Association Between Atopic Dermatitis, Asthma, and Serum Lipids: A UK Biobank Based Observational Study and Mendelian Randomization Analysis

New insights into causal relationship between serum lipids, obesity, and asthma: a Mendelian randomization study

OBJECTIVE

To identify causal risk factors for asthma using a Mendelian randomization (MR) approach.

METHODS

Genetic variants associated with the exposures at the genome-wide significance level (p < 5 × 10 - 8) were obtained from corresponding genome-wide association studies. Summary-level statistical data for asthma were obtained from the UK Biobank (UKB) and the FinnGen Consortia. Univariate and multivariate MR analyses were performed to clarify causal relationships among obesity, serum lipids, and asthma. Meta-analyses were performed to combine UKB and FinnGen results using a fixed-effects model.

RESULTS

In FinnGen, the odds for asthma increased for every 1-SD increase in body mass index (BMI; odds ratio [OR] 1.292, p = 1.34 × 10-7), together with body fat percentage (BF%; OR 1.449, p = 4.90×10-3), and total cholesterol level (OR = 0.949, p = 0.027). However, higher BMI and BF% were found to increase the risk for asthma in the multivariate MR analysis. In the UKB, the BMI results were replicated. Meta-analysis revealed that high-density lipoprotein cholesterol could also increase the risk for asthma, although there were no associations with other risk factors included in this study.

CONCLUSION

This MR study found that genetically predicted higher BF% and BMI could increase the risk for asthma and corroborated some risk factors for asthma from previous MR studies. Moreover, the results suggest that higher BMI and BF% could serve as independent risk factors for asthma.

Impact of atopic dermatitis on renal dysfunction: insights from patient data and animal models

Introduction

Atopic dermatitis (AD) is a chronic inflammatory skin disease characterized by pruritus, immune dysregulation, and compromised skin barrier function. Although there are some reports that indicate a link between AD and chronic kidney disease (CKD), the prevalence and underlying mechanism of the association between AD and CKD are still unclear. We aimed to clarify the mechanism underlying the association between AD and CKD using an AD-like mouse model.

Methods

Human serum and urine samples from adults in the U.S. were analyzed using data from the National Health and Nutrition Examination Survey (NHANES). An AD-like mouse model was established by repeatedly applying 2,4-dinitrochlorobenzene to the backs and ears of the mice. Kidney inflammation and podocyte function were evaluated via PAS and H&E staining, immunofluorescence staining, and electron microscopy.

Results

We found that compared to healthy subjects in the NHANES cohort study, patients with AD had altered kidney function. AD-like model mice exhibited albuminuria and renal dysfunction one to three months after the induction of AD. In addition, there were remarkable decreases in triglyceride and very-low-density lipoprotein levels and increases in low-density lipoprotein and non-high-density lipoprotein levels in AD-like model mice. After histological staining of the kidneys of AD-like model mice, macrophage and neutrophil infiltration was detected, and the foot process effacement of podocytes was observed via electron microscopy. In addition, the gene expression of slit diaphragm- and podocyte-related proteins such as nephrin, podocin, and synaptopodin decreased, whereas the gene expression of inflammatory mediators such as S100A8 and S100A9 increased.

Discussion

Following improvements in skin inflammation, alleviation of albuminuria, renal dysfunction and dyslipidemia were observed. These findings suggest that AD-related cutaneous inflammation is associated with albuminuria and podocyte dysfunction.

The Causal Relationship Between Circulating Metabolites and the Risk of Atopic Dermatitis: A Two-Sample Mendelian Randomization Study

Background

Previous research has shown that metabolites (especially lipid-related metabolites) have a significant influence in the development of atopic dermatitis (AD). However, there is no evidence of a causal connection between metabolites and AD risk. The specific mechanisms require further elucidation. Our study employed a two-sample Mendelian randomization (TSMR) strategy to investigate how metabolite traits affect AD.

