Endocrine and metabolic factors and the risk of idiopathic pulmonary fibrosis: a Mendelian randomization study

Jiang, Yan; Chen, Rumeng; Xu, Shuling; Ding, Yining; Zhang, Mengling; Bao, Meihua; He, Binsheng; Li, Sen

doi:10.3389/fendo.2023.1321576

Cited by 6 publications

(2 citation statements)

References 49 publications

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“…The selection criteria included P < 5×10 -8 , which identified IVs with substantial relationships with the exposure variables. The clump=TRUE option was used to eliminate linkage disequilibrium (LD) and improved the accuracy of the IVs, as described in our previous publications ( 32 – 35 ). The parameters of r 2 = 0.001 and kb=10000 represented the LD threshold and distance for clumping, respectively.…”

Section: Methodsmentioning

confidence: 99%

Unveiling the causal link between metabolic factors and ovarian cancer risk using Mendelian randomization analysis

Han,

Xu,

Zhou

et al. 2024

Front. Endocrinol.

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BackgroundMetabolic abnormalities are closely tied to the development of ovarian cancer (OC), yet the relationship between anthropometric indicators as risk indicators for metabolic abnormalities and OC lacks consistency.MethodThe Mendelian randomization (MR) approach is a widely used methodology for determining causal relationships. Our study employed summary statistics from the genome-wide association studies (GWAS), and we used inverse variance weighting (IVW) together with MR-Egger and weighted median (WM) supplementary analyses to assess causal relationships between exposure and outcome. Furthermore, additional sensitivity studies, such as leave-one-out analyses and MR-PRESSO were used to assess the stability of the associations.ResultThe IVW findings demonstrated a causal associations between 10 metabolic factors and an increased risk of OC. Including “Basal metabolic rate” (OR= 1.24, P= 6.86×10-4); “Body fat percentage” (OR= 1.22, P= 8.20×10-3); “Hip circumference” (OR= 1.20, P= 5.92×10-4); “Trunk fat mass” (OR= 1.15, P= 1.03×10-2); “Trunk fat percentage” (OR= 1.25, P= 8.55×10-4); “Waist circumference” (OR= 1.23, P= 3.28×10-3); “Weight” (OR= 1.21, P= 9.82×10-4); “Whole body fat mass” (OR= 1.21, P= 4.90×10-4); “Whole body fat-free mass” (OR= 1.19, P= 4.11×10-3) and “Whole body water mass” (OR= 1.21, P= 1.85×10-3).ConclusionSeveral metabolic markers linked to altered fat accumulation and distribution are significantly associated with an increased risk of OC.

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Section: Methodsmentioning

confidence: 99%

Unveiling the causal link between metabolic factors and ovarian cancer risk using Mendelian randomization analysis

Han,

Xu,

Zhou

et al. 2024

Front. Endocrinol.

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“…Previous observational studies investigating the relationship between endocrine and metabolic factors and IPF have yielded inconsistent results. Therefore, there is a need for a more comprehensive study of the effects of endocrine metabolic factors on IPF using Mendelian randomization (MR) analysis [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Mendelian randomisation highlights type 1 diabetes as a causal determinant of idiopathic pulmonary fibrosis

Ma,

Zhang,

et al. 2024

Diabetol Metab Syndr

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Background It is unclear whether type 1 diabetes (T1D) causes idiopathic pulmonary fibrosis (IPF), despite observational research linking the two conditions. Therefore, our study aimed to examine the causal link between T1D and the likelihood of IPF by employing the Mendelian randomization (MR) technique of two-sample Mendelian randomization. Methods Using data from two genome-wide association studies (GWAS) with European ancestry, we performed a two-sample MR analysis. These studies involved 18,856 individuals (6,683 cases and 12,173 controls) for T1D and 198,014 individuals (10,028 cases and 196,986 controls) for IPF. We utilized inverse-variance weighted (IVW) analysis as our main approach to determine the association between the risk of IPF and T1D. To evaluate multidirectionality, the MR-Egger regression test was utilized, whereas heterogeneity was assessed using Cochran’s Q test. Additionally, a leave-one-out analysis was performed to assess the reliability of the results. Results 38 SNPs linked to T1D were employed as instrumental variables (IVs). Multiple MR methods yielded consistent results, and the MR analysis reveals a significant and positive causal impact of T1D on IPF (MR-IVW, odds ratio [OR] = 1.128, 95% confidence interval [CI] 1.034–1.230; P = 0.006). The limitations of the study include the lack of data from non-European groups and the inability to rule out the possibility of small links. Larger MR experiments are necessary to investigate minute impacts. Conclusions The results of this study provide evidence that T1D contributes to the onset and advancement of IPF. This finding may provide important insights into the cause of IPF and possible treatments in the future.

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Assessing causal associations of bile acids with obesity indicators: A Mendelian randomization study

Huang,

Xu,

Chen

et al. 2024

Medicine

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Maintaining a balanced bile acids (BAs) metabolism is essential for lipid and cholesterol metabolism, as well as fat intake and absorption. The development of obesity may be intricately linked to BAs and their conjugated compounds. Our study aims to assess how BAs influence the obesity indicators by Mendelian randomization (MR) analysis. Instrumental variables of 5 BAs were obtained from public genome-wide association study databases, and 8 genome-wide association studies related to obesity indicators were used as outcomes. Causal inference analysis utilized inverse-variance weighted (IVW), weighted median, and MR-Egger methods. Sensitivity analysis involved MR-PRESSO and leave-one-out techniques to detect pleiotropy and outliers. Horizontal pleiotropy and heterogeneity were assessed using the MR-Egger intercept and Cochran Q statistic, respectively. The IVW analysis revealed an odds ratio of 0.94 (95% confidence interval: 0.88, 1.00; P = .05) for the association between glycolithocholate (GLCA) and obesity, indicating a marginal negative causal association. Consistent direction of the estimates obtained from the weighted median and MR-Egger methods was observed in the analysis of the association between GLCA and obesity. Furthermore, the IVW analysis demonstrated a suggestive association between GLCA and trunk fat percentage, with a beta value of −0.014 (95% confidence interval: −0.027, −0.0004; P = .04). Our findings suggest a potential negative causal relationship between GLCA and both obesity and trunk fat percentage, although no association survived corrections for multiple comparisons. These results indicate a trend towards a possible association between BAs and obesity, emphasizing the need for future studies.

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Endocrine and metabolic factors and the risk of idiopathic pulmonary fibrosis: a Mendelian randomization study

Cited by 6 publications

References 49 publications

Unveiling the causal link between metabolic factors and ovarian cancer risk using Mendelian randomization analysis

Unveiling the causal link between metabolic factors and ovarian cancer risk using Mendelian randomization analysis

Mendelian randomisation highlights type 1 diabetes as a causal determinant of idiopathic pulmonary fibrosis

Assessing causal associations of bile acids with obesity indicators: A Mendelian randomization study

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