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Inguinal hernias are the most common type of enterocele and are frequently caused by defects in the abdominal wall muscles in the groin area. Numerous animal models and human studies have shown that the gut microbiota is associated with skeletal muscle aging and loss. However, the causation between the gut microbiota and inguinal hernia remains unclear. To reveal the causal association between the gut microbiota and inguinal hernia, we conducted a two-sample double-sided Mendelian randomization analysis. We used genome-wide association analysis (GWAS) summary statistics of the gut microbiota from the MiBioGen consortium and GWAS statistics of inguinal hernia from the FinnGen R10 database. The causation between the gut microbiota and inguinal hernia was explored through the inverse variance weighted (IVW) method, MR Egger regression method, weighted median method, weighted model method, and simple model method. Sensitivity analysis was used to test whether the Mendelian randomization analysis results were reliable. Reverse Mendelian randomization was used to conduct effect analysis and sensitivity analysis using the entire gut microbiota as the outcome. The IVW results indicated that Verrucomicrobia, Lactobacilliales, Clostridiaceae1, Butyricococcus, Categorybacter, Hungatella, Odoribacter, and Olsenella had a direct negative causation with the gut microbiota. The reverse Mendelian Randomization results showed that Eubacterium brachygroup, Eubacterium eligensgroup, Eubacterium xylanophilumgroup, Coprococcus3, Ruminococcus1, and Senegalimassilia were directly related to inguinal hernia. The bilateral sensitivity analysis revealed no heterogeneity or horizontal pleiotropy. The results confirmed that 8 bacterial traits had a negative causation with inguinal hernia. Reverse MR analysis revealed a positive correlation between inguinal hernia and 6 bacterial traits. Modulating the diversity and components of the gut microbiota is envisaged to contribute to improving the incidence and prognosis of inguinal hernia.
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Microbioma Gastrointestinal , Estudio de Asociación del Genoma Completo , Hernia Inguinal , Análisis de la Aleatorización Mendeliana , Microbioma Gastrointestinal/genética , Humanos , Hernia Inguinal/genética , Polimorfismo de Nucleótido SimpleRESUMEN
Background: The associations between gut microbiota and chronic obstructive pulmonary disease (COPD) have gained increasing attention and research interest among scholars. However, it remains unclear whether gut microbiota serves as a causal factor for COPD or if it is a consequence of the disease. Therefore, we investigated the causal relationship between COPD and gut microbiota, with intention of providing novel insights and references for clinical diagnosis and treatment. Methods: Based on the genome-wide association study (GWAS) data, we employed MR-Egger regression, random-effects inverse variance-weighted (IVW) method, and weighted median method for bidirectional Mendelian randomization (MR) analysis. We conducted Cochran's Q test for heterogeneity assessment and performed multivariable analysis, sensitivity analysis, and heterogeneity testing to validate the reliability and stability of results. Results: Utilizing MR analysis, mainly employing the IVW method, we detected a collective of 11 gut microbiota species that exhibited associations with COPD. Among them, Bacteroidia, family XIII, Clostridium innocuum group, Barnesiella, Collinsella, Lachnospiraceae NK4A136 group, Lachnospiraceae UCG004, Lachnospiraceae UCG010, and Bacteroidales were found to be protective factors for COPD. On the other hand, Holdemanella and Marvinbryantia were identified as risk factors for COPD. Individuals with elevated levels of Holdemanella exhibited a 1.141-fold higher risk of developing COPD compared to their healthy counterparts, and those with increased levels of Marvinbryantia had a 1.154-fold higher risk. Reverse MR analysis yielded no evidence indicating a causal relationship between gut microbiota and COPD occurrence. Conclusion: Our study established a causal link between 11 specific gut microbiota species and COPD, offering novel insights and valuable references for targeted therapies in the clinical management of COPD. However, our results were mainly based on the analysis of database, and further clinical studies are needed to clarify the effects of gut microbiota on COPD and its specific protective mechanism.
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Microbioma Gastrointestinal , Estudio de Asociación del Genoma Completo , Análisis de la Aleatorización Mendeliana , Enfermedad Pulmonar Obstructiva Crónica , Enfermedad Pulmonar Obstructiva Crónica/microbiología , Enfermedad Pulmonar Obstructiva Crónica/diagnóstico , Enfermedad Pulmonar Obstructiva Crónica/genética , Humanos , Factores de Riesgo , Disbiosis , Medición de Riesgo , Bacterias/genética , Bacterias/aislamiento & purificación , Bacterias/clasificación , Predisposición Genética a la Enfermedad , Fenotipo , Pulmón/microbiología , Pulmón/fisiopatología , Factores ProtectoresRESUMEN
Introduction: The dysbiosis of the oral microbiome is associated with the progression of various systemic diseases, including diabetes. However, the precise causal relationships remain elusive. This study aims to investigate the potential causal associations between oral microbiome and type 2 diabetes (T2D) using Mendelian randomization (MR) analyses. Methods: We conducted bidirectional two-sample MR analyses to investigate the impact of oral microbiome from saliva and the tongue T2D. This analysis was based on metagenome-genome-wide association studies (mgGWAS) summary statistics of the oral microbiome and a large meta-analysis of GWAS of T2D in East Asian populations. Additionally, we utilized the T2D GWAS summary statistics from the Biobank Japan (BBJ) project for replication. The MR methods employed included Wald ratio, inverse variance weighting (IVW), weighted median, MR-Egger, contamination mixture (ConMix), and robust adjusted profile score (RAPS). Results: Our MR analyses revealed genetic associations between specific bacterial species in the oral microbiome of saliva and tongue with T2D in East Asian populations. The MR results indicated that nine genera were shared by both saliva and tongue. Among these, the genera Aggregatibacter, Pauljensenia, and Prevotella were identified as risk factors for T2D. Conversely, the genera Granulicatella and Haemophilus D were found to be protective elements against T2D. However, different species within the genera Catonella, Lachnoanaerobaculum, Streptococcus, and Saccharimonadaceae TM7x exhibited multifaceted influences; some species were positively correlated with the risk of developing T2D, while others were negatively correlated. Discussion: This study utilized genetic variation tools to confirm the causal effect of specific oral microbiomes on T2D in East Asian populations. These findings provide valuable insights for the treatment and early screening of T2D, potentially informing more targeted and effective therapeutic strategies.
