega-3 fatty acids. Curr Opin Lipidol. 2003;14:9–14.

    Article  CAS  PubMed  Google Scholar 

  25. von Schacky C. Omega-3 fatty acids and cardiovascular disease. Curr Opin Clin Nutr Metab Care. 2004;7:131–6.

    Article  Google Scholar 

  26. Borges MC, Haycock PC, Zheng J, et al. Role of circulating polyunsaturated fatty acids on cardiovascular diseases risk: analysis using mendelian randomization and fatty acid genetic association data from over 114,000 UK Biobank participants. BMC Med. 2022;20:210.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Shramko VS, Polonskaya YV, Kashtanova EV et al. The short overview on the relevance of fatty acids for Human Cardiovascular disorders. Biomolecules 10 (2020).

  28. Iso H, Sato S, Umemura U, et al. Linoleic acid, other fatty acids, and the risk of stroke. Stroke. 2002;33:2086–93.

    Article  CAS  PubMed  Google Scholar 

  29. Stanton AV, James K, Brennan MM, et al. Omega-3 index and blood pressure responses to eating foods naturally enriched with omega-3 polyunsaturated fatty acids: a randomized controlled trial. Sci Rep. 2020;10:15444.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Willett WC. Dietary fats and coronary heart disease. J Intern Med. 2012;272:13–24.

    Article  CAS  PubMed  Google Scholar 

  31. Cabiddu MF, Russi A, Appolloni L, et al. Omega-3 for the prevention of cardiovascular diseases: meta-analysis and trial-sequential analysis. Eur J Hosp Pharm. 2022;29:134–8.

    Article  PubMed  Google Scholar 

  32. A MCY. - fish and omega-3 fatty acid consumption and risk of hypertension. - J Hypertens. 2019;37(6):1223–9.

    Article  Google Scholar 

  33. Senftleber NK, Albrechtsen A, Lauritzen L, et al. Omega-3 fatty acids and risk of cardiovascular disease in Inuit: first prospective cohort study. Atherosclerosis. 2020;312:28–34.

    Article  CAS  PubMed  Google Scholar 

  34. Nestel P, Clifton P, Colquhoun D, et al. Indications for Omega-3 long chain polyunsaturated fatty acid in the Prevention and Treatment of Cardiovascular Disease. Heart Lung Circ. 2015;24:769–79.

    Article  PubMed  Google Scholar 

  35. Harris WS, Mozaffarian D, Rimm E, et al. Omega-6 fatty acids and risk for cardiovascular disease: a science advisory from the American Heart Association Nutrition Subcommittee of the Council on Nutrition, Physical Activity, and metabolism; Council on Cardiovascular nursing; and Council on Epidemiology and Prevention. Circulation. 2009;119:902–7.

    Article  PubMed  Google Scholar 

  36. Sasagawa M, Boclair MJ, Amieux PS. Omega-7 mixed fatty acid supplementation fails to reduce serum inflammatory biomarkers: a Placebo-Controlled, double-blind randomized crossover trial. Nutrients 13 (2021).

  37. Farag MA, Gad MZ. Omega-9 fatty acids: potential roles in inflammation and cancer management. J Genet Eng Biotechnol. 2022;20:48.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Rist PM, Buring JE, Cook NR, et al. Effect of vitamin D and/or omega-3 fatty acid supplementation on stroke outcomes: a randomized trial. Eur J Neurol. 2021;28:809–15.

    Article  PubMed  Google Scholar 

  39. Larsson SC. Dietary fats and other nutrients on stroke. Curr Opin Lipidol. 2013;24:41–8.

    Article  CAS  PubMed  Google Scholar 

  40. Ueno Y, Miyamoto N, Yamashiro K et al. Omega-3 polyunsaturated fatty acids and stroke burden. Int J Mol Sci 20 (2019).

  41. Larsson SC, Orsini N, Wolk A. Long-chain omega-3 polyunsaturated fatty acids and risk of stroke: a meta-analysis. Eur J Epidemiol. 2012;27:895–901.

    Article  CAS  PubMed  Google Scholar 

  42. Lee JH, O’Keefe JH, Lavie CJ, et al. Omega-3 fatty acids: cardiovascular benefits, sources and sustainability. Nat Rev Cardiol. 2009;6:753–8.

    Article  CAS  PubMed  Google Scholar 

  43. Watanabe Y, Tatsuno I. Prevention of Cardiovascular events with Omega-3 polyunsaturated fatty acids and the mechanism involved. J Atheroscler Thromb. 2020;27:183–98.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. S. GD, and E. S, - ‘Mendelian randomization’: can genetic epidemiology contribute to understanding. - Int J Epidemiol. 2003;32(1):1–22.

  45. Little M. Mendelian randomization: methods for using genetic variants in causal estimation. J Royal Stat Soc Ser a-Statistics Soc. 2018;181:549–50.

