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Cannabis use disorder (CanUD) has increased with the legalization of the use of cannabis. Around 20% of individuals using cannabis develop CanUD, and the number of users has grown with increasing ease of access. CanUD and other substance use disorders (SUDs) are associated phenotypically and genetically. We leveraged new CanUD genomics data to undertake genetically-informed analyses with unprecedented power, to investigate the genetic architecture and causal relationships between CanUD and lifetime cannabis use with risk for developing SUDs and substance use traits. Analyses included calculating local and global genetic correlations, genomic structural equation modeling (genomicSEM), and Mendelian Randomization (MR). Results from the genetic correlation and genomicSEM analyses demonstrated that CanUD and cannabis use differ in their relationships with SUDs and substance use traits. We found significant causal effects of CanUD influencing all the analyzed traits: opioid use disorder (OUD) (Inverse variant weighted, IVW β = 0.925 ± 0.082), problematic alcohol use (PAU) (IVW β = 0.443 ± 0.030), drinks per week (DPW) (IVW β = 0.182 ± 0.025), Fagerström Test for Nicotine Dependence (FTND) (IVW β = 0.183 ± 0.052), cigarettes per day (IVW β = 0.150 ± 0.045), current versus former smokers (IVW β = 0.178 ± 0.052), and smoking initiation (IVW β = 0.405 ± 0.042). We also found evidence of bidirectionality showing that OUD, PAU, smoking initiation, smoking cessation, and DPW all increase risk of developing CanUD. For cannabis use, bidirectional relationships were inferred with PAU, smoking initiation, and DPW; cannabis use was also associated with a higher risk of developing OUD (IVW β = 0.785 ± 0.266). GenomicSEM confirmed that CanUD and cannabis use load onto different genetic factors. We conclude that CanUD and cannabis use can increase the risk of developing other SUDs. This has substantial public health implications; the move towards legalization of cannabis use may be expected to increase other kinds of problematic substance use. These harmful outcomes are in addition to the medical harms associated directly with CanUD.

Increased left atrial volume and decreased left atrial function have long been associated with atrial fibrillation. The availability of large-scale cardiac magnetic resonance imaging data paired with genetic data provides a unique opportunity to assess the genetic contributions to left atrial structure and function, and understand their relationship with risk for atrial fibrillation. Here, we use deep learning and surface reconstruction models to measure left atrial minimum volume, maximum volume, stroke volume, and emptying fraction in 40,558 UK Biobank participants. In a genome-wide association study of 35,049 participants without pre-existing cardiovascular disease, we identify 20 common genetic loci associated with left atrial structure and function. We find that polygenic contributions to increased left atrial volume are associated with atrial fibrillation and its downstream consequences, including stroke. Through Mendelian randomization, we find evidence supporting a causal role for left atrial enlargement and dysfunction on atrial fibrillation risk.

Previous research has found that milk is associated with a decreased risk of colorectal cancer (CRC). However, it is unclear whether the milk digestion by the enzyme lactase-phlorizin hydrolase (LPH) plays a role in CRC susceptibility. Our study aims to investigate the direct causal relationship of CRC risk with LPH levels by applying a two-sample Mendelian Randomization (MR) strategy. Genetic instruments for LPH were derived from the Fenland Study, and CRC-associated summary statistics for these instruments were extracted from the FinnGen Study, PLCO Atlas Project, and Pan-UK Biobank. Primary MR analyses focused on a cis-variant (rs4988235) for LPH levels, with results integrated via meta-analysis. MR analyses using all variants were also undertaken. This analytical approach was further extended to assess CRC subtypes (colon and rectal). Meta-analysis across the three datasets illustrated an inverse association between genetically predicted LPH levels and CRC risk (OR: 0.92 [95% CI, 0.89-0.95]). Subtype analyses revealed associations of elevated LPH levels with reduced risks for both colon (OR: 0.92 [95% CI, 0.89-0.96]) and rectal cancer (OR: 0.92 [95% CI, 0.87, 0.98]). Consistency was observed across varied analytical methods and datasets. Further exploration is warranted to unveil the underlying mechanisms and validate LPHs potential role in CRC prevention.

We assessed the causal relation of four glycemic traits and type 2 diabetes liability with 167 metabolites using Mendelian randomization with various sensitivity analyses and a reverse Mendelian randomization analysis. We extracted instruments for fasting glucose, 2-h glucose, fasting insulin, and glycated hemoglobin from the Meta-Analyses of Glucose and Insulin-related traits Consortium (n = 200,622), and those for type 2 diabetes liability from a meta-analysis of multiple cohorts (148,726 cases, 965,732 controls) in Europeans. Outcome data were from summary statistics of 167 metabolites from the UK Biobank (n = 115,078). Fasting glucose and 2-h glucose were not associated with any metabolite. Higher glycated hemoglobin was associated with higher free cholesterol in small low-density lipoprotein. Type 2 diabetes liability and fasting insulin were inversely associated with apolipoprotein A1, total cholines, lipoprotein subfractions in high-density-lipoprotein and intermediate-density lipoproteins, and positively associated with aromatic amino acids. These findings indicate hyperglycemia-independent patterns and highlight the role of insulin in type 2 diabetes development. Further studies should evaluate these glycemic traits in type 2 diabetes diagnosis and clinical management.

microRNAs (miRNAs) have a broad influence on gene expression; however, we have limited insights into their contribution to rate of cognitive decline over time or Alzheimer's disease (AD). Given this, we tested associations of 528 miRNAs with cognitive trajectory, AD hallmark pathologies, and AD clinical diagnosis using small RNA sequencing from the dorsolateral prefrontal cortex of 641 community-based donors. We found 311 miRNAs differentially expressed in AD or its endophenotypes after adjusting for technical and sociodemographic variables. Among these, 137 miRNAs remained differentially expressed after additionally adjusting for several co-occurring age-related cerebral pathologies, suggesting that some miRNAs are associated with the traits through co-occurring pathologies while others through mechanisms independent from pathologies. Pathway enrichment analysis of downstream targets of these differentially expressed miRNAs found enrichment in transcription, postsynaptic signalling, cellular senescence, and lipoproteins. In sex-stratified analyses, five miRNAs showed sex-biased differential expression for one or more AD endophenotypes, highlighting the role that sex has in AD. Lastly, we used Mendelian randomization to test whether the identified differentially expressed miRNAs contribute to the cause or are the consequence of the traits. Remarkably, 15 differentially expressed miRNAs had evidence consistent with a causal role, laying the groundwork for future mechanistic studies of miRNAs in AD and its endophenotypes.

Background: Anoikis is intricately associated with the malignant progression of cancer. Thyroid cancer (THCA) is the most common endocrine tumor, metastasis is closely related to treatment response and prognosis of THCA. Hence, it is imperative to comprehensively identify predictive prognostic genes and novel molecular targets for effective THCA therapy. Methods: Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were utilized to mine differentially expressed anoikis-related (DE-ARGs). Then, the prognostic genes were identified and a risk signature was constructed for THCA using univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) method. Furthermore, the associations between risk signature and immune infiltration, immunotherapy, as well as potential mechanisms of action were determined using multiple R packages and Wilcoxon test. Finally, Mendelian randomized (MR) analysis was conducted to investigate the causal relationship between the prognostic genes and THCA. Results: In total, six prognostic genes (LRRC75A, METTL7B, ADRA1B, TPD52L1, TNFRSF10C, and CXCL8) related to anoikis were identified, and the corresponding risk signature were constructed to assess the survival time of THCA patients. Immunocorrelation analysis demonstrated the anoikis-relevant risk signature could be used to evaluate immunotherapy effects in THCA patients, and the infiltration of immune cells was correlated with the degree of risk in THCA patients. According to two-sample MR analysis, there was the significant causal relationship between CXCL8 and THCA (odds ratio [OR] > 1 & p< 0.05), and the increase of its gene expression would lead to an increased risk of THCA. Furthermore, real-time quantitative polymerase chain reaction (RT-qPCR) confirmed the upregulated expression patterns of these prognostic genes in THCA tissues. Conclusion: In conclusion, we constructed the risk signature related to anoikis for THCA, which might have important clinical significance for improving the quality of life and treatment effect of THCA patients. [ABSTRACT FROM AUTHOR]

Background: Benign prostatic hyperplasia (BPH) is a common chronic condition in elderly men. Observational studies have identified several comorbidities associated with BPH. However, these studies are limited by various confounding factors and do not clearly explain the association between BPH and its comorbidities. We investigated the association between BPH and comorbidities using the Global Burden of Disease (GBD) database combined with Mendelian randomization (MR) methods. Methods: Through an extensive PubMed search, we identified 22 diseases associated with BPH and selected 9 significant comorbidities from the GBD database for a detailed correlation analysis. We also considered socio-economic and environmental influences on BPH. Utilizing the GWAS database, we gathered data on BPH and 20 comorbidities, employing the Linkage Disequilibrium Score Regression (LDSC) method to unearth genetic connections. Causality was determined through both univariable and multivariable bidirectional MR analyses, supplemented by Steiger directionality tests to confirm causation. The study's integrity was fortified by employing various MR models and conducting rigorous sensitivity analyses. The synthesis of GBD data with LDSC and MR findings offered a nuanced understanding of the BPH-comorbidity nexus. Additionally, we explored the genetic basis and the role of mediating factors between BPH and comorbidities through phenome-wide association studies (PheWAS), colocalization analysis, and mediation MR. Results: Correlation analysis of GBD data found associations of prostate cancer, chronic kidney disease and depression with BPH. LDSC results indicated that prostatitis and bladder cancer are related to BPH. Two associations were replicated in bidirectional univariable MR, linking BPH with a higher risk of prostatitis and prostate cancer. conducted sensitivity analyses to confirm the robustness of the results and all Steiger directionality tests were correct. Multiple multivariable MR models validated these results. PheWAS analysis showed that outliers in MR do not significantly impact MR results. Through colocalization analysis, three shared loci between BPH and both prostatitis and prostate cancer were identified. Mediation analysis found that, after adjusting for BPH, fruit consumption was associated with a lower risk of prostatitis, and morning person and chronotype were associated with a lower risk of prostate cancer. Conclusions: This study uncovered associations between BPH and various comorbidities, emphasizing the causal relationships between BPH, prostatitis, and prostate cancer. Our research provides a new perspective in understanding the comorbid associations of BPH. [ABSTRACT FROM AUTHOR]

