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Effect of inflammatory cytokines and plasma metabolome on OSA: a bidirectional two- sample Mendelian randomization study and mediation analysis.

BACKGROUND: Obstructive sleep apnea (OSA) is a common sleep disorder. Inflammatory factors and plasma metabolites are important in assessing its progression. However, the causal relationship between them and OSA remains unclear, hampering early clinical diagnosis and treatment decisions. METHODS: We conducted a large-scale study using data from the FinnGen database, with 43,901 cases and 366,484 controls for our discovery MR analysis. We employed 91 plasma proteins from 11 cohorts (totaling 14,824 participants of European descent) as instrumental variables (IVs). Additionally, we conducted a GWAS involving 13,818 cases and 463,035 controls to replicate the MR analysis. We primarily used the IVW method, supplemented by MR Egger, weighted median, simple mode, and weighted mode methods. Meta-analysis was used to synthesize MR findings, followed by tests for heterogeneity, pleiotropy, and sensitivity analysis (LOO). Reverse MR analysis was also performed to explore causal relationships. RESULTS: The meta-analysis showed a correlation between elevated Eotaxin levels and an increased risk of OSA (OR=1.050, 95% CI: 1.008-1.096; p < 0.05). Furthermore, we found that the increased risk of OSA could be attributed to reduced levels of X-11849 and X-24978 (decreases of 7.1% and 8.4%, respectively). Sensitivity analysis results supported the reliability of these findings. CONCLUSIONS: In this study, we uncovered a novel biomarker and identified two previously unknown metabolites strongly linked to OSA. These findings underscore the potential significance of inflammatory factors and metabolites in the genetic underpinnings of OSA development and prognosis.

Female

The role of ferroptosis in juvenile idiopathic arthritis: Causal inference and mediation by immune phenotypes.

This study employed a bidirectional 2-step, two-sample Mendelian randomization approach to investigate the causal relationships between ferroptosis-related genes and juvenile idiopathic arthritis (JIA) and to explore the mediating role of immune cells. Ferroptosis genes were identified from the deCODE database and matched with protein quantitative trait locus data as exposures to evaluate their causal effects on JIA, while immune cell traits were similarly assessed. For genes showing positive Mendelian randomization results, further analyses were conducted to determine whether immune cells mediated the effects on JIA, with mediation analysis performed only in the presence of causal associations. Data were sourced from the GWAS, FerrDb, and other public repositories. Nine ferroptosis-related genes were found to have causal links with JIA: HSPB1, DECR1, LIFR, and CTSB increased JIA risk, whereas PIEZO1, DPP4, BID, and others were protective. Forty immune cell traits were also causally associated with JIA. Mediation analysis revealed that several immune cells, including CD127- CD8+ T cells, partially mediated the genetic effects, with mediation proportions reaching up to 18.6%. Collectively, these results point to a ferroptosis-immune-JIA axis, suggesting that ferroptosis-related genes contribute to JIA pathogenesis through immune cell mediation and offering new mechanistic insights and potential therapeutic targets.

Arthritis, Juvenile

Can we identify people with Alzheimer's disease from examination of the eye? A bidirectional Mendelian randomization (MR) study.

BACKGROUND: Neurodegeneration in Alzheimer's disease (AD) is thought to be driven by amyloid-beta and tau deposition in the cerebral vasculature and brain. As the eye is an extension of the central nervous system, this study aimed to determine which neurovascular and neuroretinal changes in the eye are caused by AD rather than associations of the disease. METHODS: Bidirectional two-sample univariable and multivariable Mendelian randomization (MR) methods were applied. Instrumental variables were derived from genome-wide association studies (GWAS) of AD and the following ocular features: thickness measurements of central macula (MT), retinal nerve fibre layer (mRNFL), ganglion cell-inner plexiform layer (mGCIPL), outer nuclear layer (ONL), inner segment layer (IS), and outer segment (OS) from macular region OCT scans; arteriolar tortuosity (AT), venular tortuosity (VT), venular width (VW), fractal dimension (FD), vertical cup-to-disc ratio (VCDR), optic cup area (OCA), and optic disc area (ODA) derived from other imaging methods. RESULTS: There was strong evidence that genetic liability to AD affected the retinal vasculature by specifically increasing AT (&#x3b2; = 0.007;95%CI=0.002,0.011;p-value=0.005) in UK Biobank participants (n=52,798). AD may influence the mRNFL (&#x3b2;=-0.047,95%CI=-0.119,0.023,p-value=0.18) and mGCIPL (&#x3b2;=-0.061;95%CI=-0.14,0.025,p-value=0.16) of the inner retina and OS layer (&#x3b2; = 0.044;95%CI=-0.0001,0.08;p-value=0.05) but the evidence was weak. Multivariable MR analysis showed that a causal relationship between optic disc area and AD (OR=0.76;95%CI=0.62,0.93,p-value=0.009) was probably mediated by refractive error. CONCLUSION: Early cerebrovascular signs of AD may be detected by examination of the eye. Further investigation is required to determine the clinical utility of eye screening for dementia.