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Pueblo Asiatico , Diabetes Mellitus Tipo 2 , Estudio de Asociación del Genoma Completo , Análisis de la Aleatorización Mendeliana , Microbiota , Saliva , Humanos , Diabetes Mellitus Tipo 2/microbiología , Diabetes Mellitus Tipo 2/genética , Saliva/microbiología , Pueblo Asiatico/genética , Microbiota/genética , Boca/microbiología , Asia Oriental/epidemiología , Lengua/microbiología , Predisposición Genética a la Enfermedad , Pueblos del Este de AsiaRESUMEN
Background: Evidence suggests a connection between DNA methylation (DNAm) aging and reproductive aging. However, the causal relationship between DNAm and age at menopause remains uncertain. Methods: Employing established DNAm epigenetic clocks, such as DNAm Hannum age acceleration (Hannum), Intrinsic epigenetic age acceleration (IEAA), DNAm-estimated granulocyte proportions (Gran), DNAm GrimAge acceleration (GrimAgeAccel), DNAm PhenoAge acceleration (PhenoAgeAccel), and DNAm-estimated plasminogen activator inhibitor-1 levels (DNAmPAIadjAge), a bidirectional Mendelian randomization (MR) study was carried out to explore the potential causality between DNAm and menopausal age. The primary analytical method used was the inverse variance weighted (IVW) estimation model, supplemented by various other estimation techniques. Results: DNAm aging acceleration or deceleration, as indicated by Hannum, IEAA, Gran, GrimAgeAccel, PhenoAgeAccel, and DNAmPAIadjAge, did not exhibit a statistically significant causal effect on menopausal age according to forward MR analysis. However, there was a suggestive positive causal association between age at menopause and Gran (Beta = 0.0010; 95% confidence interval (CI): 0.0004, 0.0020) in reverse MR analysis. Conclusion: The observed increase in granulocyte DNAm levels in relation to menopausal age could potentially serve as a valuable indicator for evaluating the physiological status at the onset of menopause.
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Metilación de ADN , Epigénesis Genética , Análisis de la Aleatorización Mendeliana , Menopausia , Humanos , Femenino , Menopausia/genética , Persona de Mediana Edad , Envejecimiento/genética , Adulto , Factores de EdadRESUMEN
Background: Antidiabetic drugs are widely used in clinical practice as essential drugs for the treatment of diabetes. The effect of hypoglycemic drugs on erectile dysfunction has not been fully proven due to the presence of multiple confounding factors. Methods: Two-sample Mendelian randomization (TSMR) was used to examine the causal effect of antidiabetic drugs (including metformin, insulin and gliclazide) on erectile dysfunction. We used five robust analytic methods, of which the inverse variance weighting (IVW) method was the primary method, and also assessed factors such as sensitivity, pleiotropy, and heterogeneity. Effect statistics for exposures and outcomes were downloaded from publicly available data sets, including open Genome-Wide Association Studies (GWAS) and the UK Biobank (UKB). Results: In some of the hypoglycemic drug use, there was a significant causal relationship between metformin use and erectile dysfunction [Beta: 4.9386; OR:1.396E+02 (95% CI:9.13-2135); p-value: 0.0004), suggesting that metformin increased the risk of erectile dysfunction development. Also, we saw that gliclazide use also increased the risk of erectile dysfunction [Beta: 11.7187; OR:0.0125 (95% CI:12.44-1.21E+09); P value: 0.0125). There was no significant causal relationship between insulin use and erectile dysfunction [Beta: 3.0730; OR:21.6071 (95% CI:0.24-1942.38); p-value: 0.1806).Leave-one-out, MR-Egger, and MR-PRESSO analyses produced consistent results. Conclusion: The use of metformin and gliclazide have the potential to increase the risk of erectile dysfunction. There is no causal relationship between the use of insulin and erectile dysfunction.
