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BACKGROUND: The "epileptic heart" concept is emerging, but the causal relationship between epilepsy and atrial fibrillation (AF) remains unclarified. OBJECTIVE: This study explores the genetic correlations and bidirectional causality between various epilepsy phenotypes and AF. METHODS: Genome-wide association study (GWAS) statistics for 10 epilepsy subtypes (29,944 cases, 52,538 controls) and AF (60,620 cases, 970,216 controls) were sourced from the International League Against Epilepsy (ILAE) and HGRI-EBI Catalog-GWAS, respectively. Linkage disequilibrium score regression (LDSC) and genome-wide Mendelian Randomization (MR) evaluated genetic correlations and bidirectional causal relationships. Epilepsy-related DNA methylation data (N= ∼800) from EWAS catalog were analyzed to identify causal CpG sites influencing AF risk through epigenetic MR. RESULTS: LDSC revealed significant genetic correlations between four epilepsy subtypes and AF (rg from 0.116 to 0.241). Forward MR suggested a significant causal effect of focal epilepsy with hippocampal sclerosis (FE with HS) on AF risk (IVW and MR-PRESSO: OR = 1.046, P ≤ 0.004), with results robust against heterogeneity, horizontal pleiotropy, and outliers. Epigenetic MR indicated that lower methylation at cg06222062 (OR = 0.994, P = 3.16E-04) mapped to PLA2G5 and cg08461451 mapped to SPPL2B gene (OR = 0.954, P = 1.19E-03), and higher cg10541930 in the C10orf143 promoter (OR = 1.043, P = 4.18E-22) increases AF risk. Sensitivity analyses affirmed no pleiotropic bias. CONCLUSION: FE with HS significantly increases AF risk, highlighting the natural neural-cardiac connection and the need for cardiac monitoring in epilepsy patients. Specific methylated CpG sites may serve as biomarkers and preventive targets for AF susceptibility.

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BACKGROUND: 3-Hydroxybutyrate, also called ß-hydroxybutyrate, is a significant constituent of ketone bodies. Previous observational and experimental studies have suggested that ketogenic diet, especially 3-hydroxybutyrate, may have a protective effect against cardiovascular disease. However, the relationship between ketone bodies, especially 3-hydroxybutyrate, and aortic dissection remains uncertain. MATERIALS AND METHODS: Publicly accessible data from genome-wide association study (GWAS) was utilized to obtain information on ketone bodies, including 3-hydroxybutyrate, acetoacetate and acetone as exposure respectively, while GWAS data on aortic dissection was used as outcome. Subsequently, two-sample Mendelian randomization (MR) analysis was conducted to examine the potential relationship between ketone bodies and aortic dissection. Then, reverse and multivariate Mendelian randomization analyses were performed. Additionally, sensitivity tests were conducted to assess the robustness of MR study. RESULTS: The inverse-variance weighted (IVW) method of Mendelian randomization analysis of gene prediction observed a negative correlation between 3-hydroxybutyrate and risk of aortic dissection (OR 0.147, 95% CI 0.053-0.410). Furthermore, consistent findings were obtained through the implementation of the weighted median, simple mode, Mendelian randomization-Egger (MR-Egger), and weighted mode methods. After adjusting acetoacetate (OR 0.143, 95% CI 0.023-0.900) or acetone (OR 0.100, 95% CI 0.025-0.398), MR analysis of gene prediction still observed a negative correlation between 3-hydroxybutyrate and risk of aortic dissection. No indications of heterogeneity or pleiotropy among the SNPs were detected. CONCLUSION: The findings from the MR analysis demonstrated that genetically predicted 3-hydroxybutyrate exhibits a protective effect against aortic dissection.