Humans

Shared genetic architecture between ADHD and intelligence varies across ADHD subtypes.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous neurodevelopmental condition frequently accompanied by cognitive difficulties. Although previous genetic studies have demonstrated substantial overlap between ADHD and intelligence, most have treated ADHD as a single phenotype. However, whether this shared genetic architecture differs across ADHD subtypes remains unclear. METHODS: We conducted a genome-wide cross-trait analysis integrating large-scale genome-wide association study (GWAS) datasets of overall ADHD, its subtypes-childhood ADHD, persistent ADHD, and late-diagnosed ADHD-and intelligence (total N&#x2009;>&#x2009;300,000). Genome-wide genetic correlations, polygenic overlap, local genetic correlations, and variant-level associations between ADHD phenotypes and intelligence were evaluated to characterize their shared genetic architecture. Shared variants were identified through cross-trait enrichment analyses and subsequently mapped to genes for functional annotation and gene-set enrichment. Bidirectional associations were evaluated using two-sample Mendelian randomization with sensitivity analyses. Additional GWAS datasets were used to validate the robustness of shared loci by assessing the consistency of effect directions. RESULTS: All ADHD phenotypes showed significant negative genetic correlations with intelligence (rg ranging from -0.3442 to -0.4205). Despite these modest genome-wide correlations, cross-trait analyses revealed substantial genetic overlap, including polygenic overlap, local genetic correlations, and variant-level associations. We identified 184 loci jointly associated with ADHD traits and intelligence, including 64 novel loci, whereas no shared loci were detected for persistent ADHD under the current analysis. Functional annotation revealed biologically distinct enrichment patterns across subtypes: childhood ADHD loci were linked to early neurodevelopmental processes, while late-diagnosed ADHD loci were enriched in synapse-related and neuronal signaling pathways. Mendelian randomization analyses suggested bidirectional associations, with stronger evidence supporting a directional association from intelligence to ADHD risk. Furthermore, these shared loci showed largely consistent effect directions across additional GWAS datasets, providing support for the robustness of the findings. CONCLUSIONS: The shared genetic architecture between ADHD and intelligence varies across ADHD subtypes, highlighting distinct biological pathways underlying cognitive heterogeneity in ADHD. These findings suggest that the relationship between ADHD liability and general cognitive ability is not uniform across ADHD subtypes and may inform future research on risk stratification and early identification in child and adolescent psychiatry.

Humans

Causal association between 91 circulating inflammatory proteins and primary open-angle glaucoma: a bidirectional Mendelian randomization study.