Objective: Stroke risk factors often exert long-term effects, and Mendelian randomization (MR) offers significant advantages over traditional observational studies in evaluating the causal impact of these factors on stroke. This study aims to consolidate and evaluate the relationships between potential causal factors and stroke risk, drawing upon existing MR research. Methods: A comprehensive search for MR studies related to stroke was conducted up to August 2023 using databases such as PubMed, Web of Science, Embase, and Scopus. This meta-analysis examines the relationships between potential causative factors and stroke risk. Both random-effects and fixed-effects models were utilized to compile the dominance ratios of various causative elements linked to stroke. The reliability of the included studies was assessed according to the Strengthening the Reporting of Observational Studies in Epidemiology incorporating Mendelian Randomization (STROBE-MR) guidelines. Results: The analysis identified several risk factors for stroke, including obesity, hypertension, low-density lipoprotein cholesterol (LDL-C), chronic kidney disease (CKD), and smoking. Protective factors included high-density lipoprotein cholesterol (HDL-C), estimated glomerular filtration rate (eGFR), and educational attainment. Subgroup analysis revealed that type 2 diabetes mellitus (T2DM), diastolic blood pressure (DBP) are risk factors for ischemic stroke (IS). Conclusion: This study confirms that variables such as obesity, hypertension, elevated LDL-C levels, CKD, and smoking are significantly linked to the development of stroke. Our findings provide new insights into genetic susceptibility and potential biological pathways involved in stroke development. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO , identifier CRD42024503049. [ABSTRACT FROM AUTHOR]

Background: This study employed a bidirectional Mendelian Randomization (MR) approach to explore the causal relationships between Oral Lichen Planus (OLP), diabetes mellitus (DM), and glycemic control. It also aims to identify potential pharmacological and herbal treatments that effectively address both OLP and the metabolic dysfunctions associated with DM. Methods: This study employs a two-way MR approach to investigate the potential causal relationships between diabetes type and glycated hemoglobin (HbA1c) levels, and the risk of OLP. We analyzed differentially expressed genes from the OLP dataset in the Genomics Expression Omnibus (GEO) database, cross-referencing these with HbA1c-related genes for enrichment analysis. Additionally, the Drug-Gene Interaction Database (DGIdb) and Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) were utilized to assess the effectiveness of specific drugs, herbs, and ingredients in treating OLP while managing blood glucose levels. Results: The MR analysis revealed a significant association between Type 1 Diabetes mellitus (T1DM) and an increased risk of OLP, unlike Type 2 Diabetes mellitus (T2DM). This finding indicates a unique immunological interaction in T1DM that may predispose individuals to OLP. The drug prediction analysis focused on core targets linked to OLP and HbA1c, evaluating the therapeutic potential of retinoic acid, prednisone, and thalidomide for treating OLP and regulating blood glucose levels. Additionally, herbal medicines such as Ecliptae herbaand Amygdalus communis vas, along with herbal ingredients like quercetin, luteolin, and 17-beta-estradiol, were identified for their anti-inflammatory properties and potential to mitigate metabolic dysfunction in diabetes. Conclusion: The study highlighted a complex interplay between diabetes and OLP, underscoring the efficacy of integrated therapeutic strategies that target both conditions. The findings suggest that both pharmaceutical and herbal treatments can effectively manage the clinical manifestations of OLP and associated metabolic challenges. This holistic approach to treatment could significantly enhance patient outcomes by addressing the interconnected aspects of these chronic conditions. [ABSTRACT FROM AUTHOR]

Background: Growing evidence suggests that depression affects gastroesophageal reflux disease (GERD). But, the relationship between depression and GERD is unclear. To examine the relationship between depression and the risk of GERD, as well as the mediating role of risk factors. Methods: We found genetic variants associated with GERD (N = 78,707) and depression (N = 500,199 (excluding 23 and Me) from the largest genome-wide association study and we applied two-sample Mendelian randomization (MR) to find out if they are related. We further used two-step MR to find the mediating factors. Results: The results found a causal link between depression and GERD, inverse-variance weighted (IVW), risk OR 2.149 (95% CI, 1.910 to 2.418; P <0.001). F-statistics for all instrumental variables (IVs) were greater than 10. Multivariate MR maintained the significance of the depression-GERD link even after adjusting for body mass index (BMI), waist-to-hip ratio (WHR), and educational attainment (EA). Mediation analysis revealed that increased depression is associated with lower EA (OR = 0.94; 95% CI, 0.89 to 0.99; P = 0.03), while EA itself significantly impacts GERD risk (OR = 0.25; 95% CI, 0.18 to 0.34; P = 8.24 × 10-9). Ultimately, EA mediates the effect of depression on GERD (OR = 1.09; 95% CI, 1.01 to 1.18; P = 0.04), accounting for 11.4% of the mediated effect. Conclusions: Depression is associated with an increased risk of developing GERD, with some of the effects mediated by EA. This result may provide important information for the prevention and intervention of depression and GERD. [ABSTRACT FROM AUTHOR]

ABSTRACT Introduction Objectives Methods Results Conclusion Observational studies have shown a bidirectional association between gastroesophageal reflux (GER) and chronic rhinosinusitis (CRS) or chronic rhinitis (CR), but it is not clear whether this association is causal.This study was to investigate the causality between GER and CRS or CR using bidirectional two‐sample Mendelian randomization (MR) analysis.Using pooled data from large genome‐wide association studies (GWAS), genetic loci independently associated with GER, CRS and CR in populations of European and American ancestry were selected as instrumental variables (IVs). The inverse variance weighted (IVW) method was used to analyse the random effects model of MR, and the odds ratio (OR) was used as the evaluation index to explore the bidirectional causality between GER and CRS or CR. Single nucleotide polymorphism (SNP) outliers were detected using MR‐pleiotropy Residual Sum and Outliers (MR‐PRESSO). The MR–Egger intercept test examined the horizontal pleiotropy of SNPs. The “leave‐one‐out” sensitivity analysis examined whether MR results were affected by a single SNP.The main results of IVW showed that GER increased the risk of CRS (OR = 1.3795, 95% CI = 1.188–1.603, p < 0.0500) and CR (OR = 1.3941, 95% CI = 1.1671–1.6652, p < 0.0500). The obtained SNPs as IVs for GER, CRS and CR had no significant horizontal pleiotropy, heterogeneity or bias. Regarding the reverse directions, no notable associations could be found.This MR analysis revealed that genetically predicted GER had a causal effect on an increased risk of CRS or CR, but not vice versa. These results have great implications for the management of CRS (especially for refractory CRS) or CR in clinical practice. [ABSTRACT FROM AUTHOR]

The effects of androgens on women's bone health are not fully understood. Mendelian randomization (MR) studies using sex-combined data suggest that sex hormone-binding globulin (SHBG) and bioavailable testosterone (BioT) causally affect bone traits. Given significant sex differences in hormone regulation and effects, female-specific MR studies are necessary. In the current study, we explored the causal relationships of SHBG, BioT, and total testosterone (TT) with forearm fracture (FAFx) risk in women using two-sample MR analyses. We utilized a unique female-specific FAFx outcome dataset from three European biobanks (UFO, HUNT, Estonian Biobank) comprising 111,351 women and 8823 FAFx cases, along with female-specific genetic instruments of SHBG, BioT, and TT identified in the UK Biobank. We also assessed bone mineral density (BMD) at the forearm (FA), femoral neck (FN), and lumbar spine (LS) using female-specific GWAS data from the GEFOS consortium. High SHBG (odds ratio per standard deviation increase (OR/SD): 1.53, 95% confidence intervals (CIs): 1.34–1.75), low BioT (OR/SD: 0.77, 0.71–0.84) and low TT (OR/SD 0.90, 0.83–0.98) were causally associated with increased FAFx risk. BioT was positively, and SHBG inversely, causally associated with especially FA-BMD, but also LS-BMD and FN-BMD, while TT was only significantly positively associated with FA-BMD and LS-BMD. We propose that endogenous androgens and SHBG are important for women's bone health at distal trabecular-rich bone sites such as the distal forearm and may serve as predictors for FAFx risk. [ABSTRACT FROM AUTHOR]

Hearing loss(HL) represents a significant public health concern. This study aimed to determine the association between hearing loss and gout and to elucidate the underlying causative mechanisms. Data for this study were obtained from the National Health and Nutrition Examination Survey (NHANES) and Mendelian randomization (MR) basic databases. Initially, baseline characteristics of individuals with and without gout were compared. A nonlinear relationship between pure tone audiometry (PTA) values and gout prevalence was confirmed through restricted cubic spline (RCS) curve analysis. Subsequently, hearing loss was categorized into different levels based on PTA values, and multiple logistic regression analysis was employed to calculate the impact of varying degrees of hearing loss on the risk of gout. Finally, MR analysis was conducted to further elucidate the causal relationship between hearing loss and gout. A total of 3,258 individuals were included in this study, with a gout prevalence of 3.7%. Significant differences were observed between the gout group and the non-gout group in variables such as age, gender, blood uric acid level, BMI, hypertension, and diabetes. RCS curve analysis revealed a significant nonlinear relationship between PTA values and gout risk, particularly when PTA values exceed a specific threshold, where the curve flattens. Based on different levels of hearing loss derived from PTA values, multiple logistic regression analysis demonstrated that mild and moderate hearing loss significantly increased the risk of gout, remaining statistically significant after adjusting for covariates (odds ratio (OR) = 2.10–3.48, P < 0.05). MR analysis further confirmed the causal relationship between hearing loss and gout. Inverse variance weighting (IVW) was employed as the primary method, revealing that both individuals with hearing difficulties (OR = 0.98, 95% confidence interval (CI) 0.96–0.999, P = 0.012) and those without hearing impairment (OR = 1.02, 95% CI 1.01–1.04, P = 0.012) exhibited a significant causal relationship with gout. Goodness-of-fit tests and sensitivity analyses were used to verify the reliability of the results. Hearing loss has a significant causal relationship with an increased risk of gout, providing a new perspective for the prevention and management of gout. Focused attention and prompt treatment of hearing loss, particularly mild and moderate hearing loss, may significantly reduce the risk of developing gout. [ABSTRACT FROM AUTHOR]

Background: Previous studies have reported associations between fatty acids and the risk of pre-eclampsia. However, the causality of these associations remains uncertain. This study postulates a causal relationship between specific plasma fatty acids and pre-eclampsia or other maternal hypertensive disorders (PE-HTPs). To test this hypothesis, two-sample bidirectional Mendelian randomization (MR) analyses were employed to determine the causality effects. Methods: Single-nucleotide polymorphisms associated with PE-HTPs and fatty acids were obtained from a genome-wide association study (GWAS) of European ancestry. Bidirectional MR analyses were conducted using methods such as inverse variance weighted, MR-Egger, weighted median, simple mode, and weighted mode. Sensitivity analyses, including tests for heterogeneity, horizontal pleiotropy, and co-localization, were conducted to assess the robustness of MR results. Results: The analyses revealed causal relationships between PE-HTPs and several fatty acids, including monounsaturated fatty acid (MUFA), omega-6 fatty acid (n-6 FA), linoleic acid (LA), docosahexaenoic acid (DHA), and the PUFA/MUFA ratio. Genetically predicted higher risk of PE-HTPs was significantly associated with lower plasma n-6 FA (OR = 0.96, 95% CI: 0.93–0.99), particularly LA (OR = 0.95, 95% CI: 0.92–0.98). Conversely, increased DHA (OR = 0.86, 95% CI: 0.78–0.96) and a higher PUFA/MUFA ratio (OR = 0.86, 95% CI: 0.76–0.98) were associated with a reduced risk of PE-HTPs. Elevated MUFA levels (OR = 1.12, 95% CI: 1.00–1.25) were related to an increased risk. Conclusions: This study provides robust genetic evidence supporting bidirectional causal relationships between PE-HTPs and specific plasma fatty acids, underscoring the critical role of fatty acid metabolism in maternal hypertensive disorders. [ABSTRACT FROM AUTHOR]

