Asthma is one of the most common chronic diseases in the world, with a mortality rate of (1.6–36.7)/100,000, making it a major health problem worldwide (1). It is characterized by varying degrees of airflow obstruction, which can cause dyspnea and wheezing, and asthma management consists of assessment of asthma control and risk factors and the appropriately adjusted medication cycle (2). Globally, asthma ranks 16th among the leading causes of years lived with disability and 28th among the leading causes of disease burden, as measured by disability-adjusted life years (3). According to the 2019 Global Burden of Disease (GBD) Asthma Study, the global disability-adjusted life years (DALYs) of asthma were 9.9% and 8.8% respectively, and approximately 81 million children worldwide suffer from asthma (4). By 2025, an additional 100 million people may be affected (5). Asthma represents a significant disease burden globally, driving the need for prevention and treatment. Although the etiology of asthma remains largely unknown, it suggests that genetic background, environmental factors, and their interactions play a crucial role in the development of asthma.

Asthma is a complex inflammatory disease of the airways with multiple pathophysiological features. Type 2 (T2) inflammation is an important immune response in the pathobiology of asthma, leading to the classification of asthma into T2-high and T2-low (6), eosinophils are the most important inflammatory cells in T2 high asthma (7), and they are key effector cells that contribute to the pathogenesis of asthma by inducing type 2 inflammation, the primary asthma trigger (8, 9). Many studies have shown a correlation between elevated blood eosinophil levels and acute asthma exacerbations and asthma severity (10). There are many documents showing that the probability of anemia in patients with asthma is significantly increased (11–13). Iron is one of the important trace elements that is essential for many biological processes, including the regulation of enzyme activity, oxygen transport, and immune function (14, 15), anemia affects a decrease in the strength of the respiratory muscles, including the diaphragm, and reduces lung function (16), which may be a mechanism affecting asthma. Dietary iron supplementation has been reported to reduce airway eosinophilia in animal models to reduce the severity of allergic asthma (17). But research results on the relationship between IDA and asthma are inconclusive.

Anemia is a common disease that may have a significant impact on health and represents a heavy global burden. Developing countries account for 89% of all anemia-related disabilities (18), and IDA remains the main cause of anemia. Genotype is defined at the time of pregnancy and is often not associated with traditional confounders in observational studies (19).

MR is a data analysis technique for assessing the inference of etiology in epidemiological studies. It uses genetic variation as an instrumental variable (IV) in non-experimental data to estimate the causal relationship between the exposure factor of interest and outcome of concern (20, 21), where exposure factor refers to a putative causal risk factor, also known as intermediate phenotypes, which can be biological, anthropometric, or any risk factor that may influence resolution. Diseases are generally listed as an outcomes, but are not limited to a specific disease. Non-experimental data cover all observational studies, including cross-sectional studies, longitudinal series, cohort studies, and case-control studies. MR involves the use of genetic markers associated with exposure SNPs to test the causal relationship between exposure and outcome (22). This design is less likely to be confounded or influenced by reverse causality due to the random distribution of alleles during gamete formation. MR can effectively reduce the impact of confounding factors that may affect exposure and outcome phenotypes. With the booming development of publicly available large sample size genome-wide association studies (GWAS) data, higher statistical power can be obtained more effectively. Previously, MR analysis has been used to explore the causal relationship between anemia and many diseases, such as cardiovascular disease (23), chronic obstructive pulmonary disease (24), and depression (25). But it has not yet been applied to study its impact on asthma. Therefore, we performed a two-sample MR analysis to test whether genetically determined IDA is causally related to the development of asthma.

While various studies have been conducted to explore the association between IDA and asthma, this study is the first MR analysis to assess the causal relationship between IDA and susceptibility to asthma. Using the IVW approach, our results suggest that genetically predicted IDA is causally linked to an increased risk of asthma, suggesting that IDA may be a potential factor in the development of asthma.

Our findings are consistent with a large number of observational studies from different countries that report on the relationship between anemia and asthma (13, 30–32). However, some observational studies have reported that asthma increases the risk of anemia (11, 30, 33), but we believe that the causal relationship we found may be more reliable than the results of observational studies because MR analysis is less susceptible to confounding or effects of reverse causation. Our analysis of different analytical methods provides strong support for the assessment of IDA as a cause of asthma.