BACKGROUND: Glaucoma, especially primary open-angle glaucoma (POAG), is a leading cause of irreversible vision loss. While elevated intraocular pressure is a major risk factor, the pathogenesis of POAG also involves genetics, oxidative stress, abnormal hemodynamics, and inflammatory factors. The role of systemic inflammation in POAG remains a subject of debate. This study aimed to investigate the causal relationships between circulating inflammatory proteins and POAG using a bidirectional Mendelian randomization (MR) approach. METHODS: A bidirectional two-sample MR analysis was conducted using genome-wide association study summary statistics. The primary stage involved 91 circulating inflammatory proteins and POAG, followed by a replication stage to verify significant findings using independent data and meta-analysis. The random-effects inverse-variance weighted model was employed as the primary method, complemented by multiple sensitivity analyses employed to ensure robustness, including multivariable MR to adjust for potential confounders. RESULTS: In the primary stage, 9 circulating inflammatory proteins were found to have significant causal effects on POAG. Specifically, the higher levels of Delta and Notch-like epidermal growth factor-related receptor (DNER) (OR: 1.12, 95&#xa0;% CI: 1.04-1.21, P&#xa0;=&#xa0;0.004), leukemia inhibitory factor (LIF) (OR: 1.20, 95&#xa0;% CI: 1.06-1.36, P&#xa0;=&#xa0;0.003), matrix metalloproteinase-10 (MMP-10) (OR: 1.08, 95&#xa0;% CI: 1.02-1.16, P&#xa0;=&#xa0;0.013), and stem cell factor (SCF) (OR: 1.09, 95&#xa0;% CI: 1.03-1.15, P&#xa0;=&#xa0;0.005) were positively associated with the risk of POAG. Conversely, the levels of fibroblast growth factor 19 (FGF-19) (OR: 0.88, 95&#xa0;% CI: 0.82-0.95, P&#xa0;=&#xa0;0.002), interleukin-18 (IL-18) (OR: 0.92, 95&#xa0;% CI: 0.86-0.99, P&#xa0;=&#xa0;0.019), IL-18 receptor 1 (IL-18R1) (OR: 0.96, 95&#xa0;% CI: 0.92-1.00, P&#xa0;=&#xa0;0.037), tumor necrosis factor ligand superfamily member 14 (TNFSF14) (OR: 0.91, 95&#xa0;% CI: 0.86-0.97, P&#xa0;=&#xa0;0.004), and tumor necrosis factor-related activation-induced cytokine (TRANCE) (OR: 0.94, 95&#xa0;% CI: 0.88-1.00, P&#xa0;=&#xa0;0.041) exhibited inverse associations with the risk of POAG. Multivariable MR analysis adjusting for confounders supported the roles of DNER, FGF-19, IL-18, IL18R1, LIF, and SCF. The replication stage confirmed the significant associations for FGF-19 (OR: 0.89, 95&#xa0;% CI: 0.84-0.95, P&#xa0;=&#xa0;4.63&#xa0;&#xd7;&#xa0;10-4), IL-18 (OR: 0.93, 95&#xa0;% CI: 0.89-0.97, P&#xa0;=&#xa0;0.002), IL-18R1 (OR: 0.96, 95&#xa0;% CI: 0.93-0.99, P&#xa0;=&#xa0;0.023), and LIF (OR: 1.18, 95&#xa0;% CI: 1.04-1.34, P&#xa0;=&#xa0;0.013). Sensitivity analyses further supported the robustness of these findings. CONCLUSION: This study elucidated the causal relationships between circulating inflammatory proteins and POAG, highlighting FGF-19, IL-18, IL-18R1, and LIF as potential therapeutic targets. These findings provide new insights for the prevention and management of POAG, although further studies are needed to understand the precise biological mechanisms.

Humans

Inflammatory cytokines mediate thoracic aortic aneurysm formation via plasma metabolites: A two-step Mendelian randomization and single cell sequencing-based investigation.

Thoracic aortic aneurysm (TAA) is a life-threatening condition characterized by pathological dilation of the aorta. While inflammatory responses have been implicated in TAA pathogenesis, the causal relationships remain elusive. This study aimed to elucidate potential causal associations between inflammatory cytokines, plasma metabolites, and TAA risk using Mendelian randomization (MR) analysis. We conducted bidirectional two-sample MR analysis utilizing genome-wide association study data from 91 inflammatory cytokines (n&#x2005;=&#x2005;14,824), 1400 plasma metabolites (n&#x2005;=&#x2005;8299), and TAA (n&#x2005;=&#x2005;385,857). The inverse-variance weighted method served as the primary analytical approach, with comprehensive sensitivity analyses performed to assess pleiotropy and heterogeneity. Two-step MR analysis was employed to explore potential mediating roles of plasma metabolites. Single-cell sequencing analysis was utilized to detect cell type enrichment and elucidate cellular functions of identified cytokines. Additionally, we conducted an analysis to identify druggable proteins as potential therapeutic targets for TAA. MR analysis revealed that genetically-determined increases in C-X-C motif chemokine 10 (CXCL10) (odds ratios [OR]&#x2005;=&#x2005;1.149, 95% confidence interval [CI]: 1.009-1.309, P&#x2005;=&#x2005;.037) and fibroblast growth factor 5 (OR&#x2005;=&#x2005;1.101, 95% CI: 1.013-1.196, P&#x2005;=&#x2005;.024) were associated with elevated TAA risk. Conversely, C-C motif chemokine 20 (CCL20) (OR&#x2005;=&#x2005;0.870, 95% CI: 0.759-0.996, P&#x2005;=&#x2005;.043) and CD40L receptor (CD40) (OR&#x2005;=&#x2005;0.906, 95% CI: 0.827-0.992, P&#x2005;=&#x2005;.033) demonstrated inverse associations with TAA risk. Two-step MR analysis identified potential mediating metabolites: the phosphate to linoleoyl-arachidonoyl-glycerol ratio for CXCL10, thyroxine and X-24585 for FGF-5, and the creatine to carnitine ratio for CCL20. Single-cell sequencing analysis revealed enrichment of these cytokines in specific cell types and pathways relevant to TAA pathogenesis. Drug-gene interaction analysis identified CXCL10, CCL20, and CD40 as potential targets for treatment of TAA. This study provides robust genetic evidence supporting causal relationships between specific inflammatory cytokines and TAA risk, with plasma metabolites potentially mediating these effects. CXCL10 and FGF-5 were identified as potential risk factors, while CCL20 and CD40 may confer protective effects. These findings offer novel insights into TAA pathogenesis and suggest potential targets for intervention. Further research is warranted to elucidate the underlying mechanisms and validate these results across diverse populations.

