Association between gut microbiota and preeclampsia-eclampsia: a two-sample Mendelian randomization study

Li, Pengsheng; Wang, Haiyan; Guo, Lan; Gou, Xiaoyan; Chen, Gengdong; Lin, Dongxin; Fan, Dazhi; Guo, Xiaoling; Liu, Zheng­ping

doi:10.1186/s12916-022-02657-x

Cited by 265 publications

(193 citation statements)

References 71 publications

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“…Under this condition, however, the gut microbiota study has almost become the Bi dobacterium's home eld. In contrast, the other study by Pengsheng Li, which used a looser P-value threshold (P < 1 × 10 − 5 ) [15] , will make more sense in the whole gut microbiota eld. Just as Hannah J Jones mentioned in his study, when the instrument sets were small, they included independent SNPs meeting a fatty acid GWAS p-value of 5 × 10 − 5 or less into their instrument sets [16] .…”

Section: Instrumental Variable (Iv)mentioning

confidence: 87%

A Bidirectional Mendelian Randomization reveals the association between the abundance of Gut Microbiota and multiple subtypes of Lung Cancer

Chen

Wang

Gao

et al. 2023

Preprint

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Background: Using Mendelian randomization research, several specialists are now curious to learn more about the association between gut bacteria and lung cancer and its subtypes. However, their GWAS summary statistics and statistical methodologies are outdated and constrained. Methods: A two-sample bidirectional Mendelian randomization study was performed using the summary statistics of gut microbiota from the largest genome-wide meta-analysis conducted by the MiBioGen. The summary statistics of lung cancer were extracted from the largest lung cancer GWAS meta-analysis.Inverse variance weighted (multiplicative random effects), MR-Egger regression, weighted median, weighted model and MR-PRESSO were used to examine the causal relationship. Reverse MR analysis was also performed on the lung cancer and its subtypes and microbiota. Result:Inverse variance weighted(IVW) estimates suggested that we identified 2 bacterial taxon that were causally associated with lung cancer, 1 bacterial taxon with Lung Adenocarcinoma (LUAD), 3 bacterial taxon with Small Cell Lung Carcinoma (SCLC),1 bacterial taxon with Lung cancer in never smokers (LCNS) and 3 bacterial taxon with Lung cancer in ever smokers (LCES).Also in the reverse MR analysis,we identified 1 bacterial taxon that were causally associated with lung cancer, 5 bacterial taxon with Squamous Cell Lung Carcinoma (LUSC), 1 bacterial taxon with LCNS and 5 bacterial taxon with LCES. Conclusion: In summary, this two-sample MR study found that several gut microbiota taxon was causally associated with lung cancer and its subtypes. Further studies are needed to clarify the effect of gut microbiota on them, including their specific mechanism.

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Section: Instrumental Variable (Iv)mentioning

confidence: 87%

A Bidirectional Mendelian Randomization reveals the association between the abundance of Gut Microbiota and multiple subtypes of Lung Cancer

Chen

Wang

Gao

et al. 2023

Preprint

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“…where K represents the amount of IVs, N represents the sample size, total R 2 represents the proportion of variance in the exposure explained by the genetic variants, and by calculating the F-statistic, the strength of IVs was assessed. No significantly weak instrumental bias (Li et al, 2022) was observed when the F-statistic was >10. The inverse-variance weighted (IVW) model was applied as the major statistical method (Chen L. et al, 2022).…”