Objective: A growing body of research suggests a link between varicocele and male infertility (MI). However, current evidence is mainly based on retrospective studies, which are prone to interference from confounding factors and cannot establish causal relationships. Mendelian randomization (MR) studies on the causal relationship between varicocele and MI are very limited. Therefore, this study conducted a two-sample MR study to elucidate the causal effect between the two. Methods: Download the data set GSE216907 from the GEO database, and use R software to screen differential genes in normal and varicocele tissue samples. The drug targets of Bu Shen Huo Xue Prescription (BSHXP) were derived from the Herb database. All genetic datasets were obtained using publicly available summary statistics based on individuals of European ancestry from the IEU GWAS database. MR analysis was performed using MR Egger, weighted median (WM) and inverse variance weighted (IVW) methods to assess the causal relationship between exposure and outcome and to validate the findings by comprehensively evaluating the effects of pleiotropic effects and outliers. The renal vein constriction method was used to establish a pathological model of varicocele infertility. The drug was administered continuously for 60 days and the relevant indicators of the rats were observed. Results: Obtain two therapeutic targets for varicocele through intersection analysis: MEGF9 and MLLT11, and were verified by molecular docking. MR analysis showed that MEGF9 was positively associated with MI (MR Egger, OR: 1.639, 95% CI: 1.124-2.391, P = 0.024; WM, OR: 1.235, 95% CI: 1.003-1.521, P = 0.047). MEGF9 is also positively associated with MI (IVW, OR: 1.35, 95% CI: 1.069- 1.705, P = 0.012). Sensitivity analysis showed no heterogeneity and horizontal pleiotropy. The expression of MEGF9 and MLLT11 increased in the varicocele model group, while the expression decreased after treatment with low, medium, and high doses of BSHXP. In addition, the sperm number, motility, morphology, and fertility of rats in the model group were significantly lower than those in the control group (P<0.05). After BSHXP treatment, all indicators were significantly better than those of the model group (P<0.05). Conclusion: In conclusion, this study indirectly supports that varicocele causes MI. BSHXP inhibiting MEGF9 and MLLT11 may become a potential therapeutic target for alleviating varicocele and MI. [ABSTRACT FROM AUTHOR]

Introduction: The complex and unresolved pathogenesis of schizophrenia has posed significant challenges to its diagnosis and treatment. While recent research has established a clear association between immune function and schizophrenia, the causal relationship between the two remains elusive. Methods: We employed a bidirectional two-sample Mendelian randomization approach to investigate the causal relationship between schizophrenia and 731 immune cell traits by utilizing public GWAS data. We further validated the causal relationship between schizophrenia and six types of white cell measures. Results: We found the overall causal effects of schizophrenia on immune cell traits were significantly higher than the reverse ones (0.011 ± 0.049 vs 0.001 ± 0.016, p < 0.001), implying that disease may lead to an increase in immune cells by itself. We also identified four immune cell traits that may increase the risk of schizophrenia: CD11c+ monocyte %monocyte (odds ratio (OR): 1.06, 95% confidence interval (CI): 1.03~1.09, FDR = 0.027), CD11c+ CD62L-monocyte %monocyte (OR:1.06, 95% CI: 1.03~1.09, FDR = 0.027), CD25 on IgD+ CD38-naive B cell (OR:1.03, 95% CI:1.01~1.06, FDR = 0.042), and CD86 on monocyte (OR = 1.04, 95% CI:1.01~1.06, FDR = 0.042). However, we did not detect any significant causal effects of schizophrenia on immune cell traits. Using the white blood cell traits data, we identified that schizophrenia increases the lymphocyte counts (OR:1.03, 95%CI: 1.01-1.04, FDR = 0.007), total white blood cell counts (OR:1.02, 95%CI: 1.01-1.04, FDR = 0.021) and monocyte counts (OR:1.02, 95%CI: 1.00-1.03, FDR = 0.034). The lymphocyte counts were nominally associated with the risk of schizophrenia (OR:1.08,95%CI:1.01-1.16, P=0.019). Discussion: Our study found that the causal relationship between schizophrenia and the immune system is complex, enhancing our understanding of the role of immune regulation in the development of this disorder. These findings offer new insights for exploring diagnostic and therapeutic options for schizophrenia. [ABSTRACT FROM AUTHOR]

Copper is an essential trace element obtained from food. There is a paucity of observational or prospective studies that have investigated the relationship between copper and melanoma risk. Copper serves as a cofactor for pivotal enzymes involved in mitochondrial respiration, antioxidant defense, and neurotransmitter synthesis. Undoubtedly, copper plays an indispensable role in the initiation and progression of tumors, particularly melanoma; however, further investigations are warranted to elucidate the underlying mechanisms linking copper and melanoma risk. Given the availability of dietary copper and serum copper data in the NHANES database, we conducted an investigation into the association between dietary copper intake and serum copper levels with melanoma risk. We enrolled 26,401 individuals with dietary copper data in the 2007–2018 NHANES database. To mitigate confounding variables, a propensity score matching (PSM) was performed. To assess the association between dietary copper intake and melanoma risk, we employed a multivariate logistic regression analysis before and after PSM. The restricted cubic spline analysis was utilized to determine whether there is a non-linear relationship between dietary copper intake and melanoma risk, with subgroup analysis conducted to determine beneficiaries. Then, those with blood copper data from the enrolled population with dietary copper intake were screened out, and subsequently, multivariate logistic regression models were subsequently constructed to investigate the association between serum copper levels and melanoma risk after PSM. Mendelian analysis was further utilized to validate the results of the NHANES database using serum copper as the exposure factor and melanoma as the outcome variable. The study found that melanoma risk was associated with dietary copper intake before and after PSM, demonstrated by multiple logistic regression. The relationship between dietary copper intake and melanoma risk was non-linear, with a reduced risk observed above approximately 2.5 mg/day, as shown by the RCS. The evidence suggests that an increased intake of copper is linked to a decreased risk of melanoma. To clarify the mechanism behind the increased risk of melanoma due to higher dietary copper intake, we analyzed the population data from the NHANES database on serum copper and dietary copper intake. Our results indicated that there is no causal relationship between serum copper and melanoma risk. Mendelian randomization analysis of multi-database data sources confirmed the conclusion of the NHANES database analysis. Dietary copper is a protective factor against melanoma, and serum copper or blood copper is not associated with melanoma risk. This suggests that serum or blood copper is not responsible for the protective effect of dietary copper intake on melanoma risk, and the mechanisms need to be further investigated. [ABSTRACT FROM AUTHOR]

Objectives: Recurrence or tumor metastasis and drug resistance remain the major challenge in the treatment of thyroid cancer. It is needed to identify novel drug targets for thyroid cancer. Methods: Summary data-based Mendelian randomization (SMR) and colocalization analysis were performed to evaluate the associations between gene methylation, expression, protein levels with thyroid cancer. We additionally performed protein-protein interaction (PPI) network, gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) analyses to further explore the potential roles of identified genes in thyroid cancer. Results: SDCCAG8 and VCAM1 genes were associated with risk of thyroid cancer with tier 1 evidence, while TCN2 gene was with tier 3 evidence. SDCCAG8 gene was associated with risk of papillary thyroid cancer with tier 1 evidence. At the level of circulating proteins, genetically predicted higher levels of SDCCAG8 (OR = 0.46, 95% CI 0.34–0.64) and VCAM1 (OR = 0.21, 95% CI 0.10–0.45) were inversely associated with thyroid cancer risk; higher level of TCN2 was associated with an increased risk of thyroid cancer (OR = 1.30, 95% CI 1.15–1.47); and the higher level of SDCCAG8 (OR = 0.40, 95% CI 0.28–0.58) was associated with a decreased risk of papillary thyroid cancer. The bioinformatics analysis showed that SDCCAG8, VCAM1 and TCN2 might play roles in immune-related pathways. Conclusion: SDCCAG8, VCAM1 and TCN2 genes were associated with thyroid cancer risk with evidence at multi-omics levels. There were potential roles of SDCCAG8, VCAM1 and TCN2 in immune-related pathways. Our findings might improve the understanding of the pathogenesis of thyroid cancer and discovery of novel potential drug targets for this disease. [ABSTRACT FROM AUTHOR]

Background: Hypothyroidism and coronary heart disease are both common diseases in life and both are increasing in prevalence. Many studies have found a strong association between the two. However, they have not been able to prove a causal relationship. Furthermore, numerous studies have demonstrated that glycemic traits play a role in both. Consequently, the objective of this study was to ascertain the causal estimation of the association between hypothyroidism and coronary heart disease and to quantify the potential mediating role of glycemic traits in this relationship. Methods: We used two-sample Mendelian randomisation (UVMR) to explore causality between hypothyroidism and coronary heart disease. Additionally, multivariate Mendelian randomisation (MVMR) was applied to quantify the potential mediation of glycemic traits in this relationship. A variety of Mendelian randomization methods were employed in this study, including the inverse variance weighting (IVW) method, weighted median method, and MREgger test. Heterogeneity and horizontal pleiotropy were evaluated through MREgger intercept test, Cochran's Q test, and leave-one-out analysis to ensure the robustness of the study results. Results: The results of the MR analyses indicated that hypothyroidism was associated with an increased risk of coronary heart disease (IVW: OR=2.75, 95% CI: 1.53-4.94). In mediation analyses, the proportion of HbA1c-mediated effects of hypothyroidism on coronary heart disease was 7.3% (2.2%-12.5%). Conclusion: The results of our study indicate a causal relationship between hypothyroidism and coronary heart disease. Furthermore, HbA1c partially mediated the causal effect of hypothyroidism on coronary heart disease. Consequently, intervention in this factor may reduce the risk of coronary heart disease associated with hypothyroidism. [ABSTRACT FROM AUTHOR]

Background: Venous thromboembolism (VTE) is the abnormal coagulation of blood in deep veins, which impairs venous return and includes deep vein thrombosis (DVT) and pulmonary embolism (PE). The incidence of VTE is increasing, leading to severe complications and sequelae. Despite the widespread application of multi-omics analyses in vascular disease research, identifying the specific links between various metabolic products, cytokines, and VTE, as well as their potential mediating roles, requires further validation due to confounding factors. Methods: Summary statistics for 1,091 metabolites, 309 metabolite ratios (8,299 individuals), and 41 inflammatory cytokines (8,293 individuals) were obtained from the largest genome-wide association studies (GWAS). Summary statistics for VTE (21,021 cases, 391,160 controls), DVT (6,501 cases, 357,111 controls), and PE (10,046 cases, 401,128 controls) were derived from the FinnGen R10 dataset. We initially examined causal relationships using two-sample MR analysis, followed by Two-step Mendelian Randomization (TSMR) and Multivariable Mendelian Randomization (MVMR) to identify potential mediating mechanisms. Results: We identified causal associations for 78 blood metabolites with VTE, 79 with DVT, and 81 with PE. Among all 41 inflammatory cytokines included, only plateletderived growth factor BB (PDGF-BB) levels showed a causal relationship with increased risks of VTE, DVT, and PE. MVMR analysis revealed that the associations between glycocholate levels and VTE, DVT, and PE were mediated by PDGF-BB, accounting for 14.54% (p=2.84E-04), 17.10% (p=3.64E-05), and 10.44% (p=1.39E02), respectively. Furthermore, the associations between dodecanedioate (C12:1- DC) levels and VTE and DVT were also mediated by PDGF-BB, accounting for 12.79% (p=6.10E-04) and 12.17% (p=2.13E-04), respectively. Conclusion: This study reveals significant associations between specific blood metabolites and the risks of VTE, DVT, and PE, with some associations potentially mediated by PDGF-BB. [ABSTRACT FROM AUTHOR]