Aortic Aneurysm, Thoracic

A bi-directional Mendelian randomization study of&#xa0;sarcopenia-related traits and&#xa0;renal function.

The association between sarcopenia and renal function has been reported in observational studies; however, the directionality and potential causal nature of these associations remain uncertain. We assessed whether genetically predicted sarcopenia-related traits are associated with renal function and vice versa using bidirectional Mendelian randomization (MR). We conducted a bidirectional two-sample MR analysis using publicly available European-ancestry GWAS summary statistics for appendicular lean mass (ALM), hand-grip strength (left and right), and walking pace, and for renal function (cystatin C-based estimated glomerular filtration rate [eGFRcystatin C] and urinary albumin excretion [UAE]). Causal estimates were primarily obtained using inverse-variance weighted (IVW) models, complemented by sensitivity analyses (MR-Egger intercept, weighted median/mode, MR-PRESSO, Radial MR, and leave-one-out). In forward MR, genetically predicted walking pace was positively associated with eGFRcystatin C. Genetically predicted ALM and grip strength (right and left) were inversely associated with UAE. In reverse MR, genetically predicted UAE was inversely associated with ALM and right-hand grip strength. Estimates were broadly consistent across sensitivity analyses, and outlier-robust analyses (MR-PRESSO/Radial MR) yielded similar results. These findings provide genetic evidence consistent with bidirectional relationships between sarcopenia-related traits and renal function (particularly UAE), under standard MR assumptions. Given potential limitations (e.g., heterogeneity, pleiotropy, and possible sample overlap), the results should be interpreted cautiously and complemented by other lines of evidence.

Humans

Is there a genetic correlation between tinnitus and temporomandibular joint disorder?: A two-sample Mendelian randomization study.

Tinnitus and temporomandibular disorder (TMD) are frequent coexistence of clinical symptoms caused by some systemic diseases in all humans. The observational research results on the correlation between tinnitus and TMD are inconsistent with the reported findings. The purpose of the study was to explore the bidirectional causal relationship between tinnitus and TMD. This study adopts a two-sample Mendelian randomization (MR) methodology. Single-nucleotide polymorphisms from the genome-wide association study were used as instrumental variables to elucidate the bidirectional causal relationship between tinnitus and TMD. The quality of our study was evaluated in accordance with the STROBE-MR guidelines. The MR analysis results showed that tinnitus (yes, most or all of the time now) could be significantly reduced TMD muscular pain linked with fibromyalgia (OR&#x2005;=&#x2005;0.239, 95% CI: 0.087-0.66, P&#x2005;=&#x2005;.0057), but there was no correlation between other frequencies of tinnitus and the increased risk of TMD in genetic predisposition (all P&#x2005;>&#x2005;.05). The reverse MR analysis revealed no causal relationship and correlation between TMD exposure and increased risk of tinnitus. Sensitivity analysis indicated no horizontal pleiotropy and insignificant heterogeneity. This MR study supports evidence of a correlation between high-frequency tinnitus and reduced risk of TMD muscle pain associated with fibromyalgia. Further research on disease mechanisms are needed to explore the correlation between tinnitus and TMD.

Humans

Multi-omics Mendelian randomization integrating RNA-seq, eQTL and pQTL data revealed CPXM1 as a potential drug target for osteoporosis.

