Evidence map›Paper›PMID 39385756›Full record

ArticleFrontiers in pain research (Lausanne, Switzerland)2024

Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.

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

Abstract read
In one paragraph

Article in Frontiers in pain research (Lausanne, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yi-Ming Ren *Department of Orthopaedics, International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China.
Wei-Yu Hou *Department of Joint and Sport Medicine, Tianjin Union Medical Center, Nankai University Affiliated People's Hospital, Tianjin, China.
Bao-You Fan *Department of Orthopaedics, International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord Injury, Tianjin Medical University General Hospital, Tianjin, China.
Yuan-Hui DuanDepartment of Joint and Sport Medicine, Tianjin Union Medical Center, Nankai University Affiliated People's Hospital, Tianjin, China.
Yun-Bo SunDepartment of Joint and Sport Medicine, Tianjin Union Medical Center, Nankai University Affiliated People's Hospital, Tianjin, China.
Tao YangDepartment of Joint and Sport Medicine, Tianjin Union Medical Center, Nankai University Affiliated People's Hospital, Tianjin, China.
Han-Ji ZhangDepartment of Joint and Sport Medicine, Tianjin Union Medical Center, Nankai University Affiliated People's Hospital, Tianjin, China.
Tian-Wei SunDepartment of Spine Surgery, Tianjin Union Medical Center, Nankai University Affiliated People's Hospital, Tianjin, China.
Meng-Qiang TianDepartment of Joint and Sport Medicine, Tianjin Union Medical Center, Nankai University Affiliated People's Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 P 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.

Indexed as

lower back painMendelian randomizationsciaticaserum metabolitessingle nucleotide polymorphisms

Identifiers

PMID39385756
PMCPMC11461461

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