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- Title
Iron Status and NAFLD among European Populations: A Bidirectional Two-Sample Mendelian Randomization Study.
- Authors
Liu, Cenqin; Chen, Yishu; Zhang, Zhixin; Xie, Jiarong; Yu, Chaohui; Xu, Lei; Li, Youming
- Abstract
Background and aim: Previous observational studies have suggested a paradoxical relationship between iron status and the risk of non-alcoholic fatty liver disease (NAFLD). Observed associations in these epidemiological studies fail to show sequential temporality and suffer from problems of confounding. Therefore, we performed a bidirectional two-sample Mendelian randomization (MR) to evaluate the relationship between serum iron status and NAFLD. Methods: The inverse weighted method (IVW) meta-analysis with the fixed-effect model was the main method to estimate the relationship between iron status, including serum ferritin, iron, transferrin saturation (TSAT) and total iron-binding capacity (TIBC), and NAFLD. Weighted median, penalized weighted median, and MR Robust Adjusted Profile Score (MR RAPS) methods were used as additional analyses. Sensitivity analyses were performed with Cochran's Q test, MR–Egger regression, Steiger filtering, and the MR PRESSO test. Results: Iron status, including serum ferritin, iron, and TSAT, was associated with an increased risk of NAFLD (odds ratio (OR) (95% confidence interval (CI)): 1.25 (1.06, 1.48); 1.24 (1.05, 1.46), 1.16 (1.02, 1.31), respectively). In contrast, minimal effects of NAFLD on serum ferritin, iron, TSAT, and TIBC were observed (OR (95% CI): 1.01 (1.00, 1.02), 1.01 (1.00, 1.02), 1.03 (1.01, 1.05), 1.03 (1.01, 1.05), respectively). Conclusions: Our findings corroborated the causal associations between serum ferritin, iron, TSAT, and NAFLD, which might suggest the potential benefits of iron-related therapy. In addition, NAFLD might, in turn, slightly affect iron homeostasis indicated as serum ferritin, iron, TSAT, and TIBC, but this needs to be further confirmed.
- Subjects
CONFIDENCE intervals; IRON; IRON in the body; NON-alcoholic fatty liver disease; RISK assessment; DESCRIPTIVE statistics; ODDS ratio; STATISTICAL sampling; DATA analysis software; DISEASE risk factors
- Publication
Nutrients, 2022, Vol 14, Issue 24, p5237
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu14245237