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Disfunción Eréctil , Hipoglucemiantes , Análisis de la Aleatorización Mendeliana , Metformina , Humanos , Masculino , Disfunción Eréctil/inducido químicamente , Disfunción Eréctil/epidemiología , Hipoglucemiantes/efectos adversos , Metformina/efectos adversos , Metformina/uso terapéutico , Estudio de Asociación del Genoma Completo , Insulina/efectos adversos , Gliclazida/efectos adversos , Gliclazida/uso terapéutico , Diabetes Mellitus Tipo 2/tratamiento farmacológico , Diabetes Mellitus Tipo 2/genéticaRESUMEN
Evidence shows that the composition of the gut microbiota (GM) is associated with depression and anxiety disorders. However, the causal relationship between them remains controversial. To investigate the potential causal relationship between the GM and depression/anxiety disorders and to identify specific bacterial taxa, we conducted a 2-sample Mendelian randomization (MR) analysis on the gut microbiome implicated in depression and anxiety disorders. We incorporated summary data from genome-wide association studies (GWAS) of the microbiome derived from 7738 individuals in the Dutch Microbiome Project and 18,340 individuals in the MiBioGen consortium as our exposure variable. Concurrently, the GWAS of depression and anxiety disorders was employed as our outcome variable. The principal estimates were procured using the inverse-variance weighted test complemented by 4 robust methods: MR Egger, weighted median, simple mode, and weighted mode. In addition, we performed comprehensive sensitivity and directionality analyses. The results showed that 5 bacterial taxa were positively correlated with depression, 6 were negatively correlated; 5 were positively correlated with anxiety disorders, and 11 were negatively correlated. This study provides new insights into the connection between the GM and the pathogenesis of depression and anxiety disorders and offers new perspectives for the diagnosis and treatment of these disorders.
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Trastornos de Ansiedad , Microbioma Gastrointestinal , Estudio de Asociación del Genoma Completo , Análisis de la Aleatorización Mendeliana , Humanos , Microbioma Gastrointestinal/genética , Trastornos de Ansiedad/microbiología , Trastornos de Ansiedad/genética , Trastorno Depresivo/microbiología , Trastorno Depresivo/genética , Depresión/microbiologíaRESUMEN
Several observational studies indicated a close association between prostate cancer and COVID-19. Nevertheless, whether there was a causal effect between them remained obscure. In this study, we aimed to detect the potential association between genetically determined prostate cancer and the risk of COVID-19. A bidirectional Mendelian randomization (MR) study was conducted to investigate the causal links between prostate cancer and COVID-19. Inverse variance weighted (IVW), MR-Egger, weighted median, weighted mode, and simple mode were used to estimate the causality. PIVWâ <â 0.05 was considered statistically significant. The top single nucleotide polymorphisms associated with prostate cancer cases (nâ =â 79,148) and COVID-19 cases (nâ =â 54,071) were extracted from the summary genome-wide association study data obtained from a publicly available database. Cochran Q test was utilized to calculate the degree of heterogeneity. Additionally, we validated our findings in another replication cohort. In the forward MR study, the IVW method suggested no evidence for the causal effect of prostate cancer on COVID-19 susceptibility (ORâ =â 1.00, 95%CI: 0.98-1.02, Pâ =â .978), COVID-19 hospitalization (ORâ =â 1.05, 95%CI: 0.99-1.09, Pâ =â .054), and COVID-19 severity (ORâ =â 1.03, 95%CI: 0.95-1.11, Pâ =â .453). Reverse MR analysis also showed no causal effect of COVID-19 diverse phenotypes on prostate cancer. Furthermore, the result of the East Asian cohort study was consistent with the European cohort. Sensitivity analysis showed no evidence of pleiotropy and heterogeneity. We did not discover genetic evidence to substantiate causal links between prostate cancer and COVID-19. Large-scale randomized controlled trials were required to enhance a more profound comprehension of this relationship in the future.
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COVID-19 , Estudio de Asociación del Genoma Completo , Hospitalización , Análisis de la Aleatorización Mendeliana , Polimorfismo de Nucleótido Simple , Neoplasias de la Próstata , Humanos , Neoplasias de la Próstata/genética , Masculino , COVID-19/genética , COVID-19/epidemiología , Hospitalización/estadística & datos numéricos , SARS-CoV-2/genética , Predisposición Genética a la Enfermedad , Índice de Severidad de la EnfermedadRESUMEN
The causal effects of mental health problems on the risk of infectious diseases remain vague. Investigating them via observational study is challenging as it presents possible confounding factors. Therefore, the objective of this study was to utilize Mendelian randomization (MR) techniques to evaluate the causal relationship between mental health problems and the risk of infectious diseases. Multivariable MR analyses were performed using genome-wide association data for sleep disorders (Nâ =â 216,700), depression (Nâ =â 500,199), anxiety (Nâ =â 290,361), nervous feelings (Nâ =â 450,700), unspecified mental disorder (Nâ =â 218,792), pneumonia (Nâ =â 486,484), skin and subcutaneous tissue infection (SSTI; Nâ =â 218,792), intestinal infectious diseases (IIDs; Nâ =â 218,792), urinary tract infection (Nâ =â 463,010), and central nervous system (CNS) infections (Nâ =â 218,792) among individuals of European ancestry. Independent genetic variants significantly (Pâ <â 10-8) associated with each exposure were considered instruments. The primary analysis used an inverse variance-weighted method, followed by a series of sensitivity analyses. Genetically predicted sleep disorders were associated with an increased risk of SSTI (odds ratio [OR], 1.29 [95% confidence interval (CI), 1.05-1.59]; Pâ =â .017). Genetically predicted depression was linked with an increased risk of CNS infections (OR, 1.59 [95% CI, 1.00-2.53]; Pâ =â .049) and SSTI (1.24 [95% CI, 1.03-1.49]; Pâ =â .024). Genetically predicted anxiety was associated with IIDs (OR, 1.19 [95% CI, 1.03-1.37]; Pâ =â .017) and SSTI (OR, 1.21 [95% CI, 1.02-1.43]; Pâ =â .029). There was no significant causal evidence for genetic prediction of nervous feelings and unspecified mental disorders in IIDs, CNS infections, SSTI, pneumonia, or urinary tract infection. Sensitivity analyses showed that the above causal association estimates were robust. In this MR study, we demonstrated a causal relationship between sleep disorders, depression, anxiety, and the risk of infectious diseases. However, no evidence was found to support causality between nervous feelings, unspecified mental disorders, and the risk of infectious diseases.