Osteoporosis, a prevalent skeletal disorder characterized by decreased bone mineral density and increased fracture risk, continues to be a major global health concern. Traditional treatments for osteoporosis have limited efficacy and safety profiles, highlighting the need for novel therapeutic targets. This study integrates multi-omics data, including RNA-seq, expression quantitative trait loci (eQTL), and protein quantitative trait loci (pQTL) data, through Mendelian randomization (MR) to identify potential drug targets for osteoporosis. By leveraging bidirectional two-sample MR analysis, we identified CPXM1 (Carboxypeptidase X, M14 family member 1) as a novel gene that is causally linked to osteoporosis risk. Through transcriptomic and proteomic validation, we demonstrate that CPXM1 was upregulated in aged bone tissues and osteoporotic conditions in both human and murine models. Gene set enrichment analysis (GSEA) revealed significant dysregulation of bone homeostasis pathways, including increased extracellular matrix degradation and suppression of osteoblast differentiation in aged mice. Furthermore, phenome-wide association studies (PheWAS) confirmed minimal off-target effects of CPXM1, reinforcing its potential as a therapeutic target. Finally, computational drug repurposing predicted several promising drug candidates, including Doxorubicin, 5-Fluorouracil, and 2-Methylcholine, which may target CPXM1 pathways for osteoporosis treatment. These findings highlight CPXM1 as a potential biomarker and therapeutic target, offering new avenues for osteoporosis therapy.

Osteoporosis

Exploring the role of gut microbiota in coronary atherosclerosis through lipoprotein-mediated cholesterol transport and distribution: A Mendelian randomization analysis.

We employed Mendelian randomization (MR) to explore causal relationships between gut microbiota (GM), coronary atherosclerotic heart disease (CAHD), and potential metabolic mediators. We utilized summary statistics from genome-wide association studies (GWAS), encompassing data on 473 GM traits from comprehensive microbiome GWAS, 61 lipoprotein-mediated cholesterol transport and distribution data from large-scale metabolic biomarker studies, and coronary atherosclerosis (CA) data from the GWAS catalog (study accession GCST90043957) involving 456,348 European participants. Bidirectional MR analyses were conducted to investigate the causal relationships between GM and CA. Two-sample Mendelian randomization analyses were performed to identify potential mediating metabolites and quantify the mediation proportion. Ultimately, the GM GCA-900066755, identified through MR as having a potential causal relationship, was selected to investigate its potential effects on CA by influencing cholesterol transport and distribution. Our results indicated that GCA-900066755 was positively associated with an increased risk of CA (odds ratio&#x2005;=&#x2005;1.156). CA did not significantly affect the levels of GCA-900066755 (odds ratio&#x2005;=&#x2005;1.009). GCA-900066755 was negatively correlated with total cholesterol levels in medium high-density lipoprotein, which reduced CA risk, and was positively correlated with total cholesterol levels in low-density lipoprotein (LDL), large LDL, medium LDL, and small LDL, which were positively associated with CA. Mediation analysis showed 7 data points mediating the association between GCA-900066755 and CA. Our MR study supports a causal relationship between specific GM groups and the risk of CAHD, highlighting that cholesterol traits are not merely outcomes associated with the relationship between GM and CAHD, but are important mediating factors. Understanding the biological mechanisms of these traits can provide a concrete foundation for future targeted interventions.

Mendelian Randomization Analysis

Association among blood pressure, antihypertensive drugs, and amyotrophic lateral sclerosis.

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal and incurable neurodegenerative disease. The impacts of antihypertensive drugs and blood pressure (BP) on ALS are currently debatable. OBJECTIVE: To evaluate the causal relationship involving antihypertensive drugs, BP, and ALS through a Mendelian randomization (MR) analysis. METHODS: The causal relationship between BP and ALS was evaluated by a bidirectional two-sample MR analysis. Then, a sensitivity analysis was performed using a secondary BP genome-wide association study. The drug-target MR was employed to evaluate the impact of antihypertensive drugs on ALS. Furthermore, we used cis-expression quantitative trait loci (cis-eQTLs) data from brain tissue and blood to validate the positive results by a summary-based MR method. RESULTS: We found that an increment in systolic BP (SBP) could elevate the risk of ALS (inverse-variance weighted [IVW] odds ratio [OR]&#x2009;=&#x2009;1.003; 95% confidence interval [95%CI]: 1.001-1.006; per 10-mmHg increment) and ALS might be protected by angiotensin-converting enzyme inhibitors (ACEIs; OR&#x2009;=&#x2009;0.970; 95%CI: 0.956-0.984; p&#x2009;=&#x2009;1.96&#x2009;&#xd7;&#x2009;10-5; per 10-mmHg decrement). A causal relationship was not observed between diastolic BP and other antihypertensive drugs in ALS. CONCLUSION: In the present study, genetic support for elevated SBP serves as a risk factor for ALS. Besides, ACEIs hold promise as a candidate for ALS.