Methods

Utilizing publicly accessible GWAS data, we conducted TSMR studies to investigate the relationship between 233 metabolites traits (213 lipid-related traits and 20 no lipid-related traits) and AD. Our TSMR study primarily employed the Inverse-variance weighted method and four ancillary methods to analyze causation. Sensitivity analysis was performed to guarantee the TSMR results were trustworthy. Reverse MR analysis was used for investigating reverse causality.

Results

After analyzing GWAS datasets for metabolites and AD, 13 metabolites were identified as positive. The MR analysis result indicates that total cholesterol in very small VLDL, cholesterol esters in very small VLDL, free cholesterol in IDL, concentration of medium LDL particles, concentration of large LDL particle, concentration of chylomicrons and extremely large VLDL particles, triglyceride levels in chylomicrons and extremely large VLDL, total lipid levels in chylomicrons and extremely large VLD, phospholipid levels in chylomicrons and extremely large VLDL, phospholipids in medium LDL, phospholipids in large LDL, phospholipids in small LDL, ratio of 18:2 linoleic acid to total fatty acids exhibited negative effects on AD. Reverse MR result analysis found that ratio of 18:2 linoleic acid to total fatty acids in serum was decreased in patients with AD. Sensitivity analyses ensure the stability of our results.

Conclusion

These findings highlight a definite correlation between metabolite and AD, demonstrating the significant role of 13 lipid-related metabolite traits. Our results significantly reduced the influence of unavoidable confounders and reverse causality. Our findings may set the framework for prospective therapeutic approaches and call for further investigation to validate them.

Association between monocyte-high-density lipoprotein cholesterol ratio and mortality in a population with asthma: a cohort study

BACKGROUND

The monocyte-high-density lipoprotein cholesterol ratio (MHR) serves as an integrated indicator of the pro-inflammatory role of monocytes and anti-inflammatory properties of high-density lipoprotein cholesterol (HDL-C). Research has shown that the MHR is associated with the onset and prognosis of some diseases. However, no study has examined the link between the MHR and prognosis of populations with asthma.

METHODS

This study included data from 2,023 participants with asthma from the National Health and Nutrition Examination Survey (NHANES). This survey applied various statistical models, such as Cox proportional hazards, restricted cubic spline (RCS), threshold effects analysis (TEA), Kaplan-Meier survival analysis, and survival area plots, to assess the correlation between the MHR and mortality in participants with asthma.

RESULTS

According to the Cox hazard models, the MHR and mortality were positively correlated (hazard ratio: 1.93, 95% confidence interval: 1.20-3.11). Additionally, the RCS and TEA demonstrated a positive and linear relationship between the MHR and mortality. Participants with asthma who had a decreased MHR had better survival, compared with those who had an elevated MHR, as per the Kaplan-Meier survival analysis and survival area plots.

CONCLUSIONS

This longitudinal investigation indicated that an increased MHR was associated with elevated mortality in individuals with asthma. Therefore, the MHR may serve as an independent biomarker for predicting the prognosis of individuals with asthma.

Causal effects of circulating lipids and lipid-lowering drugs on the risk of atopic dermatitis: a mendelian randomization study

Lipid metabolism disorders are frequently noted in atopic dermatitis (AD) patients, prompting the long-term use of lipid-lowering drugs. However, the causal effects of circulating lipids and different lipid-lowering drugs on the risk of AD are not thoroughly understood. Using publicly available genome-wide association studies (GWAS) summary data from two different cohorts, a series of Mendelian randomization (MR) analyses were conducted to explore the causal effects of genetically proxied circulating lipids and lipid-lowering drugs on the risk of AD. Statistically, the random-effects inverse-variance-weighted (IVW) model was used as main analysis and several methods were conducted for sensitivity analysis to test the robustness of our results. Our findings revealed reduced risks of AD related to genetically proxied subtilisin/kexin type 9 (PCSK9) inhibition and lipoprotein lipase (LPL) agonist, while an increased AD risk associated with Niemann-Pick C1-like 1 (NPC1L1) inhibition. Circulating lipids and other drug targets did not show significant associations with AD risk. These results were replicated in the validation cohort; sensitivity analyses confirmed the robustness. This MR study suggests that, independent of circulating lipids, the use of PCSK9 inhibitors and LPL agonists may be associated with a decreased risk of AD, while inhibition of NPC1L1 is implicated in an increased risk. These findings may help optimize personalized selection of lipid-lowering drugs for AD patients and those at risk of AD.