    Article  Google Scholar 

  46. G DS. - mendelian randomization: can genetic epidemiology help redress the failures of. - Hum Genet. 2008;123(1):15–33.

    Article  Google Scholar 

  47. Liang Z, Lou Y, Li Z, et al. Causal relationship between human blood omega-3 fatty acids and the risk of epilepsy: a two-sample mendelian randomization study. Front Neurol. 2023;14:1130439.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Li J, Huang N, Zhang X, et al. Positive association between omega-3/6 polyunsaturated fatty acids and idiopathic normal pressure hydrocephalus: a mendelian randomization study. Front Genet. 2023;14:1269494.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Tomata Y, Larsson SC, Hägg S. Polyunsaturated fatty acids and risk of Alzheimer’s disease: a mendelian randomization study. Eur J Nutr. 2020;59:1763–6.

    Article  CAS  PubMed  Google Scholar 

  50. Zhu X, Huang S, Kang W, et al. Associations between polyunsaturated fatty acid concentrations and Parkinson’s disease: a two-sample mendelian randomization study. Front Aging Neurosci. 2023;15:1123239.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Patel JV, Tracey I, Hughes EA, Lip GY. Omega-3 polyunsaturated acids and cardiovascular disease: notable ethnic differences or unfulfilled promise? J Thromb Haemost. 2010;8:2095–104.

    Article  CAS  PubMed  Google Scholar 

  52. Surendran P, Feofanova EV, Lahrouchi N, et al. Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals. Nat Genet. 2020;52:1314–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Sanderson E. Multivariable mendelian randomization and mediation. Cold Spring Harb Perspect Med 11 (2021).

  54. Sanderson E, Davey Smith G, Windmeijer F, et al. An examination of multivariable mendelian randomization in the single-sample and two-sample summary data settings. Int J Epidemiol. 2019;48:713–27.

    Article  PubMed  Google Scholar 

  55. Richmond RC, Sanderson E. Mendelian randomization: methods for causal inference using genetic variants. Int J Epidemiol. 2022;51:2031–4.

    Article  Google Scholar 

  56. Zou XL, Wang S, Wang LY, et al. Childhood obesity and risk of stroke: a mendelian randomisation analysis. Front Genet. 2021;12:727475.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Burgess S, Thompson SG, Collaboration CCG. Avoiding bias from weak instruments in mendelian randomization studies. Int J Epidemiol. 2011;40:755–64.

    Article  PubMed  Google Scholar 

  58. Lin Z, Deng Y, Pan W. Combining the strengths of inverse-variance weighting and Egger regression in mendelian randomization using a mixture of regressions model. PLoS Genet. 2021;17:e1009922.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. JMB R, Id O. - extending the MR-Egger method for multivariable mendelian randomization to. - Stat Med. 2017;36(29):4705–18.

    Article  Google Scholar 

  60. Burgess S, Thompson SG. Interpreting findings from mendelian randomization using the MR-Egger method. Eur J Epidemiol. 2017;32:377–89.

    Article  PubMed  PubMed Central  Google Scholar 

  61. JF C. - Cochran’s Q test was useful to assess heterogeneity in likelihood ratios in. - J Clin Epidemiol. 2015;68(3):299–306.

    Article  Google Scholar 

  62. Zhang X, Ritonja JA, Zhou N, et al. Omega-3 polyunsaturated fatty acids intake and blood pressure: a dose-response Meta-analysis of Randomized controlled trials. J Am Heart Assoc. 2022;11:e025071.

    Article  PubMed  PubMed Central  Google Scholar 

  63. McVeigh GE, Brennan GM, Cohn JN, et al. Fish oil improves arterial compliance in non-insulin-dependent diabetes mellitus. Arterioscler Thromb. 1994;14:1425–9.

    Article  CAS  PubMed  Google Scholar 

  64. Mozaffarian D, Wu JH. Omega-3 fatty acids and cardiovascular disease: effects on risk factors, molecular pathways, and clinical events. J Am Coll Cardiol. 2011;58:2047–67.

    Article  CAS  PubMed  Google Scholar 

  65. Fritsche KL. Too much linoleic acid promotes inflammation-doesn’t it? Prostaglandins Leukot Essent Fat Acids. 2008;79:173–5.

    Article  CAS  Google Scholar 

  66. Cupino A, Fraser G, Knutsen S, et al. Are total omega-3 and omega-6 polyunsaturated fatty acids predictors of fatal stroke in the Adventist Health Study 2 prospective cohort? PLoS ONE. 2022;17:e0274109.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Harris WS. The Omega-6:Omega-3 ratio: a critical appraisal and possible successor. Prostaglandins Leukot Essent Fat Acids. 2018;132:34–40.