Objective: Previous observational studies have indicated associations between various inflammatory cytokines and diabetic nephropathy (DN) caused by type 2 diabetes mellitus (T2DM). However, the causality remains unclear. We aimed to further evaluate the causal association between 91 inflammatory cytokines and DN using bidirectional two-sample Mendelian randomization (MR) analysis. Method: Summary statistics for DN were obtained from a publicly available genome-wide association study (GWAS) analysis. Data pertaining to inflammatory cytokines were derived from a GWAS protein quantitative trait locus (pQTL) study. The primary analytical approach employed the inverse variance weighted (IVW) method, complemented by MR-Egger regression, weighted mode (WM), and weighted median (WME) methods to evaluate the causal association between inflammatory cytokines and DN. Sensitivity analyses were conducted to validate the robustness of the findings. Result: Among individuals of European ancestry, the IVW method results revealed a positive causal association between the gene expression of tumor necrosis factor ligand superfamily member 14 (TNFSF14), and TNF-related activation-induced cytokine (TRANCE) with DN. Conversely, a negative causal association was observed between the gene expression of interleukin-1-alpha (IL-1α), and transforming growth factor-alpha (TGF-α) with DN. Among individuals of East Asian ancestry, the IVW method results indicated a negative causal association between the gene expression of glial cell line-derived neurotrophic factor (GDNF) and DN. Notably, these findings persisted without evidence of horizontal pleiotropy or heterogeneity, ensuring their robustness and reliability. Conclusion: The MR analysis underscores a causal association between inflammatory cytokines and DN, providing an important reference and evidence for the study of DN. [ABSTRACT FROM AUTHOR]

Background: Endometriosis, a prevalent chronic condition, afflicts approximately 10% of women in their reproductive years. Emerging evidence implicates immune cells in the pathogenesis of endometriosis, particularly in angiogenesis, tissue proliferation, and lesion invasion. This investigation employs two-sample Mendelian Randomization (MR) to dissect the bidirectional causal relationships between immune cell profiles and endometriosis. Methods: We leveraged publicly available genome-wide association study (GWAS) data to elucidate the causal interplay between immune cell traits and endometriosis. Utilizing GWAS summary statistics ranging from accession numbers GCST90001391 to GCST90002121 and endometriosis data from the FinnGen study GWAS (8,288 endometriosis cases and 68,969 controls), we adopted stringent criteria for instrumental variable selection. We applied MR-Egger, weighted median, inverse variance weighted (IVW), and weighted mode methods to derive causal estimates. To address potential heterogeneity and pleiotropy, Cochran's Q test, MR-Egger intercept, and leave-one-out analyses were executed. Reverse-direction MR and bidirectional MR analyses evaluated potential reciprocal causation and the influence of endometriosis on immune cell composition. Results: Our analysis identified five immune phenotypes inversely associated with endometriosis risk. These phenotypes comprise: a percentage of CD11c + HLA-DR + + monocytes, CD25 expression on CD39 + CD4 + T cells, elevated CD25 on CD45RA + CD4 + non-regulatory T cells, HLA-DR intensity on HLA-DR + CD8 bright (CD8br) T cells, and the proportion of naïve double-negative (CD4 − CD8− %DN) T cells. In contrast, eleven phenotypes were positively correlated with endometriosis risk, including: CD127 expression on T cells, the proportion of CD24 + CD27 + B cells within lymphocytes, CD25 expression on CD28 + CD4 + T cells, CD28 expression on CD39 + activated regulatory T cells (activated Tregs), the frequency of bright CD33 HLA-DR + CD14 − cells within the CD33br HLA-DR + compartment, CD45 expression on lymphocytes and natural killer (NK) cells, activation status of central memory CD8 bright (CM CD8br) T cells, CX3CR1 expression on monocytes, and the percentage of HLA-DR + NK cells within the NK cell subset. Sensitivity assessments that excluded significant heterogeneity and pleiotropy confirmed the stability of these associations, thereby reinforcing the validity of our findings. Conclusion: This study provides novel evidence of the potential causal impact of specific immune cells on the risk of developing endometriosis. These findings enhance our understanding of endometriosis pathophysiology and may inform innovative approaches for its diagnosis and management. While our findings provide novel insights, limitations such as potential horizontal pleiotropy and reliance on European ancestry data should be considered. Future research should expand to diverse populations and incorporate individual-level data to refine these findings. [ABSTRACT FROM AUTHOR]

Background: Systemic lupus erythematosus (SLE) is a complex autoimmune disease. Current treatments mainly rely on immunosuppressants, which lack specificity and pose challenges during treatment. This study aims to deeply explore the molecular pathogenic mechanism of SLE through gene expression databases (GEO) and bioinformatics analysis methods, combined with Mendelian randomization analysis, to provide key clues for new therapeutic targets. Methods: In this study, the SLE-related gene chip dataset GSE65391 was selected from the GEO database, and the data were preprocessed and statistically analyzed using R language and bioinformatics tools. Differential expression analysis, weighted gene co-expression network analysis (WGCNA), GO, and KEGG enrichment analysis were used to screen differentially expressed genes (DEGs) for functional annotation and pathway localization. Furthermore, Mendelian randomization analysis was conducted to identify core genes closely related to SLE risk, and immune cell infiltration analysis and compound molecular docking studies were performed on the core gene ISG15. Results: The study successfully screened 3,456 DEGs and identified core gene modules highly related to SLE through WGCNA analysis, including key genes closely related to the pathogenesis of SLE, such as STAT1, DDX58, ISG15, IRF7, and IFIH1. In particular, this study found a significant positive correlation between the ISG15 gene and SLE, suggesting that it may be a potential risk factor for SLE. Additionally, through molecular docking technology, it was discovered that the ISG15 gene can effectively bind to two compounds, genistein, and flavopiridol, which have anti-inflammatory and immunosuppressive effects, respectively. This provides new potential drug targets for SLE treatment. Discussion: As an immunomodulatory cytokine, ISG15 plays a crucial role in the pathogenesis of SLE. This study found that variations in the ISG15 gene may increase the risk of SLE and exacerbate inflammatory responses and tissue damage through multiple mechanisms. Furthermore, molecular docking revealed that genistein and flavopiridol can effectively bind to ISG15, offering a new approach for SLE treatment. These two compounds, with their anti-inflammatory and immunosuppressive properties, have the potential to slow the progression of SLE by influencing the expression and function of ISG15. Conclusion: Through comprehensive bioinformatics analysis and Mendelian randomization analysis, this study deeply explored the molecular pathogenic mechanism of SLE and successfully identified ISG15 as a potential therapeutic target for SLE. Simultaneously, molecular docking technology revealed that two compounds, genistein and flavopiridol, have potential therapeutic effects with ISG15, providing new potential drugs for SLE treatment. These discoveries not only enhance our understanding of the pathogenesis of SLE but also provide important clues for developing new treatment strategies. [ABSTRACT FROM AUTHOR]

Background: Previous studies have found that patients with epilepsy are more likely to suffer impulsivity. However, the causal relationship between impulsivity and epilepsy is unknown. In this study, we conduct a bidirectional Mendelian randomization (MR) study to explore the causal relationship between impulsivity and epilepsy with recurrent seizure. Methods: Data of the genome-wide association studies (GWAS) on 14 impulsivity traits and epilepsy were obtained from the GWAS catalog and UK Biobank. Inverse-variance weighted (IVW) and weighted median (WM) methods were utilized for MR estimates. IVW, MR-Egger regression, and MR-pleiotropy residual sum and outlier (MR-PRESSO) methods were used to assess heterogeneity and pleiotropy. Results: Single-nucleotide polymorphisms (SNPs) related to the lack of perseverance were associated with a decreased risk of epilepsy with recurrent seizures according to the results of IVW (odd ratio [OR] = 0.93, 95% confident interval [CI] = 0.90–0.97, P = 0.001) and WM (OR = 0.93, 95%CI = 0.87–0.98, P = 0.007). Meanwhile, heterogeneity was not observed with a Cochran Q-derived P value of 0.819 for MR egger and a P value of 0.808 for IVW. Pleiotropy was not found according to the MR-PRESSO (P = 0.273). The other 13 impulsivity traits had no causal effect on epilepsy with recurrent seizures. Meanwhile, SNPs related with epilepsy with recurrent seizures had no causal effect on the 14 impulsivity traits. Conclusions: This MR study suggests that lack of perseverance may be a protective factor against epilepsy with recurrent seizures. However, epilepsy with recurrent seizures does not affect impulsivity. [ABSTRACT FROM AUTHOR]

Background: Previous observational studies regarding the relationship between acne and prostate cancer have reported inconsistent results. As such studies are prone to biases, we conducted this Mendelian randomization (MR) analysis to better explore the causal association between acne and prostate cancer. Methods: The genetic data for assessing acne were acquired from the largest genome-wide association study (GWAS) of acne by far, and the genetic data for assessing prostate cancer were acquired from the FinnGen consortium, UK Biobank, European Bioinformatics Institute, and IEU OpenGWAS project. We performed two-sample MR analyses using data from these GWASs followed by a meta-analysis to provide an overall evaluation. The primary MR methods used included inverse variance weighted, MR-Egger, and weighted median. Leaveone- out sensitivity tests, Cochran's Q tests, and MR-Egger intercept tests were used to bolster the robustness of the MR results. Results: Through MR combined with meta-analysis, our study found no genetic causal relationship between acne and prostate cancer (p=0.378; odds ratio=0.985; 95% confidence interval, 0.954--1.018). Sensitivity tests ensured the robustness of this result. Conclusion: Acne should not be considered as a morbidity hazard factor for prostate cancer. [ABSTRACT FROM AUTHOR]