The impact of lipidome on five inflammatory skin diseases: a Mendelian randomization study

OBJECTIVE

Two-sample Mendelian randomization (TSMR) was employed to examine the association between lipidome and five inflammatory skin diseases.

METHOD

To evaluate the association between various molecular subtypes of lipidome and the risk of five inflammatory skin diseases, we analyzed a comprehensive GWAS dataset comprising 179 lipidome. The Two-Sample Mendelian Randomization (TSMR) method was employed to investigate causal relationships. Heterogeneity and pleiotropy were assessed using Cochran's Q test, MR-Egger intercept test, and MR-PRESSO global test. Additionally, a sensitivity analysis was conducted to evaluate the influence of individual single nucleotide polymorphisms on Mendelian Randomization study.

RESULTS

Using 179 serum lipidome as exposures and five common inflammatory skin diseases as outcomes, we investigated their associations in this large-scale study. Our findings reveal significant impacts of glycerophospholipids, glycerolipids, and sphingomyelins on inflammatory skin diseases. Glycerophospholipids were protective against pemphigus but predominantly posed risks for other inflammatory skin diseases. Specifically, phosphatidylcholine (16:0_0:0) exhibited the most significant risk association with lichen planus (OR = 1.25, 95% CI 1.11-1.40, P < 0.001). Conversely, glycerolipids showed no effect on lichen planus but were protective against pemphigus while potentially posing risks for other conditions. Triacylglycerol (46:2) showed the most substantial risk association with vitiligo (OR = 1.99, 95% CI 1.35-2.93, P < 0.001). Furthermore, sphingomyelins had no effect on atopic dermatitis but posed potential risks for other inflammatory skin diseases. Sphingomyelin (d40:1) notably emerged as a significant risk factor for pemphigus (OR = 1.91, 95% CI 1.37-2.66, P < 0.001).

CONCLUSIONS

This study has elucidated the potential harmful effects of glycerophospholipids, glycerolipids, and sphingomyelins on inflammatory skin diseases, while also providing valuable insights for future research into the pathophysiology, prevention and treatment of these conditions.

Sodium Intake and Atopic Dermatitis

Importance

The association of diet with atopic dermatitis (AD) remains poorly understood and could help explain heterogeneity in disease course.

Objective

To determine the extent to which a higher level of dietary sodium intake, estimated using urine sodium as a biomarker, is associated with AD in a large, population-based cohort.

Design, Setting, and Participants

This cross-sectional study of adult participants (aged 37-73 years) from the UK Biobank examined 24-hour urine sodium excretion, which was estimated using a single spot urine sample collected between March 31, 2006, and October 1, 2010, and calculations from the sex-specific International Cooperative Study on Salt, Other Factors, and Blood Pressure equation, incorporating body mass index; age; and urine concentrations of potassium, sodium, and creatinine. The data were analyzed between February 23, 2022, and March 20, 2024.

Exposure

The primary exposure was 24-hour urinary sodium excretion.

Main Outcome and Measure

The primary outcome was AD or active AD based on diagnostic and prescription codes from linked electronic medical records. Multivariable logistic regression models adjusted for age, sex, race and ethnicity, Townsend Deprivation Index, and education were used to measure the association.

Results

The analytic sample comprised 215 832 participants (mean [SD] age, 56.52 [8.06] years; 54.3% female). Mean (SD) estimated 24-hour urine sodium excretion was 3.01 (0.82) g per day, and 10 839 participants (5.0%) had a diagnosis of AD. Multivariable logistic regression revealed that a 1-g increase in estimated 24-hour urine sodium excretion was associated with increased odds of AD (adjusted odds ratio [AOR], 1.11; 95% CI, 1.07-1.14), increased odds of active AD (AOR, 1.16; 95% CI, 1.05-1.28), and increased odds of increasing severity of AD (AOR, 1.11; 95% CI, 1.07-1.15). In a validation cohort of 13 014 participants from the National Health and Nutrition Examination Survey, a 1 g per day higher dietary sodium intake estimated using dietary recall questionnaires was associated with a higher risk of current AD (AOR, 1.22; 95% CI, 1.01-1.47).

