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Updated: Jul 16, 2026
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
Exploración de asociaciones causales entre metabolitos plasmáticos y ciática: un análisis de aleatorización
Shaoyong Yu1, Qiuyu Wei2, Yi Luo2
1Traumatic Joint First Ward, Liuzhou Traditional Chinese Medicine Hospital, Liuzhou, Guangxi, People's Republic of China.
Background:
Sciatica is a prevalent and highly disabling radicular pain syndrome, often involving mixed nociceptive and neuropathic components, which severely impacts patients' quality of life and work capacity, underscoring the need to identify biomarkers for early intervention. Although recent metabolomics studies have revealed significant associations between altered plasma metabolite levels and sciatica, the causal relationship with plasma metabolites remains unverified. This study aims to analyze the causal association between plasma metabolites and sciatica from a genetic perspective and provide relevant evidence.
Methods:
Public datasets comprising 1,400 plasma metabolites (as exposures) and sciatica (as outcome) were collected. Mendelian randomization analyses were performed using Rstudio, incorporating inverse-variance weighted, MR-Egger, weighted median, simple mode, and weighted mode methods. Robustness and reliability were ensured through heterogeneity testing, horizontal pleiotropy assessment, and Steiger directionality tests.
Results:
We identified four plasma metabolites with significant causal relationships to sciatica after false discovery rate correction (PFDR < 0.05). Two distinct forms of the bilirubin degradation product C1 7H2 0N2O5 were identified as risk factors (Form 1: OR = 1.040, 95% CI = 1.015-1.066, P = 0.001, PFDR=0.003; Form 2: OR = 1.039, 95% CI = 1.014-1.065, P = 0.002, PFDR = 0.004). In contrast, N-Acetyl-β-alanine (OR = 0.960, 95% CI = 0.931-0.991, P = 0.011, PFDR = 0.014) and Glycosyl-N-stearoyl-sphingosine (d18:1/18:0) (OR = 0.953, 95% CI = 0.920-0.989, P = 0.010, PFDR = 0.012) were protective factors. The analysis was based on 106 independent instrumental variables (single nucleotide polymorphisms).
Conclusion:
This study provides genetic evidence supporting a causal role of specific plasma metabolites in sciatica risk, highlighting the involvement of bilirubin and amino acid/sphingolipid metabolism in its pathogenesis. These findings offer novel insights into the biology of sciatica and may inform future research into therapeutic strategies.