Humans

Hyperthyroidism Is Genetically Associated With Reduced Risk of Parkinson's Disease: A Mendelian Randomization Analysis.

Parkinson's disease (PD) is a progressive neurodegenerative disorder whose aetiology involves an intricate interplay of genetic, immune, metabolic and environmental factors. Endocrine dysfunction-particularly disturbances of thyroid hormone signalling-has been proposed as a contributor to neurodegeneration, but conventional observational studies have produced inconsistent results, and prior Mendelian randomization (MR) work has largely focused on continuous thyroid biomarkers rather than clinically defined hyperthyroid disease states. To clarify this relationship, we performed a two-sample bidirectional and multivariable MR (MVMR) analysis using large-scale genome-wide association study (GWAS) summary statistics from the FinnGen and IEU Open GWAS databases (European ancestry). Single-nucleotide polymorphisms (SNPs) reaching genome-wide significance (p&#x2009;<&#x2009;5&#x2009;&#xd7;&#x2009;10-8) for Graves' disease and thyrotoxicosis with diffuse goitre served as instrumental variables. The inverse-variance weighted (IVW) method was the primary analysis, complemented by MR-Egger, weighted median, weighted mode and simple mode estimators, and MVMR adjusted for smoking, alcohol consumption, and body mass index (BMI). In forward analyses, genetically proxied Graves' disease (OR&#x2009;=&#x2009;0.942, 95% CI 0.901-0.985, p&#x2009;=&#x2009;0.008) and thyrotoxicosis with diffuse goitre (OR&#x2009;=&#x2009;0.929, 95% CI 0.879-0.982, p&#x2009;=&#x2009;0.009) were associated with a lower risk of PD, whereas reverse analyses showed no significant effect of genetic liability to PD on either thyroid trait. The inverse associations remained stable across MVMR models, and sensitivity analyses (Cochran's Q, MR-Egger intercept, MR-PRESSO, leave-one-out) showed no evidence of heterogeneity or horizontal pleiotropy. Collectively, these findings provide genetic evidence consistent with a protective relationship between hyperthyroid disease states and PD, independent of major lifestyle confounders. By focusing on clinically defined hyperthyroid entities rather than continuous thyroid indices, our study complements prior MR work and highlights the thyroid-brain axis-encompassing thyroid hormone signalling and autoimmune-mediated immune modulation-as a biologically plausible and potentially modifiable contributor to PD risk that warrants further mechanistic and translational investigation.

Humans

Exploring correlations between immune cell phenotypes and the risk of epilepsy: A bidirectional Mendelian randomization study.

BACKGROUND: Neuroinflammation plays an important pathophysiological role in epilepsy; however, the precise connection between immune cells and epilepsy remains unclear. This study used Mendelian randomization (MR) to analyze the causal relationship between 731 immune cell traits and epilepsy. METHODS: Based on data from a genome-wide association study (GWAS), a bidirectional two-sample MR analysis was conducted to investigate the potential influence of immune cell phenotypes on epilepsy. Five MR methods were used to analyze the results, with the inverse variance weighted (IVW) method as the primary method, and the results were corrected using the false discovery rate (FDR) method. Sensitivity analyses were performed to test for heterogeneity and horizontal pleiotropy. RESULTS: After correction for FDR, four immune traits remained significantly associated with epilepsy risk: CD25 expression on memory (OR&#xa0;=&#xa0;1.04, 95&#xa0;% CI&#xa0;=&#xa0;1.02&#xa0;&#x223c;&#xa0;1.06,P&#xa0;=&#xa0;2.55&#xa0;&#xd7;&#xa0;10-4), IgD+CD38dim (OR&#xa0;=&#xa0;1.05, 95&#xa0;% CI&#xa0;=&#xa0;1.02&#xa0;&#x223c;&#xa0;1.08, P&#xa0;=&#xa0;4.73&#xa0;&#xd7;&#xa0;10-4), CD24+CD27+ (OR&#xa0;=&#xa0;1.04, 95&#xa0;% CI&#xa0;=&#xa0;1.02&#xa0;&#x223c;&#xa0;1.06, P&#xa0;=&#xa0;4.82&#xa0;&#xd7;&#xa0;10-4), and IgD-CD38dim (OR&#xa0;=&#xa0;1.04, 95&#xa0;% CI&#xa0;=&#xa0;1.02&#xa0;&#x223c;&#xa0;1.06, P&#xa0;=&#xa0;1.04&#xa0;&#xd7;&#xa0;10-3) B cells. The risk of generalized epilepsy was significantly associated with two immune cell traits, whereas that of focal epilepsy was significantly associated with seven immune cell traits. Furthermore, immune cell phenotypes are not affected by genetically predicted epilepsy. CONCLUSION: This MR study affirms the causal connection between circulating immune cells and epilepsy, offering guidance for further understanding of the immune mechanisms that underlie epilepsy and the discovery of novel targets for therapy.