Conclusions and Relevance

These findings suggest that restriction of dietary sodium intake may be a cost-effective and low-risk intervention for AD.

Association between Serum Lipids and Asthma in Adults-A Systematic Review

(1) Background: Asthma is a syndrome found in both adults and children, characterized by airflow obstruction caused by the inflammation of the airways. In recent years, an increasing number of studies have found that lipid metabolism influences both the development and symptomatology of asthma. Lipid metabolism plays an important role both in the occurrence of exacerbations and in the reduction of lung inflammation. Our study aimed to identify any type of association between patients diagnosed with asthma and their serum lipids, including HDL-cholesterol, LDL-cholesterol, total cholesterol, and triglycerides in adults. (2) Methods: To find articles for our review, we searched two platforms: PubMed and Google Scholar. A total of 309 articles from two platforms were analyzed. Finally, 12 papers were selected from the initial pool of identified articles. (3) Results: The positive correlation between triglycerides, total cholesterol, low-density lipoprotein-cholesterol (LDL-cholesterol), and asthma has been demonstrated in several studies. Moreover, it appears that there is an association between biomarkers of type 2 inflammation and HDL and serum triglycerides in people with atopic status. Regarding the nutrition of asthmatic patients, the greatest impact on the development of the disease seems to be the consumption of fruit and vegetables. Several studies show that a predominantly vegan diet is associated with better control of the disease and a decrease in the number of pro-inflammatory cytokines. (4) Conclusions: Studies show a positive correlation between total cholesterol, triglyceride, and LDL-cholesterol levels and asthma and a negative correlation between HDL-cholesterol and asthma. Increased cholesterol values would lead to the stimulation of pro-inflammatory processes and the secretion of cytokines involved in these processes. The most successful diets for asthma patients seem to be those in which the consumption of fruit, vegetables, and high-fiber foods is increased because all of these food groups are rich in vitamins, antioxidants, and minerals.

Association between serum lipid and all-cause mortality in asthmatic populations: a cohort study

BACKGROUND

Presently, the majority of investigations primarily evaluate the association between lipid profiles and asthma. However, few investigations explore the connection between lipids and mortality related to the disease. This study aims to explore the association of serum lipids with all-cause mortality within asthmatic adults.

METHODS

The investigation included 3233 eligible patients with asthma from the NHANES (2011-2018). The potential associations were explored using three Cox proportional hazards models, restricted cubic splines (RCS), threshold effect models, and CoxBoost models. In addition, subgroup analyses were conducted to investigate these associations within distinct populations.

RESULTS

After controlling all covariables, the Cox proportional hazards model proved a 17% decrease in the probability of death for each increased unit of low-density lipoprotein-cholesterol (LDL-C) (mmol/L). Yet, there was no association seen between blood high-density lipoprotein cholesterol (HDL-C), total cholesterol, or triglyceride and all-cause mortality in asthmatics. The application of RCS and threshold effect models verified an inverse and linear association of LDL-C with all-cause mortality. According to the results from the CoxBoost model, LDL-C exhibited the most substantial impact on the follow-up status of asthmatics among the serum lipids.

CONCLUSION

Our investigation concluded that in American asthmatic populations, LDL-C levels were inversely and linearly correlated with mortality. However, no independent relationship was found between triglycerides, total cholesterol, or HDL-C and mortality.

