Causal relationship between gut microbiota and cancers: a two-sample Mendelian randomisation study

Long, Yiwen; Tang, Lanhua; Zhou, Yangying; Zhao, Shushan; Zhu, Hong

doi:10.1186/s12916-023-02761-6

Cited by 154 publications

(126 citation statements)

References 77 publications

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“…We used IVW and MR-Egger tests to assess heterogeneity, which was quantified by the Cochran's Q statistic, with heterogeneity considered significant if the p-value was less than 0.05. 28 The intercept term of the MR-Egger regression was used to determine the presence of pleiotropy, which if present in the IVs, that is, a p-value of less than 0.05, would lead to the assumption of exclusion and independence of the data not being valid and the results may not be robust, and the MR-PRESSO was also used to detect and correct for horizontal pleiotropy outliers in the MR test. 29 Additionally, we performed leave-one-out analysis to determine whether causal estimates were driven by any single SNP.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, to rule out potential limitations of MR analysis, for the associations of p ‐values < 0.05 in the IVW analysis of the individual GM and facial skin aging, we used sensitivity analysis to validate the robustness and reliability of the results by assessing the heterogeneity and pleiotropy of the data. We used IVW and MR‐Egger tests to assess heterogeneity, which was quantified by the Cochran's Q statistic, with heterogeneity considered significant if the p ‐value was less than 0.05 28 . The intercept term of the MR‐Egger regression was used to determine the presence of pleiotropy, which if present in the IVs, that is, a p ‐value of less than 0.05, would lead to the assumption of exclusion and independence of the data not being valid and the results may not be robust, and the MR‐PRESSO was also used to detect and correct for horizontal pleiotropy outliers in the MR test 29 .…”

Section: Methodsmentioning

confidence: 99%

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Genetic insights into the gut microbiota and risk of facial skin aging: A Mendelian randomization study

Chen,

Che,

Liu

et al. 2024

Skin Research and Technology

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BackgroundA growing number of experimental studies have shown an association between the gut microbiota (GM) and facial skin aging. However, the causal relationship between GM and facial skin aging remains unclear to date.MethodsWe conducted a two‐sample Mendelian randomization (MR) analysis to investigate the potential causal relationship between GM and facial skin aging. MR analysis was mainly performed using the inverse‐variance weighting (IVW) method, complemented by the weighted median (MW) method, MR‐Egger regression, and weighted mode, and sensitivity analysis was used to test the reliability of MR analysis results.ResultsEleven GM taxa associated with facial skin aging were identified by IVW method analysis, Family Victivallaceae (p = 0.010), Genus Eubacterium coprostanoligenes group (p = 0.038), and Genus Parasutterella (p = 0.011) were negatively associated with facial skin aging, while Phylum Verrucomicrobia (p = 0.034), Family Lactobacillaceae (p = 0.017) and its subgroups Genus Lactobacillus (p = 0.038), Genus Parabacteroides (p = 0.040), Genus Eggerthella (p = 0.049), Genus Family XIII UCG001 (p = 0.036), Genus Phascolarctobacterium (p = 0.027), and Genus Ruminococcaceae UCG005 (p = 0.012) were positively associated with facial skin aging. At Class and Order levels, we did not find a causal relationship between GM and facial skin aging. Results of sensitivity analyses did not show evidence of pleiotropy and heterogeneity.ConclusionOur findings confirm the causal relationship between GM and facial skin aging, providing a new perspective on delaying facial aging.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Genetic insights into the gut microbiota and risk of facial skin aging: A Mendelian randomization study

Chen,

Che,

Liu

et al. 2024

Skin Research and Technology

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“…8,9 Moreover, in non-metabolic conditions such as cancers, intestinal microbiota can be considered as a risk or preventive element. 10 However, limited attention was paid on the role of gut microbiota in ED in the past. It has been reported that gut microbiota diversity of ED patients was significantly different with healthy controls.…”