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Background: Observational studies have indicated a potential association between autoimmune diseases and the occurrence of Osteoarthritis (OA), with an increased risk of mortality among affected patients. However, whether a causal relationship exists between the two remains unknown. Methods: In the Mendelian randomization (MR) study, we accessed exposure Genome-wide association study (GWAS) data from both the MRC Integrative Epidemiology Unit (MRC-IEU) and the FinnGen consortium. GWAS data for OA were obtained from MRC-IEU. We employed univariable, multivariable, and reverse MR analyses to explore potential associations between autoimmune disorders and OA. Additionally, a two-step mediation MR analysis was performed to investigate indirect factors possibly influencing the relationship between autoimmune disorders and OA. Afterward, we conducted an observational analysis to further explore the relationship between autoimmune disease and occurrence as well as of OA using a real-world database (the MIMIC-IV database). Based on public gene expression sequencing data, we further explored the potential shared pathogenesis between autoimmune diseases and OA. Results: In our univariable MR study, we identified five autoimmune diseases that are associated with OA. These include Celiac disease (OR = 1.061, 95% CI = 1.018-1.105, p = 0.005), Crohn's disease (OR = 1.235, 95% CI = 1.149-1.327, p = 9.44E-09), Ankylosing spondylitis (OR = 2.63, 95% CI = 1.21-5.717, p = 0.015), RA (OR = 1.082, 95% CI = 1.034-1.133, p = 0.001), and Ulcerative colitis (OR = 1.175, 95% CI = 1.068-1.294, p = 0.001). In the mediation effect analysis, it was found that there is no correlation between cytokines and autoimmune diseases and OA. Based on transcriptome data analysis, it was found that metabolism-related pathways play a key role in the co-morbidity of autoimmune diseases and OA. Conclusion: Our findings revealed that genes associated with Celiac disease, Crohn's disease, Ankylosing spondylitis, RA, and Ulcerative colitis were independently linked to the development of OA. Furthermore, we conducted an analysis of potential pathogenic genes between these diseases and OA, offering a novel approach for the simultaneous treatment of multiple conditions.

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Background: While the hepatic enzymes Aspartate Aminotransferase (AST) and Alanine Aminotransferase (ALT) are crucial for liver function, their role in Spontaneous Abortion (SA) has not been thoroughly explored. Utilizing Mendelian Randomization (MR), this study aims to clarify the putative causal relationship between AST/ALT levels and SA. Methods: Genome-wide association study (GWAS) summary data for SA (finn-b-O15_ABORT_SPONTAN), AST (ukb-d-30650_raw), and ALT (ukb-d-30620_raw) were acquired from the Integrative Epidemiology Unit OpenGWAS database. Bidirectional MR analysis was conducted using MR-Egger, Weighted Median, Simple Mode, Weighted Mode, and Inverse Variance Weighted (IVW) algorithms, and the robustness of MR results was assessed through sensitivity analyses including Heterogeneity, Horizontal Pleiotropy, and Leave-One-Out (LOO) tests. The causal role of AST and ALT's coaction in SA was explored via multivariable MR (MVMR) analysis. Results: The MR results via the IVW algorithm revealed a causal relation between both AST and ALT and SA (AST: P = 0.013; ALT: P = 0.017), identifying them as risk factors for SA (AST: odd ratio (OR) = 1.019; ALT: OR = 1.012). Sensitivity analysis substantiated the reliability of these results. Moreover, not notably causality was found between SA and AST/ALT (P > 0.05). Through MVMR analysis, AST and ALT demonstrated functional complementarity in the occurrence of SA, attributable to counterbalanced causalities (AST: P = 0.128; ALT: P = 0.899). Conclusion: The study substantiates a causal linkage between transaminase levels and SA, enhancing our understanding of their biological interaction and the regulatory mechanisms at play. These insights could have implications for identifying novel biomarkers and therapeutic targets for SA.

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BACKGROUND: The intricate interplay between genetics and immunology often dictates the host's susceptibility to various diseases. This study explored the genetic causal relationship between natural killer (NK) cell-related traits and the risk of infection. METHODS: Single-nucleotide polymorphisms (SNPs) significantly associated with NK cell-related traits were selected as instrumental variables to estimate their genetic causal effects on infection. SNPs from a genome-wide association study (GWAS) on NK cell-related traits, including absolute cell counts, median fluorescence intensities reflecting surface antigen levels, and relative cell counts, were used as exposure instruments. Summary-level GWAS statistics of four phenotypes of infection were used as the outcome data. The exposure and outcome data were analyzed via the two-sample Mendelian randomization method. RESULTS: Each one standard deviation increase in the expression level of human leukocyte antigen (HLA)-DR on HLA-DR+ NK cells was associated with a lower risk of pneumonia (P < 0.05). An increased HLA-DR+ NK/CD3- lymphocyte ratio was related to a lower of risk of pneumonia (P  < 0.05). Each one standard deviation increase in the absolute count of HLA-DR+ NK cells was associated with a lower risk of both bacterial pneumonia and pneumonia (P < 0.05). An increased HLA-DR+ NK/NK ratio was associated with a decreased risk of both pneumonia and bacterial pneumonia (P < 0.05). The results were robust under all sensitivity analyses. No evidence for heterogeneity, pleiotropy, or potential reverse causality was detected. Notably, our analysis did not reveal any significant associations between NK cell-related traits and other phenotypes of infection, including cellulitis, cystitis, and intestinal infection. CONCLUSIONS: HLA-DR+ NK cells could be a novel immune cell trait associated with a lower risk of bacterial pneumonia or pneumonia.