Humans

Causal Associations of Sleep Apnea with Alzheimer's Disease and Cardiovascular Disease: a Bidirectional Mendelian Randomization Analysis.

BACKGROUND: Sleep apnea (SA) has been linked to an increased risk of dementia in numerous observational studies; whether this is driven by neurodegenerative, vascular or other mechanisms is not clear. We sought to examine the bidirectional causal relationships between SA, Alzheimer's disease (AD), coronary artery disease (CAD), and ischemic stroke using Mendelian randomization (MR). METHODS: Using summary statistics from four recent, large genome-wide association studies of SA (n=523,366), AD (n=64,437), CAD (n=1,165,690), and stroke (n=1,308,460), we conducted bidirectional two-sample MR analyses. Our primary analytic method was fixed-effects inverse variance weighted MR; diagnostics tests and sensitivity analyses were conducted to verify the robustness of the results. RESULTS: We identified a significant causal effect of SA on the risk of CAD (odds ratio (OR IVW ) =1.35 per log-odds increase in SA liability, 95% confidence interval (CI) =1.25-1.47) and stroke (OR IVW =1.13, 95% CI =1.01-1.25). These associations were somewhat attenuated after excluding single-nucleotide polymorphisms associated with body mass index (BMI) (OR IVW =1.26, 95% CI =1.15-1.39 for CAD risk; OR IVW =1.08, 95% CI =0.96-1.22 for stroke risk). SA was not causally associated with a higher risk of AD (OR IVW =1.14, 95% CI =0.91-1.43). We did not find causal effects of AD, CAD, or stroke on risk of SA. CONCLUSIONS: These results suggest that SA increased the risk of CAD, and the identified causal association with stroke risk may be confounded by BMI. Moreover, no causal effect of SA on AD risk was found. Future studies are warranted to investigate cardiovascular pathways between sleep disorders, including SA, and dementia.

Preprint

A Mendelian Randomization Study of Immune Cell Traits and Plasma Metabolites in Hashimoto's Thyroiditis.

Hashimoto's thyroiditis (HT) is an autoimmune disorder of the thyroid. While immune cells are implicated in its pathogenesis, their specific roles have yet to be fully clarified. A two-sample Mendelian randomization (MR) analysis was conducted integrating genome-wide association study (GWAS) summary statistics from large public datasets for immune cell traits (ebi-a-GCST90001391 to ebi-a-GCST90002121), plasma metabolites (GCST90199621-9020102), and HT (ebi-a-GCST90018855). Causal effects were estimated using inverse-variance weighted (IVW) methods, with MR-Egger, weighted median, and leave-one-out analyses to assess pleiotropy and robustness. Bidirectional and mediation MR analyses were further applied to test directionality and identify potential metabolite-mediated pathways. CD3&#x207a;CD4&#x207a;CD25&#x207a;CD39&#x207a;Treg cells were quantified in peripheral blood samples using flow cytometry. Isovalerylcarnitine (C5) was measured by liquid chromatography tandem mass spectrometry. IVW analysis identified 32 immune cell phenotypes significantly associated with HT risk (P < 0.05 after FDR correction). Reverse MR analysis demonstrated that HT was positively causally linked with 2 immune characteristics, while 4 immune characteristics (all P < 0.05) were inversely associated with HT. Sensitivity analyses revealed no horizontal pleiotropy or heterogeneity. Additionally, the IVW method preliminarily identified 9 plasma metabolites as causally related to HT, including risk-enhancing C5 (OR = 1.120, 95% CI: 1.032-1.215, P = 0.006) and protective ergothioneine (OR = 0.958, 95% CI: 0.927-0.990, P = 0.010). Two-step MR mediation identified C5 as a candidate mediator connecting CD3&#x207a; CD39&#x207a; Treg to HT (mediation proportion 8.89%, 95% CI: 2.34%-15.4%, P = 0.008). Flow cytometry elevated CD39&#x207a;Treg levels and plasma C5 in HT patients, with C5 positively correlated with CD39&#x207a;Treg cells proportion. This study establishes novel causal links between immune cell phenotypes and HT, and highlights plasma metabolites, particularly C5, as potential mediators in HT pathogenesis. These findings deepen mechanistic understanding of autoimmune thyroid disease and may guide future biomarker and therapeutic target discovery.

