Aller au contenu principal
Accès ouvert déclaré 2026 article

Exploring Causal Associations Between Plasma Metabolites and Sciatica: A Two-Sample Mendelian Randomization Analysis

0Citations signalées, ce qui n’est pas une note de qualité
1Institutions déclarées
1Pays d’affiliation déclarés

Rattachement africain : us. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Shaoyong Yu,1 Qiuyu Wei,2 Yi Luo,2 Gang Wu2 1Traumatic Joint First Ward, Liuzhou Traditional Chinese Medicine Hospital, Liuzhou, Guangxi, People’s Republic of China; 2Department of Neurosurgery, Liuzhou Traditional Chinese Medicine Hospital, Liuzhou, Guangxi, People’s Republic of ChinaCorrespondence: Qiuyu Wei, Department of Neurosurgery, Liuzhou Traditional Chinese Medicine Hospital, Liuzhou, 545000, People’s Republic of China, Email 1983432933@qq.com Gang Wu, Department of Neurosurgery, Liuzhou Traditional Chinese Medicine Hospital, Liuzhou, 545000, People’s Republic of China, Email 15877248687@139.comBackground: 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 C17H20N2O5 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.Keywords: plasma metabolites, sciatica, causal association, mendelian randomization, genetics, single nucleotide polymorphism, genome-wide association study

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

Le contrôle bibliographique ouvert

Aucun DOI disponible pour le contrôle Crossref.

Les institutions déclarées

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Spine and Intervertebral Disc PathologyNeonatal Health and BiochemistryCancer Treatment and Pharmacology

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.