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Background: Lung cancer is responsible for most cancer-related deaths, and non-small cell lung cancer (NSCLC) accounts for the majority of cases. Targeted therapy has made promising advancements in systemic treatment for NSCLC over the last two decades, but inadequate drug targets with clinically proven survival benefits limit its universal application in clinical practice compared to chemotherapy and immunotherapy. There is an urgent need to explore new drug targets to expand the beneficiary group. This study aims to identify druggable genes and to predict the efficacy and prognostic value of the corresponding targeted drugs in NSCLC. Methods: Two-sample mendelian randomization (MR) of druggable genes was performed to predict the efficacy of their corresponding targeted therapy for NSCLC. Subsequent sensitivity analyses were performed to assess potential confounders. Accessible RNA sequencing data were incorporated for subsequent verifications, and Kaplan-Meier survival curves of different gene expressions were used to explore the prognostic value of candidate druggable genes. Results: MR screening encompassing 4,863 expression quantitative trait loci (eQTL) and 1,072 protein quantitative trait loci (pQTL, with 453 proteins overlapping) were performed. Seven candidate druggable genes were identified, including CD33, ENG, ICOSLG and IL18R1 for lung adenocarcinoma, and VSIR, FSTL1 and TIMP2 for lung squamous cell carcinoma. The results were validated by further transcriptomic investigations. Conclusions: Drugs targeting genetically supported genomes are considerably more likely to yield promising efficacy and succeed in clinical trials. We provide compelling genetic evidence to prioritize drug development for NSCLC.

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Background: The association between Parkinson's disease (PD) and gastrointestinal (GI) cancers remains unknown. This study aims to assess the causal effect of PD on colon cancer (CC), gastric cancer (GC), esophageal cancer (EC), and rectal cancer (RC) using the two-sample Mendelian randomization (MR) method. Methods: Five pairs of summary datasets of genome-wide association studies (GWAS) from publicly available studies [Integrative Epidemiology Unit (IEU) OpenGWAS project, FinnGen, and GWAS Catalog database] were enrolled. The inverse variance weighted (IVW) method was used as the primary outcome for MR analysis. Cochran Q-derived, MR-Egger intercept test, MR-Pleiotropy Residual Sum and Outlier (MR-PRESSO) methods, and leave-one-out analysis were used to test heterogeneity and directional pleiotropy. Results: For the European population, no significant causal effect of PD on the risk of CC was found [odds ratio (OR) =0.9; 95%, confidence interval (CI): 1.00-1.11; P=0.42]. The same applied to the East Asian population (OR =1.05; 95% CI: 0.66-1.66; P=0.63). As for GC, no causal effect was found (OR =0.94, 95% CI: 0.89-0.99; P=0.22). Moreover, the genetic liability for PD was not associated with EC (OR =1.00; 95% CI: 0.99-1.00; P=0.32). Finally, no evidence was found for any causal effect of genetic liability for PD on an increased risk of RC (OR =1.00; 95% CI: 0.99-1.00; P=0.71). Conclusions: There is no causal effect of genetic liability for PD on an increased risk of GI cancer.