Asthma is a common allergic disease caused by immune system disorders, which is characterized by chronic inflammation, airway hyperresponsiveness and periodic airflow obstruction. Anemia and asthma are both high-prevalence diseases in children (9), which have a negative impact on children's growth, comorbidities, and health-related quality of life (12). IDA can cause many deleterious effects on humans, such as pregnancy, fetal development, and child growth (34), and is also associated with the risk of many diseases (35, 36). For example, previous studies have shown that IDA is associated with an increased risk of autism, Parkinson's disease, and cancer (29, 37–39). Anemia or low iron levels during pregnancy are associated with an increased risk of asthma in the offspring (40–42). In US women, higher iron stores are negatively associated with asthma (43).

Numerous studies have shown that IDA is a common phenomenon in asthma (11–13). Previous studies have shown that immune dysfunction also plays a crucial role in the development and of asthma (44). As a chronic airway disease, asthma has long been considered predominantly an inflammatory disease. Iron is an important trace element that plays a key role in various biological processes such as the regulation of enzyme activity, oxygen transport, and immune functions, and may affect the development of asthma. Iron deficiency can adversely affect the immune response, and low hemoglobin can impair tissue oxygenation and serve as an independent risk factor for LRTI in children (45).

Immune activation or inflammation in patients with asthma is associated with iron deficiency. Macrophages are present in all tissues and their function is to support and restore tissue homeostasis, in addition to serving as a sensor for iron requirements in tissues and for the supply of iron as an essential trace element (46). These iron-treatment characteristics determine anti- and inflammatory states (47). Several studies have found an association between iron deficiency and atopic disease. Shaheen's study reported that the direct link between asthma and iron deficiency is obvious (42). In animal models, iron administration suppresses airway hyperresponsiveness and eosinophilia, suggesting that higher iron status may be protective in asthma (48). A low-iron diet causes overt asthma in a mouse model of allergic asthma, which is mediated by increased mast cell reactivity in a low-iron environment. Clinical and experimental evidence suggests that alterations in the levels of systemic and pulmonary iron and/or iron regulatory molecules are associated with lung inflammation in many diseases, including asthma (49). Caffarelli's research showed that obese children had higher rates of asthma, higher hepcidin levels and lower iron levels. Animal experiments have shown that iron is related to fetal airway development (50). Ramakrishnan et al., through a prospective (cohort) study, found that anemic children were 5.75 times more likely to have an asthma attack than non-anemic children (16). Hemoglobin facilitates the transport of oxygen and carbon dioxide. It carries and inactivates nitric oxide (NO) and also acts as a buffer. Hemoglobin in the blood is primarily responsible for stabilizing oxygen tension in tissues, and qualitative and/or quantitative reductions in Hb may adversely affect normal function.

In epidemiological studies, the possible impact of IDA on the development of asthma has been extensively investigated, but few of them provide strong evidence of a causal relationship. Our findings provide evidence that IDA is associated with asthma, This may mean that active iron supplementation in children with IDA may reduce the occurrence of asthma, and improving anemia may be effective for asthma patients in clinical practice. However, the diagnosis of anemia in asthma patients is easily ignored in clinical practice. Therefore, we recommend active clinical monitoring of anemia in children with asthma.

There are several clear advantages in our study. No pleiotropy were found in the MRPRESSO test and MREgger Intercept test, suggesting the good reliability of our results. Also, after deleting outliers, the result were still significant. Furthermore, the causal estimates obtained from all methods are positively related, providing a robust result to our research.

Because of several limitations of this study, our findings should be interpreted with caution. MR performed sensitivity analyzes to prevent selection bias against genetic variants with pleiotropic effects on the results. First, all the genetic data used in this study were from Europeans, and it remains to be further confirmed whether the causal relationship between IDA and asthma observed in this study is also common in other ethnic groups. Second, the data are only from the FinnGen Consortium and are not all GWAS data for children, so there are limitations regarding the impact of IDA on the increased risk of asthma in children. Third, we cannot rule out that our analyzes were confounded by mediation effects. These should be considered in future work.

The results of our MR study suggest that genetically predicted IDA may be causally associated with an increased risk of asthma. Our findings alert clinicians that more attention should be paid to iron status in children with a family history of asthma. Elucidating the underlying mechanisms by which IDA contributes to asthma susceptibility is critical to guide the prevention and treatment of asthma, and further research should identify the molecular and pathways through which IDA can initiate asthma.