    Article  CAS  Google Scholar 

  68. Adili R, Hawley M, Holinstat M. Regulation of platelet function and thrombosis by omega-3 and omega-6 polyunsaturated fatty acids. Prostaglandins Other Lipid Mediat. 2018;139:10–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Harris WS, Tintle NL, Etherton MR et al. Erythrocyte long-chain omega-3 fatty acid levels are inversely associated with mortality and with incident cardiovascular disease: The Framingham Heart Study. J Clin Lipidol 12 (2018) 718–727 e6.

  70. Zhang W, Wang H, Zhang H, et al. Dietary supplementation with omega-3 polyunsaturated fatty acids robustly promotes neurovascular restorative dynamics and improves neurological functions after stroke. Exp Neurol. 2015;272:170–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  71. Lee JW, Kim Y, Hyun T et al. Beneficial effects of a specially designed Home Meal replacement on cardiometabolic parameters in individuals with obesity: preliminary results of a Randomized Controlled Clinical Trial. Nutrients 13 (2021).

  72. AD P, PJ P, PM K, et al. - Omega-3 fatty acids ameliorate vascular inflammation: a rationale for their. - Atherosclerosis. 2021;324:27–37.

    Article  Google Scholar 

  73. Calder PC. Fatty acids and inflammation: the cutting edge between food and pharma. Eur J Pharmacol. 2011;668:S50–8.

    Article  CAS  PubMed  Google Scholar 

  74. Shibabaw T. Omega-3 polyunsaturated fatty acids: anti-inflammatory and anti-hypertriglyceridemia mechanisms in cardiovascular disease. Mol Cell Biochem. 2021;476:993–1003.

    Article  CAS  PubMed  Google Scholar 

  75. Agita A, Alsagaff MT. Inflammation, immunity, and hypertension. Acta Med Indones. 2017;49:158–65.

    PubMed  Google Scholar 

  76. Mirhafez SR, Mohebati M, Feiz Disfani M, et al. An imbalance in serum concentrations of inflammatory and anti-inflammatory cytokines in hypertension. J Am Soc Hypertens. 2014;8:614–23.

    Article  CAS  PubMed  Google Scholar 

  77. Y WYZ. - ferroptosis signaling and regulators in atherosclerosis. - Front Cell Dev Biol. 2021;9:809457.

    Article  Google Scholar 

  78. Li J, Xu L. Y.X, Potential intervention target of atherosclerosis: ferroptosis (review). Mol Med Rep 26 (2022).

  79. Bernasconi AA, Wiest MM, Lavie CJ, et al. Effect of Omega-3 Dosage on Cardiovascular outcomes: an updated Meta-analysis and Meta-regression of interventional trials. Mayo Clin Proc. 2021;96:304–13.

    Article  CAS  PubMed  Google Scholar 

  80. Tenenbaum A, Fisman EZ. Omega-3 polyunsaturated fatty acids supplementation in patients with diabetes and cardiovascular disease risk: does dose really matter? Cardiovasc Diabetol. 2018;17:119.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Larsson SC, Virtamo J, Wolk A. Dietary fats and dietary cholesterol and risk of stroke in women. Atherosclerosis. 2012;221:282–6.

    Article  CAS  PubMed  Google Scholar 

  82. de Lorgeril M, Salen P. New insights into the health effects of dietary saturated and omega-6 and omega-3 polyunsaturated fatty acids. BMC Med. 2012;10:50.

    Article  PubMed  PubMed Central  Google Scholar 

  83. von Schacky C. The role of omega-3 fatty acids in cardiovascular disease. Curr Atheroscler Rep. 2003;5:139–45.

    Article  Google Scholar 

Download references

Acknowledgements

We express our gratitude to the UK Biobank, and all researchers involved for sharing GWAS statistical data on fatty acids, blood pressure, and ischemic stroke.

Funding

This work was supported by Natural Science Foundation of Sichuan Province (NO.2023NSFSC1811).

Author information

Authors and Affiliations

Authors

Contributions

Chongcheng Xi designed the research plan and was responsible for drafting and revising the manuscript. Jie Zhang and HaiHui Liu assisted in analyzing the data and revising the manuscript. Sian Tao was responsible for organizing all the figures and tables. Ying Xie and Jibin Liu handled revisions related to English grammar and technical terminology. Changqing Tong and Dong Tian were responsible for checking the related data.Xiaobo Zhang and Hua Ye supervised the entire process. All authors have reviewed and consented to the final version of the manuscript.

Corresponding authors

Correspondence to Hua Ye or Xiaobo Zhang.

Ethics declarations

Compliance with ethics Statement

This study did not involve humans directly and the previous studies that utilized the GWAS data used in this study have already obtained ethical approval and patient consent. Therefore, this study does not require additional ethical approval.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xi, C., Zhang, J., Liu, H. et al. Can Omega-3 prevent the accidence of stroke: a mendelian randomization study. Hereditas 161, 30 (2024). https://doi.org/10.1186/s41065-024-00329-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s41065-024-00329-9

Keywords