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Enfermedades Transmisibles , Estudio de Asociación del Genoma Completo , Análisis de la Aleatorización Mendeliana , Trastornos Mentales , Humanos , Enfermedades Transmisibles/epidemiología , Enfermedades Transmisibles/genética , Trastornos Mentales/epidemiología , Trastornos Mentales/genética , Factores de Riesgo , Trastornos del Sueño-Vigilia/epidemiología , Trastornos del Sueño-Vigilia/genética , Polimorfismo de Nucleótido Simple , MasculinoRESUMEN
Patients with irritable bowel syndrome (IBS) have a notably higher rate of consultations in urology clinics compared to other clinics. They often present with symptoms such as lumbar pain, dysuria, and urinary difficulty that are also associated with upper urinary tract calculi (UUTC). UUTC are the leading cause of nephrectomy in non-oncological cases, early screening for high-risk populations is deemed necessary. We investigated the relationship between IBS and UUTC using a two-sample Mendelian randomization (MR) approach, with the primary analysis conducted using the inverse variance weighting method. To enhance the robustness of our findings, we conducted sensitivity analyses employing Cochran Q test, MR-Egger intercept, and MR-PRESSO. Additionally, we included type 2 diabetes in a multivariate Mendelian randomization analysis for further exploration. Our two-sample MR analysis, employing the inverse variance weighting method, suggested a positive association between IBS and UUTC, with an odds ratio of 1.47, a 95% confidence interval from 1.01 to 2.15, and a P-value of .442. Both weighted median and MR Egger analyses also indicated that IBS may be a risk factor for UUTC, although the results were not statistically significant. The Cochran Q test revealed no evidence of heterogeneity (Pâ >â .05). The MR-Egger intercept and MR-PRESSO analyses did not support the presence of pleiotropy (Pâ >â .05), and no outliers were detected by MR-PRESSO. Sensitivity analyses reinforce the reliability of our findings. Multivariate MR analysis further confirmed that IBS is a risk confirmed factor for UUTC, with significant results (Pâ <â .05). IBS is identified as one of the etiological factors for UUTC, enhancing our understanding of the gut-kidney axis. The specific mechanisms underlying this association warrant further investigation. Clinicians should consider the importance of monitoring for UUTC in patients with IBS.
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Síndrome del Colon Irritable , Análisis de la Aleatorización Mendeliana , Humanos , Síndrome del Colon Irritable/genética , Síndrome del Colon Irritable/complicaciones , Factores de Riesgo , Cálculos Urinarios/genéticaRESUMEN
The timely and precise diagnosis of appendicitis was deemed essential. This study sought to examine the diagnostic significance of hub genes linked to appendicitis and to delve deeper into the pathophysiology of the condition. Differential gene expression analysis revealed distinct genes in the appendicitis group compared to other abdominal pain group, while weighted gene co-expression network analysis identified appendicitis-associated modules. Further analysis of common genes was conducted using Kyoto Encyclopedia of Genes and Genomes and Gene Ontology analysis. The diagnostic efficiency of hub genes was explored through the use of nomograms and receiver operator characteristic curves. Additionally, immunoinfiltration analysis was performed to investigate the immune cell infiltration in both groups. The causal relationship between hub genes and appendicitis, as well as gut microbiota and appendicitis, was ultimately examined through Mendelian randomization. By conducting differential expression analysis and weighted gene co-expression network analysis, a total of 757 common genes were identified. Subsequent Kyoto Encyclopedia of Genes and Genomes and Gene Ontology enrichment analyses revealed that these common genes were primarily associated with positive regulation of cell adhesion, focal adhesion, protein serine kinase activity, and amyotrophic lateral sclerosis. Utilizing Cytoscape software, the top 10 genes with the highest degree of interaction were identified as RPS3A, RPSA, RPL5, RPL37A, RPS27L, FLT3LG, ARL6IP1, RPL32, MRPL3, and GSPT1. Evaluation using nomograms and receiver operator characteristic curves demonstrated the diagnostic value of these hub genes. Ultimately, a causal relationship between hub genes and appendicitis was not identified in our study. Nevertheless, our findings indicate that appendicitis is correlated with 9 gut microbiota. This study identified 5 hub genes, specifically HSP90AA1, RPL5, MYC, CD44, and RPS3A, which exhibit diagnostic significance of appendicitis. Furthermore, the elucidation of these hub genes aids in enhancing our comprehension of the molecular pathways implicated in the development of appendicitis.