Objective: This study sought to explore the potential causal relationships among immune cell traits, Guillain-Barre syndrome (GBS) and metabolites. Methods: Employing a two-sample Mendelian randomization (MR) approach, the study investigated the causal associations between 731 immune cell traits, 1400 metabolite levels and GBS leveraging summary-level data from a genome- wide association study (GWAS). To ensure the reliability of our findings, we further assessed horizontal pleiotropy and heterogeneity and evaluated the stability of MR results using the Leave-one-out method. Results: This study revealed a causal relationship between CD3 on activated & secreting Tregs and GBS. Higher CD3 on activated and secreting Regulatory Tregs increased the risk of GBS (primary MR analysis odds ratio (OR) 1.31/SD increase, 95% confidence interval (CI) 1.08-1.58, p = 0.005). There was no reverse causality for GBS on CD3 on activated & secreting Tregs (p = 0.36). Plasma metabolite N-Acetyl-L-Alanine (ALA) was significantly positively correlated with GBS by using the IVW method (OR = 2.04, 95% CI, 1.26-3.30; p = 0.00038). CD3 on activated & secreting Tregs was found to be positively associated with ALA risk (IVW method, OR, 1.04; [95% CI, 1.01-1.07], p = 0.0078). Mediation MR analysis indicated the mediated proportion of CD3 on activated & secreting Tregs mediated by ALA was 10% (95%CI 2.63%, 17.4%). Conclusion: In conclusion, our study identified a causal relationship between the level of CD3 on activated & secreting Tregs and GBS by genetic means, with a considerable proportion of the effect mediated by ALA. In clinical practice, thus providing guidance for future clinical research. [ABSTRACT FROM AUTHOR]

Pancreatic cancer often has an insidious onset and difficulties in treatment, with various limitations in early diagnosis and treatment. This article reviews the application of Mendelian randomization (MR) in exploring the risk factors for pancreatic cancer, with a special focus on the causal relationships of factors such as gut microbiota, lifestyle, and metabolic diseases. Leveraging data from large-scale genome-wide association studies (GWAS), MR analysis has revealed several biomarkers associated with the risk of pancreatic cancer. The two-sample MR approach is commonly used in current research, including the methods such as Inverse Variance Weighted, Weighted Median, and MR-Egger, which helps to explain the causal network of the disease from a genetic perspective. While MR strategy provides a new perspective for understanding the etiology of pancreatic cancer, caution is still needed in data synthesis, selection of instrumental variables, and pleiotropy assessment. The use of emerging analytical models such as BWMR, CAUSE, and MVMR offers new possibilities for the comprehensive evaluation of multiple risk factors and their interaction. In the future, with the combination of these methods and the ever-increasing genetic epidemiological data, MR analysis is expected to provide more solid evidence for identifying potential therapeutic targets for pancreatic cancer and formulating prevention strategies. [ABSTRACT FROM AUTHOR]

Objective To investigate the causal association of liver function and lipid metabolism levels with sleep disorders based on the Mendelian randomization analysis. Methods The analysis was conducted using the data from genome-wide association studies, with the exposure factors of liver function and lipid metabolism levels (alanine aminotransferase [ALT], aspartate aminotransferase [AST], gamma-glutamyl transpeptidase [GGT], albumin [Alb], serum total protein [TP], total bilirubin [TBil], alkaline phosphatase [ALP], triglyceride [TG], triglyceride-to-glycerol-3-phosphate [TG/G3P] ratio, total cholesterol [TC], high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C], poly-unsaturated fatty acids [PUFA], total fatty acids [TFA], PUFA/TFA ratio) and the outcome factor of sleep disorders (nonorganic) . The regression models including inverse variance weighted, MR-Egger, Simple mode, weighted median, and Weighted mode were used to perform the Mendelian randomization analysis. Results Serum Alb (odds ratio [OR] =0.728, 95% confidence interval [CI] : 0.535 — 0.989, P<0.05), HDL-C (OR=0.879, 95%CI: 0.784 — 0.986, P< 0.05), and PUFA/TFA ratio (OR=0.800, 95%CI: 0.642—0.998, P<0.05) were negatively associated with sleep disorders, while TG/G3P ratio (OR=1.222, 95%CI: 1.044—1.431, P<0.05) was positively associated with sleep disorders. The results of Mendelian randomization did not show a causal association of ALT, AST, GGT, TP, TBil, ALP, TG, TC, LDL-C, PUFA, and TFA with sleep disorders (all P>0.05) . The results of the MR-Egger intercept test showed no pleiotropy (P>0.05), and Mendelian randomization was a valid method for causal inference in this study. Conclusion According to the results of the Mendelian randomization analysis, liver function and lipid metabolism show significant association with sleep disorders. Liver function and lipid metabolism can be used as indicators for predicting the risk of sleep disorders and performing intervention. [ABSTRACT FROM AUTHOR]

Objective To investigate the genetic association between nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM) using bidirectional two-sample Mendelian randomization (MR), as well as the causal relationship between NAFLD and T2DM across different body mass index (BMI) categories. Methods The data were derived from genomewide association studies conducted in European populations, with a sample size of 32 941 cases for NAFLD, 312 646 cases for T2DM, and 681 275 cases for BMI. The univariate and multivariate MR methods were used to assess the bidirectional causal relationship between NAFLD and T2DM in the general population and across different BMI subtypes. The methods of inversevariance weighting, MR-Egger regression, constrained maximum likelihood and model averaging, and weighted median were used to conduct the MR analysis, and MR-Pleiotropy Residual Sum and Outlier, radial MR, the MR-Egger intercept method, and the Cochrane Q test were used for sensitivity analysis. Results The univariate MR analysis revealed a bidirectional causal relationship between NAFLD and T2DM in the general population (forward analysis: odds ratio [OR]=9.75, 95% confidence interval [CI]: 2.57—37.00, P<0.001; reverse analysis: OR=1.01, 95%CI: 1.00—1.01, P<0.01) . After adjustment for BMI, the multivariate MR analysis showed that the causal relationship between NAFLD and T2DM remained significant in the general population (OR= 33.12, 95% CI: 7.57—144.95, P<0.000 1) . The subgroup analysis showed a causal relationship between NAFLD and T2DM across all BMI subtypes (lean subgroup: OR=12.19, 95% CI: 3.35—44.40, P<0.001; overweight subgroup: OR=4.30, 95%CI: 1.69—10.92, P<0.01; obese subgroup: OR=1.67, 95% CI: 1.14—2.44, P<0.01) . Conclusion This study reveals the causal relationship between NAFLD and T2DM in the general population of NAFLD and across different BMI subtypes from a genetic perspective. [ABSTRACT FROM AUTHOR]

Background: Chronic widespread pain (CWP) affects approximately 10% of the adult population globally, causing significant physical and psychological distress. Micronutrients, such as iron, copper, zinc, and magnesium, are essential in various physiological functions, and their imbalances may impact pain perception and chronic pain conditions. Methods: This study used Mendelian randomization (MR) to investigate the causal relationships between micronutrient levels and CWP. Data were obtained from genome-wide association studies (GWASs) for iron, copper, zinc, and magnesium, and CWP data were sourced from large-scale GWASs with 461,857 European participants. Genetic variants were used as instrumental variables to infer causal relationships, minimizing confounding factors. Results: MR analysis revealed a significant association between higher iron levels and an increased risk of CWP (IVW, OR 1.01, 95% CI: 1.00–1.01, p = 0.029). This finding was supported by the weighted median and MR-Egger methods. No significant associations were found for copper, zinc, and magnesium levels. Conclusions: These results suggest that iron levels may influence pain perception and chronic pain conditions. Balanced iron levels are crucial for managing chronic pain. Regular monitoring and personalized treatment plans could benefit individuals with CWP. Further research is needed to understand the mechanisms linking micronutrient levels to chronic pain and to develop targeted therapeutic interventions. [ABSTRACT FROM AUTHOR]

Hearing difficulty (HD) is a major health burden in older adults. While ageing-related changes in the peripheral auditory system play an important role, genetic variation associated with brain structure and function could also be involved in HD predisposition. We analysed a large-scale HD genome-wide association study (GWAS; n total = 501 825, 56% females) and GWAS data related to 3935 brain imaging-derived phenotypes (IDPs) assessed in up to 33 224 individuals (52% females) using multiple MRI modalities. To investigate HD pleiotropy with brain structure and function, we conducted genetic correlation, latent causal variable, Mendelian randomization and multivariable generalized linear regression analyses. Additionally, we performed local genetic correlation and multi-trait co-localization analyses to identify genomic regions and loci implicated in the pleiotropic mechanisms shared between HD and brain IDPs. We observed a widespread genetic correlation of HD with 120 IDPs in females, 89 in males and 171 in the sex-combined analysis. The latent causal variable analysis showed that some of these genetic correlations could be due to cause-effect relationships. For seven of them, the causal effects were also confirmed by the Mendelian randomization approach: vessel volume→HD in the sex-combined analysis; hippocampus volume→HD, cerebellum grey matter volume→HD, primary visual cortex volume→HD and HD→fluctuation amplitudes of node 46 in resting-state functional MRI dimensionality 100 in females; global mean thickness→HD and HD→mean orientation dispersion index in superior corona radiata in males. The local genetic correlation analysis identified 13 pleiotropic regions between HD and these seven IDPs. We also observed a co-localization signal for the rs13026575 variant between HD, primary visual cortex volume and SPTBN1 transcriptomic regulation in females. Brain structure and function may have a role in the sex differences in HD predisposition via possible cause-effect relationships and shared regulatory mechanisms. [ABSTRACT FROM AUTHOR]

Background: Numerous observational studies have indicated that patients with Guillain-Barré syndrome (GBS) frequently had infections with various pathogens before the onset of the disease, particularly several viral infections. Some of these infections are linked to specific clinical and immunological subgroups of GBS, suggesting a potential correlation between viral infections and the development of GBS. However, observational studies have several limitations, including the presence of confounding factors. Method: We explored the potential correlation between HIV, SARS-CoV-2, varicella-zoster virus, herpes simplex virus, Epstein-Barr virus, hepatitis B virus, and influenza virus with GBS using a two-sample Mendelian randomization approach. The data was derived from published summary statistics from genome-wide association studies (GWAS). After removing linkage disequilibrium, selecting strong instrumental variables and addressing confounding factors, we would conduct a two-sample Mendelian randomization analysis along with sensitivity testing and the MR-Steiger directional test. Result: HIV may have a causal association with GBS (IVW: p = 0.010, OR [95% CI] 1.240 [1.052–1.463]), while no such relationship exists with COVID-19 (IVW: p = 0.275, OR [95% CI] 0.831[0.596–1.159]), varicella (IVW: p = 0.543, OR [95% CI] 0.919 [0.701–1.206]), herpes zoster (IVW: p = 0.563, OR [95% CI] 0.941 [0.766–1.156]), HSV (IVW: p = 0.280, OR [95% CI] 1.244 [0.837–1.851]), EBV (IVW: p = 0.218, OR [95% CI] 0.883 [0.724–1.076]), HBV (IVW: p = 0.179, OR [95% CI] 1.072 [0.969–1.187]), or influenza virus (IVW: p = 0.917, OR [95% CI] 0.971 [0.553–1.703]). We did not find any abnormal SNPs, pleiotropy, or heterogeneity, nor is there any reverse causation. Conclusion: Our study results indicate a causal relationship between HIV and GBS, providing new research directions for the etiology of GBS. [ABSTRACT FROM AUTHOR]