Section: Introductionmentioning

confidence: 99%

Genetically proxied intestinal microbiota and risk of erectile dysfunction

Zhang,

Xiong,

Zhang

et al. 2023

Andrology

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BackgroundThe interaction between intestinal microbiota and erectile dysfunction (ED) is less investigated. This study was performed to explore the association between intestinal microbiota and ED.MethodsIn this two‐sample Mendelian randomization (MR) study, genetic variants of gut microbiota were obtained from MiBioGen consortium containing 18,340 individuals. Six methods including inverse variance weighting (IVW), MR‐Egger, weighted median, maximum likelihood, MR robust adjusted profile score, and MR pleiotropy residual sum and outlier were used to investigate the causal links between intestinal microbiota and ED. Furthermore, reverse MR analysis was performed to exclude the causal impact of ED on gut microbiota.ResultsAs revealed by the IVW estimator, the risks of ED were raised by genetically proxied Lachnospiraceae (OR: 1.27), Lachnospiraceae NC2004 group (OR: 1.17), Oscillibacter (OR: 1.20), Senegalimassilia (OR: 1.32) (All P < 0.05) and Tyzzerella‐3 (OR: 1.14, P < 0.05). It was observed that Ruminococcaceae UCG013 exerted protective effect against ED (OR: 0.77, P < 0.05). These results were consistent with other estimators in sensitivity analyses. In reverse MR analyses, genetic liability to ED did not alter the abundances of Lachnospiraceae, Lachnospiraceae NC2004 group, Oscillibacter, Senegalimassilia, Tyzzerella‐3, and Ruminococcaceae UCG013 (All P > 0.05). No heterogeneity and pleiotropy were detected by Cochran's Q‐test, MR‐Egger, and global test (All P > 0.05).ConclusionsThis study provided novel evidence that genetically proxied Lachnospiraceae, Lachnospiraceae NC2004 group, Oscillibacter, Senegalimassilia, Tyzzerella‐3, and Ruminococcaceae UCG013 had potentially causal effects on ED. Further studies are needed to clarify the biological mechanisms linking intestinal microbiota to ED.

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“…MR has proven to be a valuable tool in exploring causal association between complex traits or diseases and phenotypes. Recently, it has been applied to study the causal link between gut microbiota and various diseases, including mental disorders, 17 cardiovascular diseases, 18 and cancer 19 . In this particular study, we employed a two‐sample MR analysis to assess the potential relationship between gut microbiota and acne, using genome‐wide association study (GWAS) summary statistics from the MiBioGen consortium and FinnGen study.…”

Section: Introductionmentioning

confidence: 99%

Gut microbiota and acne: A Mendelian randomization study

Cao,

Guo,

Chang

et al. 2023

Skin Research and Technology

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BackgroundPrior observational studies have identified a relationship between the composition of gut microbiota and the onset of acne. To ascertain the causal relationship underlying this association, we adopted the Mendelian randomization (MR) method, which offers a powerful approach to causal inference.MethodsSummary statistics on gut microbiota and acne were obtained from the MiBioGen and FinnGen consortium, respectively. The causal relationship was assessed using multiple methods in a two‐sample framework, including MR Egger, weighted median, inverse variance weighted (IVW), and weighted mode. Furthermore, the heterogeneity and horizontal pleiotropy analyses were conducted, along with the leave‐one‐out method.ResultsThe IVW estimation indicated that Allisonella (odds ratio [OR] = 1.42, 95% confidence interval [CI] = 1.18–1.70, p = 0.0002) and Bacteroides (OR = 2.25, 95% CI = 1.48–3.42, p = 0.0001) have adverse effects on acne. By contrast, Ruminococcus torques group (OR = 0.41, 95% CI = 0.25–0.65, p = 0.0002) showed a beneficial effect on acne. In addition, Candidatus soleaferrea (OR = 0.75, 95% CI = 0.60–0.95, p = 0.0149), Eubacterium coprostanoligenes group (OR = 0.67, 95% CI = 0.47–0.95, p = 0.0230), Fusicatenibacter (OR = 0.71, 95% CI = 0.52–0.97, p = 0.02897), and Lactobacillus (OR = 0.72, 95% CI = 0.58–0.90, p = 0.0046) showed suggestive associations with acne.ConclusionThe present investigation suggests a causal effect of gut microbiota on acne.

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Causal relationship between gut microbiota and cancers: a two-sample Mendelian randomisation study

Cited by 154 publications

References 77 publications

Genetic insights into the gut microbiota and risk of facial skin aging: A Mendelian randomization study

Genetic insights into the gut microbiota and risk of facial skin aging: A Mendelian randomization study

Genetically proxied intestinal microbiota and risk of erectile dysfunction

Gut microbiota and acne: A Mendelian randomization study

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