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Apendicitis , Análisis de la Aleatorización Mendeliana , Humanos , Apendicitis/genética , Apendicitis/diagnóstico , Perfilación de la Expresión Génica/métodos , Curva ROC , Redes Reguladoras de Genes , Nomogramas , Microbioma Gastrointestinal/genéticaRESUMEN
BACKGROUND AND AIMS: Epidemiological evidence on the associations between female reproductive features and nonalcoholic fatty liver disease (NAFLD) is conflicting. To explore their causalities, we conducted a Mendelian randomization (MR) study. METHODS: Summary-level data were obtained, and univariable MR was performed to explore the causalities between female reproductive features and NAFLD. And we performed multivariable MR and MR mediation analysis to explore the mediation effects of educational attainment (EA) and body mass index (BMI) for these associations. Sensitivity analyses were performed to evaluate pleiotropy and heterogeneity. RESULTS: There were causal effects of age at menarche (AAMA) (odds ratio [OR]: 0.817, 95% confidence interval [CI]: 0.736-0.907, per year-increase), age at first birth (AFB) (OR: 0.851, 95%CI: 0.791-0.926, per year-increase) and age at first sexual intercourse (AFS) (OR: 0.676, 95%CI: 0.511-0.896, per standard deviation-increase) on NAFLD risk. Besides, the causal effects were also observed on NAFLD phenotypes including liver fat content (LFC) and alanine aminotransferase (ALT). Further mediation analysis showed that BMI mediated partial proportion of effects of AAMA and AFS on NAFLD/ALT, AFB on NAFLD/LFC/ALT, while EA mediated partial proportion of effects of AFB on NAFLD/LFC/ALT, and AFS on NAFLD/ALT. CONCLUSIONS: This study provided convincing evidence that early AAMA, AFB, and AFS were risk factors for NAFLD. Reproductive health education, obesity management, and education spread might be the beneficial strategies for NAFLD prevention.
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Índice de Masa Corporal , Análisis de la Aleatorización Mendeliana , Enfermedad del Hígado Graso no Alcohólico , Humanos , Enfermedad del Hígado Graso no Alcohólico/genética , Enfermedad del Hígado Graso no Alcohólico/epidemiología , Enfermedad del Hígado Graso no Alcohólico/etiología , Femenino , Factores de Riesgo , Menarquia , Reproducción/genética , Polimorfismo de Nucleótido Simple , Predisposición Genética a la Enfermedad , Oportunidad RelativaRESUMEN
Kidney Stone Disease (KSD) constitutes a multifaceted disorder, emerging from a confluence of environmental and genetic determinants, and is characterized by a high frequency of occurrence and recurrence. Our objective is to elucidate potential causative proteins and identify prospective pharmacological targets within the context of KSD. This investigation harnessed the unparalleled breadth of plasma protein and KSD pooled genome-wide association study (GWAS) data, sourced from the United Kingdom Biobank Pharma Proteomics Project (UKBPPP) and the FinnGen database version R10. Through Mendelian randomization analysis, proteins exhibiting a causal influence on KSD were pinpointed. Subsequent co-localization analyses affirmed the stability of these findings, while enrichment analyses evaluated their potential for pharmacological intervention. Culminating the study, a phenome-wide association study (PheWAS) was executed, encompassing all phenotypes (2408 phenotypes) catalogued in the FinnGen database version R10. Our MR analysis identified a significant association between elevated plasma levels of proteins FKBPL, ITIH3, and SERPINC1 and increased risk of KSD based on genetic predictors. Conversely, proteins CACYBP, DAG1, ITIH1, and SEMA6C showed a protective effect against KSD, documented with statistical significance (PFDR<0.05). Co-localization analysis confirmed these seven proteins share genetic variants with KSD, signaling a shared genetic basis (PPH3 + PPH4 > 0.8). Enrichment analysis revealed key pathways including hyaluronan metabolism, collagen-rich extracellular matrix, and serine-type endopeptidase inhibition. Additionally, our PheWAS connected the associated proteins with 356 distinct diseases (PFDR<0.05), highlighting intricate disease interrelations. In conclusion, our research elucidated a causal nexus between seven plasma proteins and KSD, enriching our grasp of prospective therapeutic targets.