Humans

The relationship between major depression, attention-deficit hyperactivity disorder and coronary artery disease: A two-sample Mendelian randomization analysis.

Coronary artery disease (CAD) constitutes a principal cause of global morbidity and mortality. Studies imply a connection between mental health disorders, especially major depression (MD) and attention-deficit hyperactivity disorder (ADHD), and the risk of CAD. To investigate the causal influence of genetic susceptibility to MD and attention-deficit/hyperactivity disorder (ADHD) on the risk of CAD, summary-level data from genome-wide association studies involving individuals of European descent were utilized. This analysis identified 11 single-nucleotide polymorphisms (SNPs) associated with MD, 60 SNPs linked to ADHD, and 10 SNPs related to CAD as instrumental variables. The inverse variance weighted method was employed for causal estimation, complemented by sensitivity analyses using MR-Egger regression and the weighted median estimator. A positive causal relationship was identified between MD, attention-deficit/hyperactivity disorder (ADHD), and the risk of CAD [MD: Odds Ratio (OR): 42.66, 95% Confidence Interval (CI): 7.55-241.2; ADHD: OR: 1.055, 95% CI: 1.006-1.106]. No significant causal association was observed between obesity and ADHD. In the multivariable Mendelian randomization (MVMR) analysis, the causal effect of ADHD on CAD was found to be diminished (OR: 1.005, 95% CI: 0.998-1.020), while the impact of body mass index on CAD remained stable (OR: 1.557, 95% CI: 1.459-1.661). This Mendelian randomization study reveals the lack of a consistent association among MD, ADHD, and CAD, suggesting a causal relationship and bidirectional effects between ADHD and obesity.

Humans

Causal Associations and Potential Mediating Factors between Sarcopenia-Related Traits and Heart Failure Risk: A Mendelian Randomization Study.

INTRODUCTION: In this two-sample, two-step Mendelian randomization (MR) study, we aimed to elucidate the causal associations between sarcopenia-related characteristics and heart failure (HF) risk, and to identify the factors mediating these associations, with a particular focus on the mediating roles of obesity and sedentary habits. METHODS: Genetic instruments for appendicular lean mass (ALM), hand grip strength (HGS), walking pace (WP), and potential mediators were extracted from genome-wide association studies. Inverse-variance weighting (IVW) was used as the primary analytical method, supplemented by MR-Egger regression, weighted median, and weighted mode analyses. Sensitivity analyses including Cochran's Q test and MR-Egger intercept method were performed to assess heterogeneity and pleiotropy. Bidirectional MR was conducted to exclude reverse causation. RESULTS: IVW revealed that a faster genetically predicted WP was associated with lower HF risk (odds ratio [OR] 0.44, 95% confidence interval [CI] 0.33-0.60, p = 5.806 &#xd7; 10-7). The mediation analysis indicated that body mass index (BMI) accounted for 32% of this effect, while time spent watching television accounted for 14%. Elevated ALM showed a slight but significant positive association with HF risk (OR 1.06, 95% CI 1.03-1.09, p = 5.437 &#xd7; 10-4). However, multivariable MR adjusting for BMI completely attenuated this association (p = 0.693), suggesting ALM reflects overall body composition rather than isolated muscle mass. No significant associations were found between HGS and HF. Bidirectional MR showed no robust reverse effects. CONCLUSIONS: These findings suggest that genetically predicted increased WP exerts beneficial effects against HF, partially mediated by obesity and sedentary habits. Targeting weight management and anti-sedentary interventions may mitigate HF risk in individuals with sarcopenia-related characteristics.

Heart failure