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Background: The growth and metastasis of pancreatic cancer (PC) has been found to be closely associated with liquid-liquid phase separation (LLPS). This study sought to identify LLPS-related biomarkers in PC to construct a robust prognostic model. Methods: Transcriptomic data and clinical information related to PC were retrieved from publicly accessible databases. The PC-related data set was subjected to differential expression, Mendelian randomization (MR), univariate Cox, and least absolute selection and shrinkage operator analyses to identify biomarkers. Using the biomarkers, we subsequently constructed a risk model, identified the independent prognostic factors of PC, established a nomogram, and conducted an immune analysis. Results: The study identified four genes linked with an increased risk of PC; that is, PYGB, ACTR3, CCNA2, and ITGB1. Conversely, ATP8A1, and RAP1GAP2 were found to provide protection against PC. These findings contributed significantly to the development of a highly precise risk model in which risk, age, and pathology N stage were categorized as independent factors in predicting the prognosis of PC patients. Using these factors, a nomogram was established to predict survival outcomes accurately. An immune analysis revealed varying levels of eosinophils, gamma delta T cells, and other immune cells between the distinct risk groups. The high-risk patients exhibited increased potential for immune escape, while the low-risk patients showed a higher response to immunotherapy. Conclusions: Six genes were identified as having potential causal relationships with PC. These genes were integrated into a prognostic risk model, thereby serving as unique prognostic signatures. Our findings provide novel insights into predicting the prognosis of PC patients.

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Background: Targeted therapy is a crucial treatment modality for advanced gastric cancer, with several targets already identified, and the exploration of new targets is important. In this study, our aim was to identify plasma proteins causally associated with gastric cancer to explore novel genetic targets for the disease. Methods: Firstly, we utilized protein quantitative trait loci data for 4,907 plasma proteins and genome-wide association study data for gastric cancer to conduct Mendelian randomization (MR) analyses. This was followed by summary-data-based MR analysis on the identified plasma proteins. We then analyzed single-cell sequencing data from the Gene Expression Omnibus database to describe the distribution of genes corresponding to these proteins across different stages and cell types of gastric cancer. Results: MR analysis identified 12 plasma proteins with potential causal associations with gastric cancer, among which motilin (MLN) and THSD1 passed the summary-data-based MR test. These proteins showed no evidence of pleiotropy nor heterogeneity. In single-cell sequencing analysis, EPHB4, KDR, SEMA6B, CDH1, and C1GALT1C1 were found to be enriched in specific cell types within gastric cancer. KDR and LIFR exhibited significant differential expression between gastric cancer and normal tissues. All the 12 genes displayed differential expression across different stages of gastric cancer. Conclusions: Overall, our study identified several plasma proteins with potential causal relationships to gastric cancer. This provides potential candidate targets for gastric cancer research and advances our understanding of the disease's genetic foundations.

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Background: Sleep traits have been linked to diseases; particularly, their impact on cancer has received increasing attention. This study aimed to investigate whether sleep traits have a causal relationship with colorectal cancer (CRC) using two-sample Mendelian randomization (TSMR). Methods: Genetic instrumental variables (IVs) for seven sleep traits (sleep duration, ease of getting up in the morning, morning chronotype, daytime napping, insomnia symptoms, snoring, and daytime dozing) were selected from pooled data from published genome-wide association studies (GSWSs). Two-sample multivariate Mendelian randomization (MR) analyses were conducted to assess the causal association between sleep traits and CRC. Reverse MR analyses were performed to determine the causal relationship between CRC and sleep traits. Inverse variance weighted (IVW), MR-Egger, and weighted medians were calculated for all MR analyses. Results: The multivariable MR (MVMR) analysis found that appropriate sleep duration [odds ratio (OR) =0.989; 95% confidence interval (CI): 0.980, 0.999; P=0.04] and ease of getting up in the morning (OR =0.990; 95% CI: 0.980, 1.000; P=0.04) were protective factors for CRC. Snoring (OR =1.021; 95% CI: 1.002, 1.041; P=0.03) was associated with the risk of CRC. Ease of getting up in the morning (OR =0.990; 95% CI: 0.983, 0.997; P=0.003) was associated with reduced risk of colon cancer. Morning chronotype (OR =1.004; 95% CI: 1.000, 1.007; P=0.04) was associated with the risk of colon cancer. Insomnia symptoms (OR =0.995; 95% CI: 0.990, 0.999; P=0.03) were a protective factor for rectal cancer. There was no evidence found for a causal association between other sleep traits and CRC, colon, or rectal cancer. Conclusions: Proper sleep duration and ease of getting up in the morning may be protective factors against CRC, and snoring may increase the risk of CRC.