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Estudio de Asociación del Genoma Completo , Análisis de la Aleatorización Mendeliana , Proteoma , Humanos , Nefrolitiasis/genética , Nefrolitiasis/sangre , Nefrolitiasis/metabolismo , Fenotipo , ProteómicaRESUMEN
OBJECTIVE: To investigate the causal association between immune cell and different types of sepsis by using Mendelian randomization (MR) method, and to find the immune cell phenotypes causally associated with sepsis. METHODS: Summary data for various circulating immune cell phenotypes were obtained from the GWAS catalog (GCST90001391-GCST90002121). Sepsis data were sourced from the UK Biobank database. Single nucleotide polymorphisms (SNP) were used as instrumental variables. The correlation threshold of P < 5×10-6 was used to identify the strongly correlated instrumental variables, and the code was used to remove the linkage disequilibrium and the instrumental variables with F-value < 10. Inverse variance weighting (IVW) was used as the main research method to evaluate the stability and reliability of the results, including Cochran's Q test, MR-Egger regression and Leave one out. Reverse MR analysis was performed based on the immunophenotypic results of the removal of horizontal pleiotropy, and the immune cell phenotype with one-way causal association was obtained. Odds ratio (OR) and 95% confidence interval (95%CI) were used to represent the effect value of the results. RESULTS: CD16 on CD14-CD16+; monocyte had horizontal pleiotropy in sepsis (OR = 0.965 4, 95%CI was 0.933 5-0.998 3, P = 0.039 6). There were five immunophenotypes that had reverse causal associations with the types associated with sepsis. After excluding immune cell phenotypes with horizontal pleiotropy and reverse causation, a total of 42 immune cell phenotypes with sepsis, 36 immune cell phenotypes with sepsis (28-day death in critical care), 32 immune cell phenotypes with sepsis (critical care), 44 immune cell phenotypes with sepsis (28-day death), and 30 immune cell phenotypes had potential causal associations with sepsis (under 75 years old). After false discovery rate (FDR) correction, the correlations between BAFF-R on IgD- CD38br and sepsis (28-day death) were negative and strong (OR = 0.737 8, 95%CI was 0.635 9-0.856 0, P = 6.05×10-5, PFDR = 0.044 2). CONCLUSIONS: A variety of immune cell phenotypes may have a protective effect on sepsis, especially BAFF-R on IgD- CD38br expression is negatively correlated with sepsis (28-day death), which provides a new idea for immune modulation therapy in sepsis.
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Estudio de Asociación del Genoma Completo , Análisis de la Aleatorización Mendeliana , Polimorfismo de Nucleótido Simple , Sepsis , Humanos , Sepsis/genética , Fenotipo , Desequilibrio de Ligamiento , Oportunidad RelativaRESUMEN
BACKGROUND: Previous observational studies have hinted at a potential correlation between aplastic anemia (AA) and the gut microbiome. However, the precise nature of this bidirectional causal relationship remains uncertain. METHODS: We conducted a bidirectional two-sample Mendelian randomization (MR) study to investigate the potential causal link between the gut microbiome and AA. Statistical analysis of the gut microbiome was based on data from an extensive meta-analysis (genome-wide association study) conducted by the MiBioGen Alliance, involving 18,340 samples. Summary statistical data for AA were obtained from the Integrative Epidemiology Unit database. Single -nucleotide polymorphisms (SNPs) were estimated and summarized using inverse variance weighted (IVW), MR Egger, and weighted median methods in the bidirectional MR analysis. Cochran's Q test, MR Egger intercept test, and sensitivity analysis were employed to assess SNP heterogeneity, horizontal pleiotropy, and stability. RESULTS: The IVW analysis revealed a significant correlation between AA and 10 bacterial taxa. However, there is currently insufficient evidence to support a causal relationship between AA and the composition of gut microbiome. CONCLUSION: This study suggests a causal connection between the prevalence of specific gut microbiome and AA. Further investigation into the interaction between particular bacterial communities and AA could enhance efforts in prevention, monitoring, and treatment of the condition.
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Anemia Aplásica , Microbioma Gastrointestinal , Análisis de la Aleatorización Mendeliana , Polimorfismo de Nucleótido Simple , Humanos , Anemia Aplásica/genética , Anemia Aplásica/microbiología , Estudio de Asociación del Genoma CompletoRESUMEN
Background: Identification of the unknown pathogenic factor driving atherosclerosis not only enhances the development of disease biomarkers but also facilitates the discovery of new therapeutic targets, thus contributing to the improved management of coronary artery disease (CAD). We aimed to identify causative protein biomarkers in CAD etiology based on proteomics and 2-sample Mendelian randomization (MR) design. Methods: Serum samples from 33 first-onset CAD patients and 31 non-CAD controls were collected and detected using protein array. Differentially expressed analyses were used to identify candidate proteins for causal inference. We used 2-sample MR to detect the causal associations between the candidate proteins and CAD. Network MR was performed to explore whether metabolic risk factors for CAD mediated the risk of identified protein. Vascular expression of candidate protein in situ was also detected. Results: Among the differentially expressed proteins identified utilizing proteomics, we found that circulating Golgi protein 73 (GP73) was causally associated with incident CAD and other atherosclerotic events sharing similar etiology. Network MR approach showed low-density lipoprotein cholesterol and glycated hemoglobin serve as mediators in the causal pathway, transmitting 42.1% and 8.7% effects from GP73 to CAD, respectively. Apart from the circulating form of GP73, both mouse model and human specimens imply that vascular GP73 expression was also upregulated in atherosclerotic lesions and concomitant with markers of macrophage and phenotypic switching of vascular smooth muscle cells (VSMCs). Conclusions: Our study supported GP73 as a biomarker and causative for CAD. GP73 may involve in CAD pathogenesis mainly via dyslipidemia and hyperglycemia, which may enrich the etiological information and suggest future research direction on CAD.