Purpose: Explore the causal relationship between the gut microbiota and erectile dysfunction (ED) at phylum, class, order, family, and genus levels, and identify specific pathogenic bacteria that may be associated with the onset and progression of ED. Materials and Methods: The genetic variation data of 196 human gut microbiota incorporated in our study came from the human gut microbiome Genome Wide Association Studies (GWAS) dataset released by the MiBioGen Consortium. The GWAS statistics for ED were extracted from one study by Bovijn et al., which included 223,805 participants of European ancestry, of whom 6,175 were diagnosed with ED. Subsequently, Mendelian randomization (MR) analysis was carried out to explore whether a causal relationship exists between the gut microbiota and ED. Additionally, bidirectional MR analysis was performed to examine the directionality of the causal relationship. Results: Through MR analysis, we found that family Lachnospiraceae (odds ratio [OR]: 1.27, 95% confidence interval [CI]: 1.05–1.52, p=0.01) and its subclass genus LachnospiraceaeNC2004 group (OR: 1.17, 95% CI: 1.01–1.37, p=0.04) are associated with a higher risk of ED. In addition, genus Oscillibacter (OR: 1.17, 95% CI: 1.02–1.35, p=0.03), genus Senegalimassilia (OR: 1.32, 95% CI: 1.06–1.64, p=0.01) and genus Tyzzerella3 (OR: 1.14, 95% CI: 1.02–1.27, p=0.02) also increase the risk of ED. In contrast, the inverse variance weighted estimate of genus RuminococcaceaeUCG013 (OR: 0.77, 95% CI: 0.61–0.96, p=0.02) suggests that it has a protective effect against the occurrence of ED. Conclusions: This study preliminarily identified 6 bacterial taxa that may have a causal relationship with ED, including family Lachnospiraceae, genus Lachnospiraceae NC2004 group, Oscillibacter, Senegalimassilia, Tyzzerella 3 and Ruminococcaceae UCG013. These identified important bacterial taxa may serve as candidates for microbiome intervention in future ED clinical trials. [ABSTRACT FROM AUTHOR]

Background: We employed Mendelian randomization (MR) to investigate the causal relationship between the gut microbiota and lymphoid leukemia, further exploring the causal relationships among immune cells, lymphoid leukemia, and potential metabolic mediators. Methods: We utilized data from the largest genome-wide association studies to date, encompassing 418 species of gut microbiota, 713 types of immune cells, and 1,400 serum metabolites as exposures. Summary statistics for lymphoid leukemia, acute lymphocytic leukemia (ALL), and chronic lymphocytic leukemia (CLL) were obtained from the FinnGen database. We performed bidirectional Mendelian analyses to explore the causal relationships among the gut microbiota, immune cells, serum metabolites, and lymphoid leukemia. Additionally, we conducted a two-step mediation analysis to identify potential intermediary metabolites between immune cells and lymphoid leukemia. Results: Several gut microbiota were found to have causal relationships with lymphoid leukemia, ALL, and CLL, particularly within the Firmicutes and Bacteroidetes phyla. In the two-step MR analysis, various steroid hormone metabolites (such as DHEAS, pregnenolone sulfateprogestogen derivatives, and androstenediol-related compounds) were identified as potential intermediary metabolites between lymphoid leukemia and immune cells. In ALL, the causal relationship between 1-palmitoyl-2-docosahexaenoyl-GPE (16:0/22:6) and ALL was mediated by CD62L-plasmacytoid DC%DC (mediated proportion = -2.84%, P=0.020). In CLL, the causal relationship between N6,n6,n6-trimethyllysine and CLL was mediated by HLA DR+ CD8br AC (mediated proportion=4.07%, P=0.021). Conclusion: This MR study provides evidence supporting specific causal relationships between the gut microbiota and lymphoid leukemia, as well as between certain immune cells and lymphoid leukemia with potential intermediary metabolites. [ABSTRACT FROM AUTHOR]

Purpose: This study performed a bidirectional Mendelian randomization (MR) analysis to elucidate the causal relationships of C-reactive protein and 41 inflammatory regulators with melanoma, including data from UK Biobank, Cardiovascular Risk in Young Finns Study, and Cohorts for Inflammation Work Group. Methods: We selected the inverse variance weighting (IVW) to merge the estimated causal effects of multiple SNPs into a weighted average. To evaluate the heterogeneities of IVW, the Cochran Q statistic, and I2 index were used. What's more, several sensitivity analyses were employed, including IVW, MR-Egger, weighted median, and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO). Results: With SNPs reaching P < 5 × 10−8, the analyses findings revealed that IL-16 had a significant positively association with genetically risk of melanoma (ORIVW: 1.05; 95% CI: 1.03–1.07; P < 0.001), and high levels of MCP1 (ORIVW: 1.13; 95% CI: 1.03–1.23; P = 0.01) were suggestively associated with melanoma susceptibility. What's more, TNF-β (ORIVW: 1.07; 95% CI: 1.01–1.13; P = 0.02) and IL-8 (ORIVW: 1.08, 95% CI: 1.01–1.16; P = 0.03) were demonstrated a positive association with the risk of melanoma under a less stringent cut-off (P < 5 × 10−6). Conversely, we found a facilitative effect of melanoma susceptibility on IP-10 and inhibitory effects on IL-6, IL-1b, and GRO-α. Conclusion: The genetic evidence that we have uncovered indicates a potential association between the levels of specific inflammatory markers (IL-16, IL-8, MCP-1, and TNF-β) and the risk of melanoma. Further research is imperative to translate these findings into clinical applications. [ABSTRACT FROM AUTHOR]

While numerous studies have underscored the implication of immune cells and metabolites in temporomandibular disorders (TMD), conclusive evidence for causality remains elusive. Consequently, our aim is to explore the causal connections between immunophenotypes and plasma metabolites in relation to TMD employing a bidirectional Mendelian randomization (MR) approach. Summary statistics data on 731 immunophenotypes (n = 3757) and 1091 plasma metabolites (n = 8299) were obtained from comprehensive genome-wide association studies (GWAS), while TMD data (5668 cases and 205,355 controls) were acquired from the FinnGen Consortium. Bidirectional MR analyses and a two-step MR approach assessed causal relationships and potential intermediaries. Various corrections and sensitivity analyses were utilized to assess the robustness of the findings. Two immunophenotypes and seven metabolites were significantly associated with TMD risk. Specifically, Alpha-hydroxyisovalerate mediated the link between CD33 on CD33dim HLA DR + CD11b + and TMD (β = 0.034, P = 5.95 × 10–5), while CD8 on NKT cells mediated the causal relationship between 5-acetylamino-6-formylamino-3-methyluracil levels and TMD (β = 0.069, P = 5.11 × 10–5). Our findings revealed the causal relationships between immunophenotypes and plasma metabolites on TMD from a genetic perspective, potentially aiding in TMD prevention. [ABSTRACT FROM AUTHOR]

Background: The relationship between selenium and renal function has always attracted widespread attention. Increased selenium level has been found to cause impaired renal function in our previous study, but the mechanism is not clear. In this study, we evaluate the potential mediating effects of plasma proteome in the association of selenium level and renal function to understand the mechanisms of selenium's effect on renal function. Methods: Utilizing two-sample two-step mediating mendelian randomization (MR) methodology to investigate the genetically causal relationship between selenium level and renal function as well as the role of the plasma proteome in mediating them. Additionally, the mediating proteins were enriched and analyzed through bioinformatics to understand the potential mechanisms of selenium effects on renal function. Results: In the MR analysis, an increase in selenium level was found to decrease estimated glomerular filtration rate (eGFR). Specifically, for each standard deviation (SD) increase in selenium levels, eGFR levels are reduced by 0.003 SD [Beta (95% CI): -0.003 (-0.004 ~ -0.001), P=0.001, with no observed heterogeneity and pleiotropy]. Through mediation analysis, 35 proteins have been determined mediating the genetically causal effects of selenium on the levels of eGFR, including Fibroblast growth factor receptor 4 (FGFR4), Fibulin-1, Cilia- and flagella-associated protein 45, Mothers against decapentaplegic homolog 2 (SMAD2), and E3 ubiquitin-protein ligase ZNRF3, and the mediation effect rates of these proteins ranged from 1.59% to 23.70%. In the enrichment analysis, 13 signal transduction pathways, including FGFR4 mutant receptor activation and Defective SLC5A5 causing thyroid dyshormonogenesis 1, were involved in the effect of selenium on eGFR levels. Conclusion: Our finding has revealed the underlying mechanism by which increased selenium level lead to deterioration of renal function, effectively guiding the prevention of chronic kidney disease and paving the way for future studies. [ABSTRACT FROM AUTHOR]

Background: The gut microbiota has been demonstrated to have a significant role in the pathogenesis and progression of a variety of diseases, including prostate cancer, prostatitis, and benign prostatic hyperplasia. Potential links between prostate diseases, immune cells and the gut microbiota have not been adequately investigated. Methods: MR studies were conducted to estimate the effects of instrumental variables obtained from genome-wide association studies (GWASs) of 196 gut microbial taxa and 731 immune cells on the risk of prostate diseases. The primary method for analysing causal relationships was inverse variance-weighted (IVW) analysis, and the MR results were validated through various sensitivity analyses. Results: MR analysis revealed that 28 gut microbiome taxa and 75 immune cell types were significantly associated with prostate diseases. Furthermore, reverse MR analysis did not support a causal relationship between prostate diseases and the intestinal microbiota or immune cells. Finally, the results of the mediation analysis indicated that Secreting Treg % CD4 Treg, Activated & resting Treg % CD4 Treg, and Mo MDSC AC inhibited the role of the class Mollicutes in reducing the risk of PCa. In prostatitis, CD8+ T cells on EM CD8br hinder the increased risk associated with the genus Eubacterium nodatum group. Interestingly, in BPH, CD28-CD25++CD8br AC and CD16-CD56 on HLA DR+ NK promoted the role of the genus Dorea in reducing the risk of BPH. Conclusion: This study highlights the complex relationships among the gut microbiota, immune cells and prostate diseases. The involvement of the gut microbiota in regulating immune cells to impact prostate diseases could provide novel methods and concepts for its therapy and management. [ABSTRACT FROM AUTHOR]

Metastasis is the major cause of treatment failure in patients with prostate adenocarcinoma (PRAD). Diverse programmed cell death (PCD) patterns play an important role in tumor metastasis and hold promise as predictive indicators for PRAD metastasis. Using the LASSO Cox regression method, we developed PCD score (PCDS) based on differentially expressed genes (DEGs) associated with PCD. Clinical correlation, external validation, functional enrichment analysis, mutation landscape analysis, tumor immune environment analysis, and immunotherapy analysis were conducted. The role of Prostaglandin D2 Synthase (PTGDS) in PRAD was examined through in vitro experiments, single-cell, and Mendelian randomization (MR) analysis. PCDS is elevated in patients with higher Gleason scores, higher T stage, biochemical recurrence (BCR), and higher prostate-specific antigen (PSA) levels. Individuals with higher PCDS are prone to metastasis, metastasis after BCR, BCR, and castration resistance. Moreover, PRAD patients with low PCDS responded positively to immunotherapy. Random forest analysis and Mendelian randomization analysis identified PTGDS as the top gene associated with PRAD metastasis and in vitro experiments revealed that PTGDS was considerably downregulated in PRAD cells against normal prostate cells. Furthermore, the overexpression of PTGDS was found to suppress the migration, invasion, proliferationof DU145 and LNCaP cells. To sum up, PCDS may be a useful biomarker for forecasting the possibility of metastasis, recurrence, castration resistance, and the efficacy of immunotherapy in PRAD patients. Additionally, PTGDS was identified as a viable therapeutic target for the management of PRAD. [ABSTRACT FROM AUTHOR]