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OBJECTIVES: Pre-eclampsia (PE) and gestational hypertension (GH) are two different categories of hypertensive disorders of pregnancy. Given earlier observational research, the relationship between sex hormone-binding globulin (SHBG) and a higher risk of GH/PE is still up for dispute. Hence, the present investigation aimed to examine the possible link between SHBG and the likelihood of GH/PE. METHODS: As a first stage, single nucleotide polymorphisms from summary-level genome-wide association studies were tightly screened using quality-control techniques. Afterward, we utilized a two-sample Mendelian randomization (MR) study to examine the causal impact of SHBG on the likelihood of GH/PE. There was no indication of a relationship between blood SHBG level (n = 214,989) and GH/PE (1864 cases and 461,069 controls) in the initial study. Consensus results were obtained from the replicated analysis, which utilized MR estimates based on serum SHBG level(n = 214,989) for GH (4255 cases and 114,735 controls). RESULTS: The findings did not indicate any proof of a cause-and-effect connection between SHBG and the likelihood of GH/PE (odds ratio [OR] = 0.99, 95% confidence interval [CI] = 0.999 - 1.00, p = .34). Replicate analysis also revealed similar patterns (OR = 0.92, 95%CI = 0.82-1.05, p = .21). The above findings were demonstrated to have a strong level of robustness. CONCLUSIONS: The findings of this research did not offer definitive proof to endorse the idea that SHBG has a direct causal impact on the likelihood of GH/PE, which goes against numerous widely accepted observational studies. To ascertain the potential processes behind the relationships seen in observational studies, more investigation is needed.

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Background: Recent studies have observed the relationships of circulatory and dietary intake of branched-chain amino acids (BCAAs) with long-term risk of certain cancers. However, the exact causality of BCAA with lung cancer (LUCA) and its pathological subtypes remains obscure. The aim of this study is to investigate the association between BCAA metabolism and risk of LUCA. Methods: Here we conducted Mendelian randomization (MR) and observational epidemiological analyses to investigate the association between BCAA and risk of LUCA. With single nucleotide polymorphism (SNP)-phenotype association data extracted from genome-wide association studies (GWAS), we performed univariate and multivariate MR analyses to infer the causal effect of circulatory BCAA concentrations on LUCA. We further investigated the effects of several potential mediators and quantified the mediation effects. Population-level analyses were performed in the National Health and Nutrition Examination Survey (NHANES) III. Results: Our results demonstrated that genetically predicted circulatory valine concentrations causally increased the risk of overall LUCA [odds ratio (OR) =1.324, 95% confidence interval (CI): 1.058-1.658, P=0.01]. For pathological subgroups, elevated levels of leucine, isoleucine, valine, and total BCAA were founded to be significantly associated with a higher risk of squamous cell lung cancer (LUSC); however, they did not significantly affect lung adenocarcinoma (LUAD). Moreover, body mass index (BMI) mediated approximately 3.91% (95% CI: 1.22-7.18%) of the total effect of leucine on LUSC. In the NHANES III population, dietary total BCAA intake was significantly associated with BMI ≥30 kg/m2, while no non-linear relationships were observed. Conclusions: This study provides genetic evidence for the histology-specific causality of BCAA on LUCA and implies the mediation role of BMI in this relationship. Further studies are needed to confirm these findings and elucidate the underlying mechanisms.