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Biomarcadores , Enfermedad de la Arteria Coronaria , Proteínas de la Membrana , Análisis de la Aleatorización Mendeliana , Proteómica , Humanos , Enfermedad de la Arteria Coronaria/sangre , Enfermedad de la Arteria Coronaria/genética , Enfermedad de la Arteria Coronaria/patología , Ratones , Animales , Proteínas de la Membrana/genética , Proteínas de la Membrana/sangre , Masculino , Femenino , Biomarcadores/sangre , Persona de Mediana Edad , LDL-Colesterol/sangre , Hemoglobina Glucada/análisis , Hemoglobina Glucada/metabolismo , Estudios de Casos y Controles , Aterosclerosis/sangre , Aterosclerosis/genéticaRESUMEN
OBJECTIVE: Sarcopenia and cognitive impairment often coexist in the elderly. In this study, we investigated the causal relationship between sarcopenia-related muscle characteristics and cognitive performance. METHODS: We used linkage disequilibrium score regression (LDSC) and Mendelian Randomization (MR) analyses to estimate genetic correlations and causal relationships between genetically predicted sarcopenia-related muscle traits and cognitive function, as well as cognitive function-based discovery samples and replicated samples. Estimated effect sizes were derived from a fixed-effects meta-analysis. RESULTS: Our univariate genome-wide association study (GWAS) meta-analysis indicated a causal relationship between appendicular lean mass (ALM) (ß = 0.049; 95% confidence interval (CI): 0.032-0.066, P < 0.001) and walking pace (ß = 0.349; 95% CI: 0.210-0.487, P < 0.001) with cognitive function, where a causal relationship existed between ALM in both male and female (ßALM-Male(M) = 0.060; 95% CI: 0.031-0.089, PALM-M < 0.001; ßALM-Female(F) = 0.045; 95% CI: 0.020-0.069, PALM-F < 0.001) with cognitive function. Low grip strength was not causally associated with cognitive function (ß = -0.045; 95% CI: -0.092 - -0.002, P = 0.062). A reverse causality GWAS meta-analysis showed a causal relationship between cognitive function and ALM (ß = 0.033; 95% CI: 0.018-0.048, P < 0.001) and walking pace (ß = 0.039; 95% CI: 0.033-0.051, P < 0.001), where ALM in both male and female showed a causality (ßALM-M = 0.041; 95% CI: 0.019-0.063, PALM-M < 0.001; ßALM-F = 0.034; 95% CI: 0.010-0.058, PALM-F = 0.005). Cognitive function was not causally related to low grip strength (ß = -0.024; 95% CI: -0.073-0.025, P = 0.344). Multivariable MR1 (MVMR1) analyses showed a significant causal relationship for ALM (ß = 0.077; 95% CI: 0.044-0.109, P = 0.000) and walking pace (ß = 0.579; 95% CI: 0.383-0.775, P = 0.000) and cognitive function. Multivariable MR2 (MVMR2) multivariate analysis showed that ALM causality remained (ß = 0.069; 95% CI: 0.033-0.106, P = 0.000), and walking pace (ß = 0.589; 95% CI: 0.372-0.806, P = 0.000). CONCLUSIONS: Bidirectional two-sample MR demonstrated that sarcopenia-related muscle characteristics and cognitive performance were positive causal genetic risk factors for each other, while a multivariable MR study demonstrated that low ALM and a slow walking pace were causally involved in reduced cognitive performance. This study suggests a causal relationship between sarcopenia and cognitive impairment in older adults and provide new ideas for prevention and treatment.
Asunto(s)
Disfunción Cognitiva , Estudio de Asociación del Genoma Completo , Análisis de la Aleatorización Mendeliana , Sarcopenia , Humanos , Sarcopenia/genética , Masculino , Femenino , Disfunción Cognitiva/genética , Anciano , Polimorfismo de Nucleótido Simple , Desequilibrio de LigamientoRESUMEN
Mendelian randomization (MR) is a powerful epidemiological method for causal inference. However, its recent surge in popularity has brought two concerning trends. First, the public availability of summary results from genome-wide association studies has led to an explosion of low-quality two-sample mendelian randomization (2SMR) studies. These studies add minimal - if any - value and overwhelm reviewers and journals. Second, the availability of large datasets with individual-level genotype data, like UK Biobank, has spurred the development and use of novel MR methods. However, some methods are being applied without proper testing, leading to misleading results, as exemplified by recent spurious findings that are being retracted and/or corrected relating to vitamin D. What can editors and peer reviewers do to handle the deluge of 2SMR studies and the premature application of highly complex MR methods? We advise editors to simply reject papers that only report 2SMR findings, with no additional supporting evidence. For reviewers receiving such papers, we provide a template for rejection. In addition, reviewers should demand rigorous testing of novel methods, including through the use of positive and negative controls before they are applied. Rejecting non-contributory 2SMR papers and imposing intensive scrutiny to novel methods is crucial if the scientific community is to reclaim MR.