Major depressive disorder (MDD) and bipolar disorder (BD) are prevalent psychiatric conditions linked to inflammatory processes. However, it is unclear whether associations of immune cells with these disorders are likely to be causal. We used two-sample Mendelian randomization (MR) approach to investigate the relationship between 731 immune cells and the risk of MDD and BD. Rigorous sensitivity analyses are conducted to assess the reliability, heterogeneity, and horizontal pleiotropy of the findings. Genetically-predicted CD27 on IgD+ CD38− unswitched memory B cell (inverse variance weighting (IVW): odds ratio (OR) [95 %]: 1.017 [1.007 to 1.027], p = 0.001), CD27 on IgD+ CD24+ B cell (IVW: OR [95 %]: 1.021 [1.011 to 1.031], p = 4.821E−05) and other 12 immune cells were associated with increased risk of MDD in MR, while HLA DR++ monocyte %leukocyte (IVW: OR [95 %]: 0.973 [0.948 to 0.998], p = 0.038), CD4 on Central Memory CD4+ T cell (IVW: OR [95 %]: 0.979 [0.963 to 0.995], p = 0.011) and other 13 immune cells were associated with decreased risk of MDD in MR. Additionally, CD33+ HLA DR+ Absolute Count (IVW: OR [95 %]: 1.022[1.007 to 1.036], p = 0.007), CD28+ CD45RA− CD8+ T cell %T cell (IVW: OR [95 %]: 1.024 [1.008 to 1.041], p = 0.004) and other 18 immune cells were associated with increased risk of BD in MR, while CD62L on CD62L+ myeloid Dendritic Cell (IVW: OR [95 %]: 0.926 [0.871 to 0.985], p = 0.014), IgD− CD27− B cell %lymphocyte (IVW: OR [95 %]: 0.918 [0.880 to 0.956], p = 4.654E−05) and other 13 immune cells were associated with decreased risk of BD in MR. This MR study provides robust evidence supporting a causal relationship between immune cells and the susceptibility to MDD and BD, offering valuable insights for future clinical investigations. Experimental studies are also required to further examine causality, mechanisms, and treatment potential for these immune cells for MDD and BD. • Early life infection is linked with autoimmune disease and subsequent psychiatric disorders in adults. • Complex immune-brain interactions may have causal and therapeutic implications for MDD and BD. • MR can control residual factors including limited sample size and flawed study design. [ABSTRACT FROM AUTHOR]

Simple Summary: Thyroid diseases, such as goiter and thyroid nodules, are prevalent and can significantly impact people's health and quality of life. Recent studies have indicated that the microorganisms in our gut, known as the gut microbiota, might influence the development of these conditions. However, whether these microorganisms cause thyroid diseases or are merely associated with them remains unclear. In this study, we employed genetic analysis to determine whether specific gut bacteria affect the risk of developing six common thyroid disorders. Our findings demonstrate that certain gut bacteria are indeed associated with these diseases—some bacteria seem to protect against thyroid conditions, while others may elevate the risk. This discovery highlights the important role that gut health plays in thyroid disease and suggests new possibilities for prevention and treatment. By targeting gut bacteria through dietary changes, probiotics, or other interventions, it may be feasible to reduce the risk of developing thyroid diseases. Our study underscores the vital connection between gut health and thyroid function, and its potential impact on overall well-being. Background: Recent studies have established associations between the gut microbiota (GM) and thyroid diseases (TDs). However, their causal relationships remain elusive. Methods: To investigate this causality, we conducted a two-sample Mendelian randomization (MR) analysis using genome-wide association study (GWAS) data from MiBioGen and FinnGen, with GM as the exposure and six TDs as outcomes. Results: We identified 32 microbial taxa linked to the risk of six TDs. The Clostridium innocuum group, Ruminiclostridium5, and Lachnoclostridium exhibited protective effects against nontoxic diffuse goiter (NDG). Conversely, an increased risk of NDG was associated with Ruminococcaceae UCG002, Alistipes, Methanobrevibacter, Marvinbryantia, and Ruminococcaceae UCG014. Bifidobacterium and Sutterella were protective against nontoxic multinodular goiter (NMG), while the Ruminococcus gauvreauii group and Rikenellaceae RC9 gut group heightened NMG risk. Protective effects against nontoxic single thyroid nodule (NSTN) were observed with Defluviitaleaceae UCG011, Ruminococcus1, and Ruminococcaceae UCG010, whereas increased risk was linked to Alistipes, the Ruminococcus gauvreauii group, and Lachnospiraceae UCG010. Ruminiclostridium9, Victivallis, and Butyricimonas offered protection against thyrotoxicosis with Graves' Disease (GD), while the Eubacterium rectale group, Desulfovibrio, Bifidobacterium, Collinsella, Oscillospira, and Catenibacterium were risk factors. For thyrotoxicosis with Plummer Disease (PD), protective taxa included Butyricimonas and Lachnospira, whereas Dorea, Eggerthella, Odoribacter, Lactobacillus, Intestinimonas, and Phascolarctobacterium increased risk. Lastly, Parasutterella was protective against thyrotoxicosis with toxic single thyroid nodule (TSTN), while increased risk was associated with Sutterella, Oscillibacter, and Clostridium sensu stricto1. Conclusions: Our findings support a causal relationship between specific GM and TDs at the genetic level, laying the foundation for future research into potential mechanisms and the identification of novel therapeutic targets. [ABSTRACT FROM AUTHOR]

Previous observational studies have suggested that gut microbiota might be associated with vitiligo. However, owing to the limitations in observational studies of reverse causality and confounders, it remains unclear that whether and how the causal relationships exist. The results suggested that pylum.Bacteroidetes, family.BacteroidalesS24.7, genus.LachnospiraceaeND3007, genus.Marvinbryantia are protective factors for vitiligo. Conversely, family.Lachnospiraceae, order.Burkholderiales, genus.Adlercreutzia, genus.Catenibacterium and genus.Lachnospira are risk factors for vitiligo. In addition, the causative connection between dietary factors and the gut microbiota associated with vitiligo was also investigated. The results revealed that 'alcohol intake versus 10 years pervious' results in a reduction in the abundance of genus.Lachnospiraceae ND3007 and family.BacteroidalesS24.7, bread intake leads to a reduction of genus.Marvinbryantia, 'average weekly red wine intake' is linked to a decrease in the abundance of order.Burkholderiales, tea intake is associated with an augmentation in the abundance of genus.Catenibacterium, salad/raw vegetable intake elevates the abundance of order.Burkholderiales. In summary, this Mendelian randomization study substantiates potential causal effects of gut microbiota on vitiligo. Modulating the gut microbiota through regulating dietary composition may be a novel strategy for preventing vitiligo. [ABSTRACT FROM AUTHOR]

Alzheimer's disease (AD) is a complex neurodegenerative condition characterized by metabolic imbalances and neuroinflammation, posing a formidable challenge in medicine due to the lack of effective treatments. Despite considerable research efforts, a cure for AD remains elusive, with current therapies primarily focused on symptom management rather than addressing the disease's underlying causes. This study initially discerned, through Mendelian randomization analysis that elevating pantothenate levels significantly contributes to the prophylaxis of Alzheimer's disease. We explore the therapeutic potential of pantothenate encapsulated in liposomes (Pan@TRF@Liposome NPs), targeting the modulation of CRM1-mediated PKM2 nuclear translocation, a critical mechanism in AD pathology. Additionally, we investigate the synergistic effects of exercise, proposing a combined approach to AD treatment. Exercise-induced metabolic alterations share significant similarities with those associated with dementia, suggesting a potential complementary effect. The Pan@TRF@Liposome NPs exhibit notable biocompatibility, showing no liver or kidney toxicity in vivo, while demonstrating stability and effectiveness in modulating CRM1-mediated PKM2 nuclear translocation, thereby reducing neuroinflammation and neuronal apoptosis. The combined treatment of exercise and Pan@TRF@Liposome NP administration in an AD animal model leads to improved neurofunctional outcomes and cognitive performance. These findings highlight the nanoparticles' role as effective modulators of CRM1-mediated PKM2 nuclear translocation, with significant implications for mitigating neuroinflammation and neuronal apoptosis. Together with exercise, this dual-modality approach could offer new avenues for enhancing cognitive performance and neurofunctional outcomes in AD, marking a promising step forward in developing treatment strategies for this challenging disorder. The administration of Pan@TRF@Liposome nanoparticles (NPs) combined with physical exercise results in a significant reduction in neuroinflammation and neuronal apoptosis, improved neurofunctional outcomes, and enhanced cognitive performance in an Alzheimer's disease (AD) animal model. This treatment also demonstrates notable biocompatibility, stability, and effectiveness in modulating CRM1-mediated PKM2 nuclear translocation. The graphical abstract illustrates the therapeutic potential of Pan@TRF@Liposome NPs and exercise in improving AD outcomes. The injection of lipid nanoparticles shows Pan@TRF@Liposomes crossing the blood-brain barrier. The mechanism of action details the modification of PKM2 by SUMO1 and its nuclear translocation via CRM1. The combined treatment highlights the synergistic benefits of nanoparticle administration and physical exercise, leading to M2 polarization of microglia and reduction in amyloid-beta (Aβ) plaques. Overall, this combined approach results in a marked improvement in AD symptoms and cognitive function. [Display omitted] • Elevating pantothenate levels significantly contributes to preventing Alzheimer's disease. • Pan@TRF@Liposome nanoparticles reduced neuroinflammation and neuronal apoptosis. • Pan@TRF@Liposome nanoparticles exerted effects through targeting the regulation of CRM1-mediated PKM2 nuclear translocation. • The combined treatment of exercise and Pan@TRF@Liposome nanoparticles in AD animal model improved neurofunctional outcomes. [ABSTRACT FROM AUTHOR]

Preterm birth is the leading cause of neonatal mortality worldwide, and dyslipidemia is associated with preterm birth in observational studies. We use Mendelian randomization (MR) analyses to uncover the causal association between blood lipid levels and preterm birth. We extracted uncorrelated (R2 < 0.001) single-nucleotide polymorphisms strongly associated (p < 5 × 10–8) with blood lipids from genome wide association studies of FinnGen database and UK Biobank participants. Inverse variance weighted method was the main MR analysis. Sensitivity analyses including genetic pleiotropy, heterogeneity, and directionality of causality were conducted. The study included 115,082 participants with lipid measurements, 8,507 patients with preterm birth. Increasing apolipoprotein B (odds ratio (OR), 1.12[95 % CI, 1.02–1.23]; p = 0.019), low-density lipoprotein cholesterol (OR, 1.11[95 % CI, 1.00–1.22]; p = 0.040), non-high-density lipoprotein cholesterol (OR, 1.12[95 % CI, 1.01–1.24]; p = 0.026), remnant cholesterol (OR, 1.11[95 % CI, 1.00–1.23]; p = 0.047) and total free cholesterol (OR, 1.11[95 % CI, 1.01–1.23]; p = 0.037) were associated with increased risk of preterm delivery. Moreover, triglycerides in low-density lipoprotein were causally associated with the risk of PTB. Our sensitivity analysis yielded robust results, uncovering no evidence of horizontal pleiotropy or reverse causal relationships. Our investigation unveils the adverse impact of dyslipidemia on preterm birth, with a particular emphasis on the detrimental effect of elevated low-density lipoprotein cholesterol. [ABSTRACT FROM AUTHOR]