Association Between Atopic Dermatitis and Aging: Clinical Observations and Underlying Mechanisms

As one of the most prevalent chronic inflammatory skin diseases, atopic dermatitis (AD) increasingly affects the aging population. Amid the ongoing global aging trend, it's essential to recognize the intricate relationship between AD and aging. This paper reviews existing knowledge, summarizing clinical observations of associations between AD and aging-related diseases in various systems, including endocrine, cardiovascular, and neurological. Additionally, it discusses major theories explaining the correlation, encompassing skin-mucosal barriers, systemic inflammation and stress, genes, signal transduction, and environmental and behavioral factors. The association between AD and aging holds significant importance, both in population and basic perspectives. While further research is warranted, this paper aims to inspire deeper exploration of inflammation/allergy-aging dynamics and the timely management of elderly patients with AD.

Mendelian Randomization Studies in Atopic Dermatitis: A Systematic Review

Prior studies have found associations between atopic dermatitis (AD) and comorbidities, including depression, obesity, asthma, and allergic rhinitis. Although observational studies often cannot establish robust causality between potential risk factors and AD, Mendelian randomization minimizes confounding when exploring causality by relying on random allelic assortment at birth. In this study, we systematically reviewed 30 Mendelian randomization studies in AD. Body mass index, gut microbial flora, the IL-18 signaling pathway, and gastroesophageal reflux disease were among the causal factors for AD, whereas AD was causal for several medical conditions, including heart failure, rheumatoid arthritis, and conjunctivitis. These insights may improve preventive counseling in AD.

The associations between asthma and common comorbidities: a comprehensive Mendelian randomization study

Background

Asthma is a chronic respiratory disease and is often associated with multiple comorbidities. The causal relationship between asthma and these comorbidities is still unclear. This study aimed to investigate the association between genetically predicted asthma and common comorbidities.

Methods

After searching PubMed and GWAS summary statistics, we identified 26 comorbidities of asthma. The causal relationship between asthma and comorbidities was assessed in two independent GWASs by bidirectional Mendelian randomization, followed by validation of the results using a multivariate Mendelian randomization analysis and several sensitivity analyses.

Results

In the bidirectional Mendelian randomization analysis, chronic sinusitis [odds ratio (OR) = 1.54, p = 1.40 × 10-5], atopic dermatitis (OR = 1.36, p = 9.37 × 10-21), allergic conjunctivitis (OR = 2.07, p = 4.32 × 10-6), and allergic rhinitis (OR = 1.53, p = 5.20 × 10-6) were significantly associated with increased asthma risk. Hyperthyroidism (OR = 1.12, p = 0.04) had a potential increased risk for asthma. For the reverse direction, asthma showed significant associations with an increased risk of chronic obstructive pulmonary disease (OR = 1.24, p = 2.25 × 10-9), chronic sinusitis (OR = 1.61, p = 5.25 × 10-21), atopic dermatitis (OR = 2.11, p = 1.24 × 10-24), allergic conjunctivitis (OR = 1.65, p = 6.66 × 10-35), allergic rhinitis (OR = 1.90, p = 2.38 × 10-57), and a potential higher risk of allergic urticaria (OR = 1.25, p = 0.003).

Conclusion

This study suggested a significant bidirectional association of chronic sinusitis, atopic dermatitis, allergic conjunctivitis, and allergic rhinitis with asthma. In addition, hyperthyroidism was associated with an increased risk of asthma and asthma increased the risk of chronic obstructive pulmonary disease and allergic urticaria.

[Relationship between atherogenic index of plasma and childhood asthma]

OBJECTIVES

To explore the relationship between atherogenic index of plasma (AIP) and childhood asthma.

METHODS

This retrospective study included 86 children with asthma admitted to the Changzhou Second People's Hospital Affiliated to Nanjing Medical University from July 2020 to August 2022 as the asthma group and 149 healthy children undergoing physical examination during the same period as the control group. Metabolic parameters including total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and blood glucose, as well as general information of the children such as height, weight, body mass index, presence of specific dermatitis, history of inhalant allergen hypersensitivity, family history of asthma, and feeding history, were collected. Multivariable logistic regression analysis was used to study the relationship between AIP, triglycerides, and high-density lipoprotein cholesterol and asthma. The value of AIP, triglycerides, and high-density lipoprotein cholesterol for predicting asthma was assessed using receiver operating characteristic (ROC) curve analysis.

