1. Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study
- Author
-
Yi-Ming Ren, Wei-Yu Hou, Bao-You Fan, Yuan-Hui Duan, Yun-Bo Sun, Tao Yang, Han-Ji Zhang, Tian-Wei Sun, and Meng-Qiang Tian
- Subjects
lower back pain ,sciatica ,Mendelian randomization ,serum metabolites ,single nucleotide polymorphisms ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
BackgroundThere is an urgent need to confirm biomarkers reflecting the pathogenesis and targeted drugs of lower back pain or/and sciatica in clinical practice. This study aimed to conduct a two sample bidirectional Mendelian randomization (MR) analysis to explore the causal link between 486 serum metabolites and lower back pain or/and sciatica.MethodsAll data come from two public shared databases of European ancestry and single nucleotide polymorphisms (SNPs) for lower back pain or/and sciatica acted as instrumental variables. The traditional inverse variance weighting (IVW) method, weighted-median method, MR-Egger methodand other methods were used to estimate causality. The horizontal pleiotropy, heterogeneities were also verified through the MR-Egger intercept test, Cochran's Q test, MR-PRESSO test and the leave-one-out sensitivity analysis. Reverse MR analysis was employed to evaluate the direct impact of metabolites on lower back pain or/and sciatica. Additionally, we conducted the colocalization analysis to reflect the causality deeply. Furthermore, metabolic pathway analysis was performed.Results28 metabolites (18 known metabolites, 1 identified metabolites and 9 unknown metabolites) relevant to the risk of sciatica or/and lower back pain after using genetic variants as probes at PIVW
- Published
- 2024
- Full Text
- View/download PDF