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Background: Previous research has found a link between the temperature of food and beverages and the risk of esophageal cancer (EC). A causal relationship between the two has not been well established. Herein, we used Mendelian randomization (MR) analysis to assess the causal effect of temperature preference for hot beverages on EC risk. Methods: Genome-wide association studies (GWAS) data for hot beverage temperature preference were obtained from the UK biobank. There were 457,873 European and 2,617 East Asian participants included. GWAS data for EC were obtained from the Integrative Epidemiology Unit (IEU) project database. Two datasets from the European population and two datasets from the East Asian population were included. Totally, 4,426 EC cases and 1,202,270 control subjects were included. The "TwoSampleMR" R package was used to conduct a two-sample MR analysis. A random-effect inverse variance weighted (IVW) was used as the main analytical method to estimate the causal effect, and various sensitivity analyses, including MR Egger, weighted median, simple mode, and weighted mode, were used to examine the potential violation of the second and third MR assumptions. Meta-analyses were performed to further confirm the results. Results: Sixty-eight single nucleotide polymorphisms (SNPs) from the European population and 11 SNPs from the East Asian population were used for MR analysis. No significant causal effect was found between hot beverage temperature preference and EC risk in the European population {for the ieu-b-4960 dataset, inverse variance weighted odds ratio (ORIVW) =1.00 [95% confidence interval (CI): 0.99-1.00], P=0.54; for the ebi-a-GCST90018841 dataset, ORIVW =0.35 (95% CI: 0.10-1.29), P=0.12} or in the East Asian population [for the bbj-a-117 dataset, ORIVW =1.09 (95% CI: 0.80-1.48), P=0.59; for the ebi-a-GCST90018621 dataset, ORIVW =0.11 (95% CI: 0.82-1.50), P=0.49]. Meta-analyses of the European population datasets and the Asian population datasets showed consistent results. Conclusions: The current MR analysis provides new genetic evidence for a null causal relationship between hot beverage temperature preference and EC, both in the European population and the East Asian population. Evidence to prevent EC by reducing the intake of hot beverages is insufficient.

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Infections with the coronavirus disease 2019 (COVID-19) and disorders of the heart and blood vessels are causally related. To ascertain the causal relationship between COVID-19 and cardiovascular disease (CVD), we carried out a Mendelian randomization (MR) study through a method known as inverse variance weighting (IVW). When analyzing multiple SNPs, MR can meta-aggregate the effects of multiple loci by using IVW meta-pooling method. The weighted median (WM) is the median of the distribution function obtained by ranking all individual SNP effect values according to their weights. WM yields robust estimates when at least 50% of the information originates from valid instrumental variables (IVs). Directed gene pleiotropy in the included IVs is permitted because MR-Egger does not require a regression straight line through the origin. For MR estimation, IVW, WM and MR-Egger were employed. Sensitivity analysis was conducted using funnel plots, Cochran's Q test, MR-Egger intercept test, MR-PRESSO, and leave-one-out analysis. SNPs related to exposure to COVID-19 and CVD were compiled. CVD for COVID-19 infection, COVID-19 laboratory/self-reported negative, and other very severe respiratory diagnosis and population were randomly assigned using MR. The COVID-19 laboratory/self-reported negative results and other very severe respiratory confirmed cases versus MR analysis of CVD in the population (p â€‹> â€‹0.05); COVID-19 infection to CVD (p â€‹= â€‹0.033, OR â€‹= â€‹1.001, 95%CI: 1.000-1.001); and the MR-Egger results indicated that COVID-19 infection was associated with CVD risk. This MR study provides preliminary evidence for the validity of the causal link between COVID-19 infection and CVD.

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Introduction: Several studies have reported associations between various autoimmune diseases and migraine. Using Mendelian randomization (MR), this study aimed to evaluate the interplay between autoimmune diseases and migraine. Methods: Here, instrumental variables, exposure factors, and outcome factors for 10 common autoimmune diseases and migraine and its subtypes were screened. This screening utilized comprehensive statistics from Europe's largest genome-wide association study and performed reverse MR analysis on positive results. The causality between autoimmune diseases and migraine was comprehensively assessed using multiple analytical methods. Additionally, sensitivity analyses, such as the horizontal diversity heterogeneity and leave-one-out method, were performed. Results: Random-effects inverse variance weighting analysis revealed a causal correlation between autoimmune hyperthyroidism and migraine (p = 0.0002), and this association was consistent across both migraine with aura (MA; p = 0.006) and migraine without aura (MO; p = 0.017). In addition, there was a positive causal association between systemic lupus erythematosus (SLE) and MA (p = 0.001) and between hypothyroidism and MO (p = 0.038). There is insufficient evidence to substantiate a causal link between outcomes and other autoimmune-related disorders, and reverse MR results did not reveal a causal relationship between migraines and these autoimmune disorders. The validity of the results was demonstrated by a sensitivity analysis; horizontal pleiotropy and heterogeneity were not observed. Discussion: This study observed a positive genetic association between autoimmune hyperthyroidism and migraines. In addition, SLE positively affects MA, and hypothyroidism contributes to the incidence of MO. These results have great significance for future research and prevention of migraine.