RESULTS

The AIP and triglyceride levels in the asthma group were significantly higher than those in the control group, while high-density lipoprotein cholesterol was significantly lower (P<0.05). However, there was no significant difference in total cholesterol and low-density lipoprotein cholesterol between the two groups (P>0.05). Before and after adjusting for height, weight, presence of specific dermatitis, history of inhalant allergen hypersensitivity, family history of asthma, feeding method, and blood glucose, multivariable logistic regression analysis showed that AIP, triglycerides, and high-density lipoprotein cholesterol were associated with asthma (P<0.05). ROC curve analysis showed that the optimal cutoff value for predicting asthma with AIP was -0.333, with a sensitivity of 80.2%, specificity of 55.0%, positive predictive value of 50.71%, and negative predictive value of 82.85%. The area under the curve (AUC) for AIP in predicting asthma was significantly higher than that for triglycerides (P=0.009), but there was no significant difference in AUC between AIP and high-density lipoprotein cholesterol (P=0.686).

CONCLUSIONS

AIP, triglycerides, and high-density lipoprotein cholesterol are all associated with asthma. AIP has a higher value for predicting asthma than triglycerides and comparable value to high-density lipoprotein cholesterol.

Lipid Alterations and Metabolism Disturbances in Selected Inflammatory Skin Diseases

Lipidomics is a term used to define the field that analyzes the structure, functions, and interactions of lipids. Inflammatory dermatoses and lipid disturbances are interrelated, especially due to chronic inflammatory conditions. This review discusses lipidomics in selected inflammatory skin diseases: psoriasis, lichen planus, and atopic dermatitis, as well as the less commonly mentioned hidradenitis suppurativa, rosacea, and acne vulgaris. Lipid homeostasis disorders are common; they are especially well-documented in psoriasis, lichen planus, and atopic dermatitis. Future studies are required for better insight into this issue, particularly on the skin lipidome. Understanding lipidomics, in particular skin diseases, increases our knowledge about their pathogenesis, and may become useful in adjusting tailored management for each patient as well establishing prognosis. Noteworthily, it seems advisable to alert doctors to the need to analyze lipid parameters and the complications of abnormal lipid metabolism in dermatological patients, which could decrease their comorbidities and improve the life quality and health condition of dermatological patients.

A Review of Safety Outcomes from Clinical Trials of Baricitinib in Rheumatology, Dermatology and COVID-19

Baricitinib is an oral, selective inhibitor of Janus kinase (JAK)1/JAK2 that transiently and reversibly inhibits many proinflammatory cytokines. This mechanism is a key mediator in a number of chronic inflammatory diseases; accordingly, baricitinib has been studied and approved for the treatment of several rheumatological and dermatological disorders, as well as COVID-19. This narrative review summarises and discusses the safety profile of baricitinib across these diseases, with special focus on adverse events of special interest (AESI) for JAK inhibitors, using integrated safety data sets of clinical trial data, and puts findings into context with the underlying risk in the respective disease populations, using supporting literature. We show that rates of infection with baricitinib generally reflected the inherent risk of the disease populations being treated, with serious infections and herpes zoster being more frequent in rheumatic diseases than in dermatological disorders, and herpes simplex being reported particularly in atopic dermatitis. Similarly, rates of major adverse cardiovascular events (MACE), venous thromboembolism (VTE) and malignancies were generally within or below the ranges reported for the respective disease populations, thereby reflecting the underlying risk; these events were therefore more frequent in patients with rheumatic diseases than in those with dermatological disorders, the latter of whom generally had low absolute risk. AESI were usually more common in patients with risk factors specific for each event. When a population similar to that of ORAL Surveillance was considered, the incidence rate of MACE with baricitinib was numerically lower than that reported with tofacitinib and similar to that of tumour necrosis factor inhibitors. No safety concerns were observed in hospitalised patients with COVID-19 who received baricitinib for up to 14 days. Identifying the patterns and likelihoods of AEs that occur during treatment in large groups of patients with different diseases can help the physician and patient better contextualise the benefit-to-risk ratio for the individual patient.