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Estudio de Asociación del Genoma Completo , Análisis de la Aleatorización Mendeliana , Análisis de la Aleatorización Mendeliana/métodos , Humanos , Estudio de Asociación del Genoma Completo/métodosRESUMEN
Genome wide association studies (GWAS) have associated thousands of loci with quantitative human blood trait variation. Loci and related genes that impact blood trait variation may regulate blood cell-intrinsic biological processes, or alternatively impact blood cell development and function via systemic factors. Clinical observations have linked tobacco or alcohol use with altered blood traits, but these trait relationships have not been systematically explored at the genetic level. Applying a Mendelian randomization (MR) framework to GWAS summary statistics, we explore relationships between smoking and drinking behaviors with 15 quantitative blood traits. We find that the effects of smoking and drinking are confined to red blood cell traits. An instrumental variable (IV) comprised of 113 single nucleotide polymorphisms (SNPs) associated with smoking initiation is associated with decreased hemoglobin (HGB: Effect = -0.07 standard deviation units [95% confidence interval = -0.03 to -0.10 SD units], P = 1x10-4), hematocrit (HCT: Effect = -0.06 [-0.03 - -0.09] SD units, P = 4x10-4), and red blood cell count (RBC: Effect = -0.05 [-0.02 - -0.09] SD units, P = 5x10-3) without impacting platelet count (P = 0.9) or white blood cell count (P = 0.6). Similarly, an IV associated with an increased number of alcoholic drinks consumed per week is associated with decreased HGB (Effect = -0.22 [-0.42 - -0.02] SD units, P = 3x10-2) and RBC (Effect = -0.27 [-0.51 - -0.03] SD units, P = 3x10-2). Using multivariable MR and causal mediation analyses, we find that an increased genetic predisposition to smoking initiation is associated with increased alcohol intake, and that alcohol use mediates the genetic effect of smoking initiation on red blood cell traits. These findings demonstrate a novel role for genetically influenced behaviors on human blood traits, revealing opportunities to dissect related pathways and mechanisms that influence hematopoiesis and blood cell biology.
Asunto(s)
Consumo de Bebidas Alcohólicas , Estudio de Asociación del Genoma Completo , Polimorfismo de Nucleótido Simple , Humanos , Consumo de Bebidas Alcohólicas/genética , Análisis de la Aleatorización Mendeliana , Hemoglobinas/metabolismo , Hemoglobinas/genética , Fumar/genética , Eritrocitos/metabolismo , Sitios de Carácter Cuantitativo , Recuento de Eritrocitos , HematócritoRESUMEN
BACKGROUND: Gastroesophageal reflux disease (GERD) and cholecystitis share overlapping symptoms, including belching, acid reflux, and heartburn. Despite this, the causal relationship between these two conditions remains unclear. This study aimed to investigate the causal link between GERD and cholecystitis using a Mendelian randomization (MR) approach. METHODS: A two-sample MR analysis was conducted using the inverse variance weighted (IVW), weighted median, weighted mode, and MR-Egger method to assess the causal effects of GERD on the cholecystitis risk. Genome-wide association studies (GWASs) on GERD (N cases = 129080; N controls = 473524) and cholecystitis (N cases = 1930; N controls =359264) were obtained from the IEU Open GWAS project. Various techniques were employed to assess pleiotropy and heterogeneity. RESULTS: Seventy-seven single nucleotide polymorphisms from GERD GWASs were selected as instrumental variables (IVs). The primary IVW method revealed a significant association between GERD and an increased risk of cholecystitis (odds ratio = 1.004; 95% confidence interval = 1.003-1.005, p = 2.68 × 10- 9). The absence of heterogeneity and pleiotropy in the data supports the reliability of the results. CONCLUSIONS: GERD was positively associated with the risk of cholecystitis. This study provides insights into potential avenues for the development of prevention strategies and treatment options for cholecystitis in patients with GERD. These findings contribute to our understanding of the complex interplay between GERD and cholecystitis.
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Colecistitis , Reflujo Gastroesofágico , Estudio de Asociación del Genoma Completo , Análisis de la Aleatorización Mendeliana , Polimorfismo de Nucleótido Simple , Humanos , Reflujo Gastroesofágico/genética , Reflujo Gastroesofágico/complicaciones , Colecistitis/genética , Predisposición Genética a la Enfermedad , Factores de Riesgo , CausalidadRESUMEN
BACKGROUND: Atopic dermatitis (AD), psoriasis (PSO), rosacea, and other related immune skin diseases are affected by multiple complex factors such as genetic and microbial components. This research investigates the causal relationships between specific skin microbiota and these diseases by using Mendelian randomization (MR), and Bayesian weighted Mendelian randomization (BWMR). METHODS: We utilized genome-wide association study (GWAS) data to analyze the associations between various skin bacteria and three dermatological diseases. Single nucleotide polymorphisms (SNPs) served as instrumental variables (IVs) in MR methods, including inverse variance weighted (IVW), and MR Egger. BWMR was employed to validate results and address pleiotropy. RESULTS: The IVW analysis identified significant associations between specific skin microbiota and dermatological diseases. ASV006_Dry, ASV076_Dry, and Haemophilus_Dry were significantly positively associated with AD, whereas Kocuria_Dry was negatively associated. In PSO, ASV005_Dry was negatively associated, whereas ASV004_Dry, Rothia_Dry, and Streptococcus_Moist showed positive associations. For rosacea, ASV023_Dry was significantly positively associated, while ASV016_Moist, Finegoldia_Dry, and Rhodobacteraceae_Moist were significantly negatively associated. These results were corroborated by BWMR analysis. CONCLUSION: Bacterial species such as Finegoldia, Rothia, and Streptococcus play crucial roles in the pathogenesis of AD, PSO, and rosacea. Understanding these microbial interactions can aid in developing targeted treatments and preventive strategies, enhancing patient outcomes and quality of life.