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Background: Keratoconus is a diseased corneal dilation of unknown etiology. Studies have shown that inflammation may play a role in keratoconus. Inflammatory enteritis (IBD), including ulcerative colitis (UC), is a chronic, systemic inflammatory disease. We used Mendelian randomization to assess the causal relationship among IBD, UC and keratoconus. Methods: The instrumental variable of IBD and UC was selected, the information of the instrumental variable in keratoconus outcome was extracted, and the causal relationship was assessed by the inverse variance weighted method by primary analysis, and its relevant sensitivity analysis. Results: A causal relationship between IBD and keratoconus was observed significantly (P = 0.017, OR = 1.21, 95% CI = 1.03-1.41), and same as to UC and keratoconus (P = 0.038, OR = 1.25, 95% CI = 1.01-1.54). Conclusion: IBD may play a causal role in the development of keratoconus, but the mechanism needs to be further elucidated.

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Background: Different dietary habits can have varying effects on human health and metabolism, and these can be intervened and regulated. Kidney stones, as a disease caused by multiple factors, are largely attributed to diet and metabolism, but the potential causal relationship with dietary intake habits remains unclear. Therefore, this study aims to link the predicted dietary intake based on 45 genetic factors with urolithiasis and explore the potential causal relationship. Methods: We extracted complete genome-wide association studies (GWASs) data on 45 dietary intake traits from the UK Biobank study. Data on kidney stones were obtained from the FinnGen database. In both univariable and multivariable Mendelian randomization analyses, we used inverse variance weighted (IVW) as the primary method to calculate P values, odds ratios (ORs), and 95% confidence intervals (CIs). We examined result heterogeneity using Cochran's Q test. We also carefully investigated potential sources of horizontal pleiotropy using the Mendelian randomization (MR)-PRESSO and MR-Egger methods, and conducted linkage disequilibrium score regression (LDSC) analysis on the corrected P values. Results: Through univariable analysis, we identified 11 dietary habits that potentially causally associate with kidney stones among the 45 examined traits, including 9 protective factors and 2 risk factors. Based on the corrected results with false discovery rate (FDR) and sensitivity analysis, we found one relatively robust evidence. We controlled for common stone risk factors, such as body mass index and smoking, as confounders in multivariable analysis, and no significant results were observed after controlling for these confounders. Based on the LDSC analysis, most of the evidence supports significant genetic correlations with urolithiasis among the 11 traits with potential causal associations. Conclusions: This study confirms the impact of certain dietary factors on the development of kidney stones. Our findings contribute to providing evidence for dietary adjustments in daily life or dietary guidance specifically targeting kidney stone patients.

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Background: Observational studies have shown that heart rate (HR), heart rate variability (HRV), P-wave terminal force, P-wave duration, T-wave amplitude and PR interval are associated with risk factors for atrial fibrillation (AF) or bradycardia. Arrhythmias are associated with many causes of hospitalization. However, observational studies are susceptible to confounding factors that have not yet been identified. The objective of this study was to clarify the causal relationships by Mendelian randomization analysis. Methods: We conducted a two-sample and multivariate Mendelian randomization (MVMR) analysis using genome-wide association study (GWAS) data from a European population to assess the total and direct causal effects of HR, three HRV traits, P-wave terminal force, P-wave duration, T-wave top amplitude in five-lead modes, and the PR interval on the risk of AF (N=191,205), bradycardia (N=463,010), and supraventricular tachycardia (SVT) (N=463,010). Results: The results of the univariate MR analysis revealed the following significant causal effects: the higher the genetically predicted PR interval, the lower the risk of AF; the higher the HR and T-wave top amplitude (aVR leads and V3 + V4 + aVL leads), the lower the risk of bradycardia; and the higher HR and the lower PR interval, the higher the risk of SVT. The multivariate MR results indicated that the HRV_standard deviation of the normal-to-normal (SDNN) interval had an independent causal effect on the risk of AF [odds ratio (OR): 0.515; 95% confidence interval (CI): 0.278-0.954; P=0.03], and the T-wave top amplitude in the aVR leads (OR: 0.998; 95% CI: 0.996-0.999; P<0.001) and the HRV_SDNN (OR: 0.988; 95% CI: 0.976-1.000; P=0.045) had independent causal effects on the risk of bradycardia. Conclusions: The HRV_SDNN had an independent causal effect on AF, while the HRV_SDNN and T-wave top amplitude in the aVR leads had independent causal effects on bradycardia, which suggests that some of the electrocardiographic parameters have preventive effects on the incidence of AF and bradycardia.

