This study analyzed adult population data from the NHANES database for five cycles between 2009 and 2018 in order to explore the association between non-HDL cholesterol to HDL cholesterol ratio (NHHR) levels and adult-onset asthma prevalence. The findings of this research indicated that NHHR was negatively correlated with the prevalence of asthma. Additionally, total cholesterol (TC) levels were significantly lower in the asthmatic group compared to the non-asthma control group (p < 0.001). Conversely, no significant difference was discerned in the concentrations of high-density lipoprotein cholesterol (HDL-C) between the two groups (p = 0.972), suggesting that NHHR might be a more specific indicator.
In contrast to most previous studies that have mainly focused on the correlation between a single lipid component and asthma, the present study is the first to correlate the NHHR, a composite lipid marker, with the prevalence of asthma. The results of this investigation are consistent with some of the findings in previous literature. Michael et al. analyzed serum cholesterol measurements from 7,005 participants in the 2005–2006 National Health and Nutrition Examination Survey. They found that serum TC and non-HDL-C levels were negatively correlated with the prevalence of asthma, whereas HDL-C levels were not significantly correlated with asthma12.
Abnormalities in lipid metabolism are common among asthmatics and are associated with the onset and progression of asthma30, 31. Wang et al. analyzed plasma samples from 20 healthy controls and 24 asthma patients. Differences in glycerophosphatidylcholine (gp) metabolites were found between asthmatics and healthy individuals32. There is a close relationship between the glycerophosphate metabolic pathway and the transport and metabolism of HDL-C. The phospholipids in HDL particles are mainly derived from the metabolic process of glycerophospholipids. Abnormal glycerophospholipid metabolism may affect the stability and function of HDL33, which in turn affects asthma. Despite some studies speculating that there is a potential negative effect of HDL on ILC2-mediated inflammatory responses34, Yao et al. employed the enzyme-linked immunosorbent assay (ELISA) technique to quantify the levels of serum amyloid A (SAA) in both asthmatic patients and non-asthmatic subjects. Their findings revealed that when HDL-C binds to SAA, it transforms into dysfunctional granules that exhibit proinflammatory properties. Cytokines such as IL-6, TNF-α, and IL-1b secreted by monocytes were stimulated by FPR2/ATP/P2X7R axis35.
Besides HDL-C, NHDL (non-HDL cholesterol) is also a crucial factor influencing NHHR values, as it provides a comprehensive reflection of various lipid parameters including low-density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol (VLDL-C), and apolipoprotein A (ApoA). Cellular and animal model evidence suggests that LDL, the predominant lipoprotein component of NHDL, may contribute to reduced asthma risk. LDL is efficiently absorbed in the lungs and subsequently induces a series of functional responses in lung-resident cells36. In this process, LDL exhibits an inhibitory effect on TGF-β37, a central mediator in asthma pathology, thereby indirectly modulating asthma-related reactions. Furthermore, a study conducted by Schulman et al. has shown that LDL can suppress human lung mast cells' ability to release histamine and diminish its biological effects38. Moreover, several studies have illuminated the defensive functions of apoA-I and apoE in asthma. To harness their therapeutic benefits, an array of apoA-I mimetic peptides have been devised and scrutinized for their ability to mitigate respiratory ailments, demonstrating anti-inflammatory and antioxidant effects39.
However, some results of previous studies on blood lipid levels are inconsistent with our results. Liu et al. conducted a bidirectional two-sample Mendelian randomization study based on data from 24,853 Asian individuals, with an average age of 48.8 years. A causal relationship was found between elevated LDL and TC levels, decreased HDL levels and increased risk of asthma40. One of the primary reasons for such differences could be the distinct characteristics of the study populations. Stanesby et al.41 quantified the tracking of blood lipid levels from childhood, adolescence to adulthood, revealing that the tracking coefficients for LDL-C, TC, HDL-C, and triglycerides (TG) varied across different age groups. By analyzing the plasma lipid metabolic profiles of asthmatic children and adults, it was shown that adult asthmatics exhibited a greater diversity of differentially expressed lipid molecules, suggesting that adult-onset asthma may be more reliant on alterations in lipid metabolism31.
Meanwhile, a prospective cohort study involving 477 consecutive asthmatics, highlighted that the existence of various asthma phenotypes could be another contributing factor to the disparities in the results observed. The results showed that non-allergic phenotypes were associated with elevated TC levels, the obesity-related asthmatic type was associated with high TG, and the severe asthmatic type was associated with high LDL-C42.
Subgroup analysis and interaction tests revealed that gender modified the relationship between NHHR levels and asthma prevalence. Specifically, the inverse association between NHHR levels and asthma prevalence was more pronounced among men, whereas in women, a U-shaped association emerged with an inflection point at 3.77. It is indicated that both extremely high and low NHHR values may elevate asthma risk in females. This U-shaped relationship may be linked to hormonal fluctuations and the relevant changes in immune responses unique to women. Studies have found that variations in estrogen levels are associated with exacerbations of asthma symptoms during menstruation, pregnancy, and menopause43. Cholesterol levels influence airway smooth muscle contractility through estrogen44. Progesterone, estrogen, and their metabolites, after binding to human tissue protein, may act as antigens and promote Type 2 helper cell development, which in turn regulates antibody synthesis and allergies45. Clinical observations have shown that the incidence of asthma among males after puberty is notably lower than that in females, coinciding with the rise in male testosterone levels46. Testosterone has been demonstrated to possess immunoregulatory functions, modulating calcium and potassium channel activity which would reduce excessive smooth muscle contraction47, and inhibiting Th1 cell activation48. These phenomena suggest that changes in sex hormone levels may impact lipid metabolism and immune responses, ultimately leading to distinct biological effects and asthma prevalence associated with NHHR values between males and females.
Strength
This study has demonstrated several strengths, the first being the large sample size, which is nationally representative. At the data processing level, we implemented a correction measure to ensure the rationality of data distribution, aiming at the skewed distribution characteristics of NHHR values. Facing the problem of missing covariate data, we applied the multiple imputation method. This strategy enhances the precision and validity of the estimation and enables the statistical inference to capture the real variability and uncertainty in the data more accurately. In addition, by employing a weighted model that focused on the oversampling of minorities, we further enhanced the reliability of our findings.
Limitations
Despite the positive developments of the study on several fronts, we are also aware of its limitations. The data related to asthma in the NHANES database were mainly obtained through questionnaires. Although we considered medication histories and pulmonary function test results, there were still subjective factors interfering, which might have led to the strength of the associations between the two being underestimated. Of particular significance, this study was based on a cross-sectional design, which only suggested that NHHR values are correlated with asthma prevalence and did not allow for causal inferences.