The objective of the study was to explore the relationship and potential mechanism between Parkinson's disease (PD) and diabetic retinopathy (DR) using bioinformatics methods. We first examined the causal relationship between PD and DR by Mendelian randomization (MR) analysis. The datasets of PD and DR patients from the Gene Expression Omnibus database were used to identify differentially expressed genes (DEGs). Then, we performed the Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and immune infiltration analysis. We also constructed a protein–protein interaction network and receiver operating characteristic (ROC) curve. Finally, an online website was used for drug prediction. The MR analysis demonstrated a causal relationship between DR and PD (odds ratio [OR] = 0.86; 95% confidence interval [CI] 0.79–0.93; p = 3.24E − 04), in which DR acted as a protective factor against PD. There were 81 DEGs identified from the PD and DR datasets, of which 29 genes had protein interaction relationships, and enrichment analysis showed that these genes were mainly related to immune pathways. As indicated by immune cell infiltration analysis, the expression of immune cells between PD and the control group was significantly different. ROC curve results showed five genes had diagnostic value, and several potential chemical compounds were predicted to target the genes. Our findings demonstrate a reduced risk of PD in patients with DR. We also found that PD and DR are closely related in terms of inflammation, which provides clues for further exploring the common mechanisms and interaction of these two diseases. [ABSTRACT FROM AUTHOR]

Abstract Background In recent years, the anti-tumor effects of vitamin D have garnered increasing attention. However, previous epidemiological studies on the relationship between vitamin D and nasopharyngeal carcinoma (NPC) have yielded inconsistent results. This study aims to further explore whether vitamin D helps reduce the risk of NPC through Mendelian randomization (MR) and meta-analysis. Methods Based on the core assumption of MR study, instrumental variables (IVs) for vitamin D, serving as genetic proxies, were obtained from summary data of large genome-wide association study (GWAS). Inverse-variance weighted (IVW) was utilized as the primary MR analytical method to explore the causal relationship between vitamin D and NPC. Sensitivity analyses included heterogeneity testing and horizontal pleiotropy testing. To further validate the robustness of the result, meta-analysis was employed to obtain pooled effects from databases of different sources. Results In the discovery cohort, the IVW result suggest that vitamin D is a potential protective factor against NPC (odds ratio (OR) = 0.35, 95% confidence interval (CI): 0.13–0.89, P = 0.028). The finding was further corroborated by two independent replication cohorts [OR = 0.32, 95% CI: 0.13–0.80, P = 0.018 (ukb-d-30890_irnt); OR = 0.34, 95% CI: 0.13–0.90, P = 0.029(ebi-a-GCST90025967)]. Subsequent meta-analysis indicated that vitamin D markedly reduces the risk of NPC (OR = 0.34, 95% CI: 0.19–0.58, P 0.05). Conclusion This study provides robust evidence that vitamin D significantly reduces the risk of NPC. Through MR and meta-analysis, we have demonstrated a protective role of vitamin D in NPC development. These findings suggest that maintaining adequate vitamin D levels may be a potential strategy for reducing NPC. Further research is warranted to confirm these results and explore the underlying mechanisms involved.

Abstract Hearing loss(HL) represents a significant public health concern. This study aimed to determine the association between hearing loss and gout and to elucidate the underlying causative mechanisms. Data for this study were obtained from the National Health and Nutrition Examination Survey (NHANES) and Mendelian randomization (MR) basic databases. Initially, baseline characteristics of individuals with and without gout were compared. A nonlinear relationship between pure tone audiometry (PTA) values and gout prevalence was confirmed through restricted cubic spline (RCS) curve analysis. Subsequently, hearing loss was categorized into different levels based on PTA values, and multiple logistic regression analysis was employed to calculate the impact of varying degrees of hearing loss on the risk of gout. Finally, MR analysis was conducted to further elucidate the causal relationship between hearing loss and gout. A total of 3,258 individuals were included in this study, with a gout prevalence of 3.7%. Significant differences were observed between the gout group and the non-gout group in variables such as age, gender, blood uric acid level, BMI, hypertension, and diabetes. RCS curve analysis revealed a significant nonlinear relationship between PTA values and gout risk, particularly when PTA values exceed a specific threshold, where the curve flattens. Based on different levels of hearing loss derived from PTA values, multiple logistic regression analysis demonstrated that mild and moderate hearing loss significantly increased the risk of gout, remaining statistically significant after adjusting for covariates (odds ratio (OR) = 2.10–3.48, P

Background Lung cancer remains a significant global health challenge, with both its incidence and mortality rates on the rise worldwide. Despite numerous investigations into its etiology, progression, and prognostic indicators, a pressing need persists for straightforward and efficient methods to assess the early prognosis of lung cancer. Objective This study aims to investigate the prognostic significance of absolute eosinophil count level in patients with lung cancer. Methods We conducted a retrospective analysis of clinical data from 152 lung cancer patients admitted to the First Affiliated Hospital of Anhui Medical University between June 2019 and December 2022, with follow-up conducted until May 2023. Patients experiencing tumor recurrence, metastasis, or mortality were categorized into the poor prognosis group, while the remaining patients comprised the good prognosis group. Progression-free survival time (PFS) was meticulously recorded. Group comparisons were made to identify factors influencing lung cancer prognosis, followed by multivariate Cox regression analysis. Additionally, Kaplan-Meier survival analysis was employed to assess the impact of absolute eosinophil count on survival. Receiver operating characteristic (ROC) curve analysis was utilized to evaluate the prognostic efficacy of lung cancer, with the area under the ROC curve (AUC) calculated to gauge its predictive value. To further explore the relationship between eosinophil counts and lung cancer, datasets were procured from genome-wide association analysis pooled data and the International Consortium for Lung Cancer Research for Mendelian randomization analysis, elucidating potential causal links. Results Patients were stratified into good and poor prognosis groups based on their lung cancer prognosis. A statistically significant contrast in absolute eosinophil count was observed between these groups (P=0.004). Multivariate Cox regression analysis highlighted absolute eosinophil count as an independent risk factor for lung cancer survival outcomes (HR=1.58, 95%CI=1.03-2.44, P=0.037). Kaplan-Meier analysis revealed that the PFS time for patients with elevated absolute eosinophilic counts (n=76) (618.44±72.57 ) days was shorter compared to those with normal counts (n=76) (842.32±76.04) days (P=0.048). Furthermore, the AUC was 0.634. Mendelian randomization findings indicated that eosinophil count might serve as an adverse overall risk factor for lung cancer in the East Asian population (OR=1.07, 95%CI=1.01-1.13, P=0.030) . Conclusion The elevation of absolute eosinophil count levels may adversely impact the prognosis of lung cancer patients.

Shiya Zeng,1,&ast; Yanyue Tan,1,2,&ast; Zhiwei Cao,3 Yunhao Zheng,1 Tiqian Liu,1 Yifei Deng,1 Xin Xiong1 1State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 2Department of Nursing, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 3School of Stomatology, Tianjin Medical University, Tianjin, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xin Xiong, State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No. 15, West Section 3, Second Ring Road, Chengdu, Sichuan, 610041, People’s Republic of China, Tel +86 028 85501425, Email drxiongxin@scu.edu.cnObjective: Growing researches explore vitamin D’s role in temporomandibular disorders (TMDs), but the link between vitamin D and TMDs remains debated. To clarify the causal relationship, we conducted a Mendelian randomization (MR) analysis using data from genome-wide association studies (GWAS).Subjects and Methods: The GWAS dataset of vitamin D (GWAS ID: ukb-d-30890_irnt; sample size: 329247) was obtained from the IEU Open GWAS project. And that of TMDs (GWAS ID: finn-b-TEMPORO; sample size: 134280), initiated on August 25th, 2017 and publicly released on December 18th, 2023, was extracted from the FinnGen dataset, whose cases were diagnosed based on the revised International Classification of Diseases, 10th Edition (ICD-10) code K07.6. Both datasets were obtained from the European population. According to three assumptions of MR analysis, a bi-directional MR analysis was performed to measure the causal relationship, with Inverse variance weighted (IVW) as the primary method and MR Egger and Weighted median as supplement. Moreover, diverse sensitivity analyses, including Cochran’s Q test, MR Egger intercept, Mendelian randomized polymorphism RESidual Sum and Outlier (MR-PRESSO), and leave-one-out analysis, were used to verify the stability of the findings.Results: The MR analysis supported causal effects of vitamin D levels on TMDs risks within the European population using IVW method [odds ratio = 1.316; 95% confidence interval = 1.086 to 1.595; P = 0.005], supported by MR Egger and Weighted median. While there was no indication that TMDs have a direct impact on vitamin D levels [β: − 0.00738, standard error = 0.00665; P = 0.568].Conclusion: The study revealed that within the European population higher levels of vitamin D led to higher risks of developing temporomandibular disorders, but found no obvious evidence that TMDs are causally associated with vitamin D. The conclusion should be cautiously interpreted, given the selection bias of TMDs patients sample.Keywords: Mendelian randomization analysis, temporomandibular joint disorders, vitamin D, 25-hydroxyvitamin D

Abstract Objective Previous observational studies have indicated associations between various inflammatory cytokines and diabetic nephropathy (DN) caused by type 2 diabetes mellitus (T2DM). However, the causality remains unclear. We aimed to further evaluate the causal association between 91 inflammatory cytokines and DN using bidirectional two-sample Mendelian randomization (MR) analysis. Method Summary statistics for DN were obtained from a publicly available genome-wide association study (GWAS) analysis. Data pertaining to inflammatory cytokines were derived from a GWAS protein quantitative trait locus (pQTL) study. The primary analytical approach employed the inverse variance weighted (IVW) method, complemented by MR-Egger regression, weighted mode (WM), and weighted median (WME) methods to evaluate the causal association between inflammatory cytokines and DN. Sensitivity analyses were conducted to validate the robustness of the findings. Result Among individuals of European ancestry, the IVW method results revealed a positive causal association between the gene expression of tumor necrosis factor ligand superfamily member 14 (TNFSF14), and TNF-related activation-induced cytokine (TRANCE) with DN. Conversely, a negative causal association was observed between the gene expression of interleukin-1-alpha (IL-1α), and transforming growth factor-alpha (TGF-α) with DN. Among individuals of East Asian ancestry, the IVW method results indicated a negative causal association between the gene expression of glial cell line-derived neurotrophic factor (GDNF) and DN. Notably, these findings persisted without evidence of horizontal pleiotropy or heterogeneity, ensuring their robustness and reliability. Conclusion The MR analysis underscores a causal association between inflammatory cytokines and DN, providing an important reference and evidence for the study of DN.