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Hypertrophic scar (HS) results from burns or trauma, causing aesthetic and functional issues. However, observational studies have linked inflammatory cytokines to HS, but the causal pathways involved are unclear. We aimed to determine how circulating inflammatory cytokines contribute to HS formation. Two-sample Mendelian randomization (MR) was used to identify genetic variants associated with hypertrophic scar in a comprehensive, publicly available genome-wide association study (GWAS) involving 766 patients and 207,482 controls of European descent. Additionally, data on 91 plasma proteins were drawn from a GWAS summary involving 14,824 healthy participants. Causal relationships between exposures and outcomes were investigated primarily using the inverse variance weighted (IVW) method. Furthermore, a suite of sensitivity analyses, including MR‒Egger and weighted median approaches, were concurrently employed to fortify the robustness of the conclusive findings. Finally, reverse MR analysis was conducted to evaluate the plausibility of reverse causation between hypertrophic scar and the cytokines identified in our study. In inflammatory cytokines, there was evidence of inverse associations of osteoprotegerin(OPG) levels(OR = 0.59, 95% CI = 0.41 ∼ 0.85, p = 0.01), and leukemia inhibitory factor(LIF) levels(OR = 0.51, 95% CI = 0.32 ∼ 0.82, p = 0.01) are a nominally negative association with hypertrophic scar risk, while CUB domain-domain-containing protein 1(CDCP1) level(OR = 0.59, 95% CI = 0.41 ∼ 0.85, p = 0.01) glial cell line-derived neurotrophic factor(GDNF) levels(OR = 1.42, 95% CI = 1.03 ∼ 1.96, p = 0.01) and programmed cell death 1 ligand 1(PD-L1) levels(OR = 1.47, 95% CI = 1.92 ∼ 2.11, p = 0.04) showed a positive association with hypertrophic scar risk. These associations were similar in the sensitivity analyses. According to our MR findings, OPG and LIF have a protective effect on hypertrophic scar, while CDCP1, GDNF, and PD-L1 have a risk-increasing effect on Hypertrophic scar. Our study adds to the current knowledge on the role of specific inflammatory biomarker pathways in hypertrophic scar. Further validation is needed to assess the potential of these cytokines as pharmacological or lifestyle targets for hypertrophic scar prevention and treatment.

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Despite observational studies suggesting a link between psoriatic disease (including psoriasis and psoriatic arthritis) and migraine, it is unclear whether there is a shared genetic etiology or a causal relationship between the two conditions. We aimed to reveal the genetic overlap and causality using the Mendelian randomization (MR) framework. The genetic analysis utilized summary data from the most extensive European genome-wide association study (GWAS) of migraine. Well-powered psoriatic disease GWAS data were obtained from two independent cohort studies, which served as discovery and validation datasets. Global and regional genetic correlations between psoriatic disease and migraine were assessed, and pleiotropic regions identified by pairwise GWAS analysis were further annotated. We further applied a two-sample MR multivariate MR to investigate the potential causal relationship between them. The global genetic correlation test indicated weak correlations between psoriatic disease and migraine, while regional correlation analyses delineated one significant shared locus between psoriasis and migraine. Pathway enrichment analysis revealed that shared genes were involved biological processes to the major histocompatibility and antigen processing and presentation. In terms of causality estimates, genetically predicted psoriasis (Pmeta = 0.003) and psoriatic arthritis (Pmeta = 0.028) were associated with an increased risk of migraine. Multivariate MR analysis indicated that psoriasis was an independent risk factor for migraine (P < 0.05). No significant associations were found in the reverse direction. Our study supported the causal role of psoriasis on migraine, and the central role for immunomodulatory etiology. These findings have significant implications for the management of migraine and clinical practice in patients with psoriasis.

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