由基因决定的血清代谢物对下背痛或/和坐骨神经痛的因果关系:孟德尔随机综合研究。

IF 2.5 Q2 CLINICAL NEUROLOGY Frontiers in pain research (Lausanne, Switzerland) Pub Date : 2024-09-25 eCollection Date: 2024-01-01 DOI:10.3389/fpain.2024.1370704
Yi-Ming Ren, Wei-Yu Hou, Bao-You Fan, Yuan-Hui Duan, Yun-Bo Sun, Tao Yang, Han-Ji Zhang, Tian-Wei Sun, Meng-Qiang Tian
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引用次数: 0

摘要

背景:临床上迫切需要确认反映下背痛或/和坐骨神经痛发病机制的生物标志物和靶向药物。本研究旨在进行双向孟德尔随机分析(MR),探讨 486 种血清代谢物与下背痛或/和坐骨神经痛之间的因果关系:所有数据均来自两个欧洲血统的公共共享数据库,下背痛或/和坐骨神经痛的单核苷酸多态性(SNPs)作为工具变量。使用传统的逆方差加权法(IVW)、加权中值法、MR-Egger 法和其他方法估计因果关系。还通过 MR-Egger 截距检验、Cochran's Q 检验、MR-PRESSO 检验和遗漏敏感性分析验证了水平多向性和异质性。我们采用了反向磁共振分析来评估代谢物对下背痛或/和坐骨神经痛的直接影响。此外,我们还进行了共定位分析,以深入反映因果关系。结果表明:使用基因变异作为 PIVW 的探针后,28 个代谢物(18 个已知代谢物、1 个已识别代谢物和 9 个未知代谢物)与坐骨神经痛或/和下背痛的风险相关:我们的分析为血液代谢物与坐骨神经痛或/和下背痛之间的因果关系提供了有力的证据。然而,其潜在机制仍有待进一步研究。
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Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.

Background: There 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.

Methods: All 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.

Results: 28 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 < 0.05 were identifed. Among them, 8 serum metabolites decreased risk of sciatica or/and lower back pain significantly (P < 0.05), and 14 serum metabolites increased risk of sciatica or/and lower back pain significantly (P < 0.05). No reverse causal association was found between 28 metabolites and sciatica or/and lower back pain. Colocalization analysis results showed that the associations between sciatica or/and lower back pain and the 28 identified metabolites were not due to shared causal variant sites. Moreover, pathway enrichment analysis identifed 11 signifcant metabolic pathways, which are mainly involved in the pathological mechanism of sciatica or/and lower back pain (P < 0.05). There was no horizontal pleiotropy or heterogeneity in the other analyses.

Conclusion: Our analyses provided robust evidence of causal associations between blood metabolites on sciatica or/and lower back pain. However, the underlying mechanisms remain to be further investigated.

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