Section: Statistical Analysismentioning

confidence: 88%

Circulating metabolites and depression: a bidirectional Mendelian randomization

et al. 2023

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BackgroundStudies have shown an association between depression and circulating metabolites, but the causal relationship between them has not been elucidated. The purpose of this study was to elucidate the causal relationship between circulating metabolites and depression and to explore the role of circulating metabolites in depression.MethodsIn this study, the top single-nucleotide polymorphisms (SNPs) associated with circulating metabolites (n = 24,925) and depression (n = 322,580) were obtained based on the publicly available genome-wide association study using two-sample Mendelian randomization (MR). SNP estimates were summarized through inverse variance weighted, MR Egger, weighted median, MR pleiotropy residual sum and outlier, and “leave-one-out” methods.ResultsApolipoprotein A-I (OR 0.990, 95% CI 981–0.999) and glutamine (OR 0.985, 95% CI 0.972–0.997) had protective causal effects on depression, whereas acetoacetate (OR 1.021, 95% CI 1.009–1.034), glycoproteins (OR 1.005, 95% CI 1.000–1.009), isoleucine (OR 1.013, 95% CI 1.002–1.024), and urea (OR 1.020, 95% CI 1.000–1.039) had an anti-protective effect on depression. Reversed MR showed no effect of depression on the seven circulating metabolites.ConclusionIn this study, MR analysis showed that apolipoprotein A-I and glutamine had a protective effect on depression, and acetoacetate, glycoprotein, isoleucine, glucose, and urea may be risk factors for depression. Therefore, further research must be conducted to translate the findings into practice.

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“…Currently, MR studies based on gut microbiome GWAS data are increasingly prevalent. Regarding the selection of IVs for each exposure (taxon), two main parameter settings concerning the threshold of LD r 2 and genetic distance are commonly used: r 2 < 0.001 with 10,000 kb (Li et al, 2022), or r 2 < 0.1 with 500 kb (Ni et al, 2021). In this study, we employed the parameter setting of r 2 < 0.1 with a genetic distance of 500kb to select IVs.…”

Section: Discussionmentioning

confidence: 99%

Causal effects of gut microbiota on the risk of chronic kidney disease: a Mendelian randomization study

Ming-li

Cai

Luo

et al. 2023

Front. Cell. Infect. Microbiol.

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BackgroundPrevious studies have reported that gut microbiota is associated with an increased risk of chronic kidney disease (CKD) progression. However, whether gut microbiota has a causal effect on the development of CKD has not been revealed. Thus, we aimed to analyze the potential causal effect of gut microbiota on the risk of CKD using mendelian randomization (MR) study.Materials and MethodsIndependent single nucleotide polymorphisms closely associated with 196 gut bacterial taxa (N = 18340) were identified as instrumental variables. Two-sample MR was performed to evaluate the causal effect of gut microbiota on CKD (N = 480698), including inverse-variance-weighted (IVW) method, weighted median method, MR-Egger, mode-based estimation and MR-PRESSO. The robustness of the estimation was tested by a series of sensitivity analyses including Cochran’s Q test, MR-Egger intercept analysis, leave-one-out analysis and funnel plot. Statistical powers were also calculated.ResultsThe genetically predicted higher abundance of order Desulfovibrionales was causally associated with an increased risk of CKD (odds ratio = 1.15, 95% confidence interval: 1.05-1.26; p = 0.0026). Besides, we also detected potential causalities between nine other taxa (Eubacterium eligens group, Desulfovibrionaceae, Ruminococcaceae UCG-002, Deltaproteobacteria, Lachnospiraceae UCG-010, Senegalimassilia, Peptostreptococcaceae, Alcaligenaceae and Ruminococcus torques group) and CKD (p < 0.05). No heterogeneity or pleiotropy was detected for significant estimates.ConclusionWe found that Desulfovibrionales and nine other taxa are associated with CKD, thus confirming that gut microbiota plays an important role in the pathogenesis of CKD. Our work also provides new potential indicators and targets for screening and prevention of CKD.

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Association between gut microbiota and preeclampsia-eclampsia: a two-sample Mendelian randomization study

Cited by 265 publications

References 71 publications

A Bidirectional Mendelian Randomization reveals the association between the abundance of Gut Microbiota and multiple subtypes of Lung Cancer

A Bidirectional Mendelian Randomization reveals the association between the abundance of Gut Microbiota and multiple subtypes of Lung Cancer

Circulating metabolites and depression: a bidirectional Mendelian randomization

Causal effects of gut microbiota on the risk of chronic kidney disease: a Mendelian randomization study

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