Causal Effects of Plasma Metabolites on Intervertebral Disc Degeneration and Low Back Pain: A Mendelian Randomization Study

Background: Metabolic disturbances have been implicated in intervertebral disc degeneration (IVDD) and low back pain, but the contribution of circulating metabolites remains uncertain. Objectives: We examined associations of genetically proxied plasma metabolites and metabolite ratios with IVDD outcomes defined at different anatomical locations and with a related pain phenotype. Methods: Summary statistics for metabolite exposures were obtained from the Canadian Longitudinal Study on Ageing (CLSA) plasma metabolome genome-wide association study (GWAS). The outcomes were Intervertebral Disc Degeneration of Cervical Spine (IVDD_Cervical), Intervertebral Disc Degeneration of Thoracic, Thoracolumbar, and Lumbosacral Spine (IVDD_TTL), and Low Back Pain (Pain_Lowback). IVDD_Cervical and IVDD_TTL represented IVDD outcomes defined at different anatomical locations of the spine, whereas Pain_Lowback was analysed separately as an IVDD-related pain phenotype. One genome-wide significant sentinel single-nucleotide variant (SNV) was used for each exposure, and Mendelian randomization (MR) estimates were calculated with the Wald ratio. The within-outcome Bonferroni threshold was 6.25 × 10−4. Results: Eighty metabolites and metabolite ratios were evaluated. Two associations were significant, both for IVDD_TTL. Higher genetically proxied dimethylarginine (SDMA + ADMA), mapped to DDAH1, was associated with lower IVDD_TTL risk (odds ratio [OR] = 0.80; 95% confidence interval [CI]: 0.72–0.90; p = 2.5 × 10−4), whereas higher alpha-hydroxyisovalerate, mapped to LDHA, was associated with higher risk (OR = 1.08; 95% CI: 1.04–1.13; p = 4.6 × 10−4). No significant association was identified for IVDD_Cervical or Pain_Lowback; 23 associations were classified as suggestive significant. DrugBank annotation identified compounds interacting with DDAH1 and LDHA. Conclusions: The results highlight DDAH1-linked methylarginine metabolism and LDHA-linked glycolytic and lactate-related biology as candidate pathways for IVDD_TTL. Findings for IVDD_Cervical, Pain_Lowback, and cross-outcome overlap remain exploratory.

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Journal
Metabolites
Published
2026-09-13
DOI
https://doi.org/10.3390/metabo16090673
Primary Topic
Spine and Intervertebral Disc Pathology
Type
article
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article

Causal Effects of Plasma Metabolites on Intervertebral Disc Degeneration and Low Back Pain: A Mendelian Randomization Study

Xinhui Wang, Xinwei Xu, Xu Weixing, Chuanzhi Tang et al.
Metabolites
Spine and Intervertebral Disc Pathology
article

Causal Effects of Plasma Metabolites on Intervertebral Disc Degeneration and Low Back Pain: A Mendelian Randomization Study

Xinhui Wang, Xinwei Xu, Xu Weixing, Chuanzhi Tang, Shouhe Zhu, Junxia Wen, Weiguo Ding
article en

Abstract

Background: Metabolic disturbances have been implicated in intervertebral disc degeneration (IVDD) and low back pain, but the contribution of circulating metabolites remains uncertain. Objectives: We examined associations of genetically proxied plasma metabolites and metabolite ratios with IVDD outcomes defined at different anatomical locations and with a related pain phenotype. Methods: Summary statistics for metabolite exposures were obtained from the Canadian Longitudinal Study on Ageing (CLSA) plasma metabolome genome-wide association study (GWAS). The outcomes were Intervertebral Disc Degeneration of Cervical Spine (IVDD_Cervical), Intervertebral Disc Degeneration of Thoracic, Thoracolumbar, and Lumbosacral Spine (IVDD_TTL), and Low Back Pain (Pain_Lowback). IVDD_Cervical and IVDD_TTL represented IVDD outcomes defined at different anatomical locations of the spine, whereas Pain_Lowback was analysed separately as an IVDD-related pain phenotype. One genome-wide significant sentinel single-nucleotide variant (SNV) was used for each exposure, and Mendelian randomization (MR) estimates were calculated with the Wald ratio. The within-outcome Bonferroni threshold was 6.25 × 10−4. Results: Eighty metabolites and metabolite ratios were evaluated. Two associations were significant, both for IVDD_TTL. Higher genetically proxied dimethylarginine (SDMA + ADMA), mapped to DDAH1, was associated with lower IVDD_TTL risk (odds ratio [OR] = 0.80; 95% confidence interval [CI]: 0.72–0.90; p = 2.5 × 10−4), whereas higher alpha-hydroxyisovalerate, mapped to LDHA, was associated with higher risk (OR = 1.08; 95% CI: 1.04–1.13; p = 4.6 × 10−4). No significant association was identified for IVDD_Cervical or Pain_Lowback; 23 associations were classified as suggestive significant. DrugBank annotation identified compounds interacting with DDAH1 and LDHA. Conclusions: The results highlight DDAH1-linked methylarginine metabolism and LDHA-linked glycolytic and lactate-related biology as candidate pathways for IVDD_TTL. Findings for IVDD_Cervical, Pain_Lowback, and cross-outcome overlap remain exploratory.

MetabolitesVol. 16(9)
Zhejiang Chinese Medical University (CN), Tongde Hospital of Zhejiang Province (CN), Zhejiang University (CN)
Good health and well-being
Openalex Percentile: Top 11%
Spine and Intervertebral Disc Pathology
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