Evidence map›Paper›PMID 34564762›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2022

Integrative analysis of metabolomic, genomic, and imaging-based phenotypes identify very-low-density lipoprotein as a potential risk factor for lumbar Modic changes.

Yiming Li, Jaro Karppinen, Kathryn S E Cheah, Danny Chan, Pak C Sham, Dino Samartzis

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In one paragraph

Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Chronic low back pain causal risk factors identified by Mendelian randomization: a cross-sectional cohort analysis.The spine journal : official journal of the North American Spine Society · 2025
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  17. Role of C-reactive protein in the bone marrow of Modic type 1 changes.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
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  19. ISSLS PRIZE in Clinical Science 2022: Epidemiology, risk factors and clinical impact of juvenile Modic changes in paediatric patients with low back pain.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yiming LiDepartment of Psychiatry, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Jaro KarppinenMedical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.
Kathryn S E CheahSchool of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Danny ChanSchool of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Pak C ShamDepartment of Psychiatry, The University of Hong Kong, Pokfulam, Hong Kong SAR, China. pcsham@hku.hk.
Dino SamartzisDepartment of Orthopaedics and Traumatology, The University of Hong Kong, Pokfulam, Hong Kong SAR, China. Dino_Samartzis@rush.edu.ORCID 0000-0002-7473-1311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeModic changes (MC) on magnetic resonance imaging (MRI) have been associated with the development and severity of low back pain (LBP). The etiology of MC remains elusive, but it has been suggested that altered metabolism may be a risk factor. As such, this study aimed to identify metabolomic biomarkers for MC phenotypes of the lumbar spine via a combined metabolomic-genomic approach.

methodsA population cohort of 3,584 southern Chinese underwent lumbar spine MRI. Blood samples were genotyped with single-nucleotide polymorphisms (SNP) arrays (n = 2,482) and serum metabolomics profiling using magnetic resonance spectroscopy (n = 757), covering 130 metabolites representing three molecular windows, were assessed. Genome-wide association studies (GWAS) were performed on each metabolite, to construct polygenic scores for predicting metabolite levels in subjects who had GWAS but not metabolomic data. Associations between predicted metabolite levels and MC phenotypes were assessed using linear/logistic regression and least absolute shrinkage and selection operator (LASSO). Two-sample Mendelian randomization analysis tested for causal relationships between metabolic biomarkers and MC.

results20.4% had MC (10.6% type 1, 67.2% type 2, 22.2% mixed types). Significant MC metabolomic biomarkers were mean diameter of very-low-density lipoprotein (VLDL)/low-density lipoprotein (LDL) particles and cholesterol esters/phospholipids in large LDL. Mendelian randomization indicated that decreased VLDL mean diameter may lead to MC.

conclusionsThis large-scale study is the first to address metabolomics in subject with/without lumbar MC. Causality studies implicate VLDL related to MC, noting a metabolic etiology. Our study substantiates the field of "spino-metabolomics" and illustrates the power of integrating metabolomics-genomics-imaging phenotypes to discover biomarkers for spinal disorders, paving the way for more personalized spine care for patients.

Indexed as

Genome-Wide Association StudyLipoproteins, VLDLGenomicsHumansLumbar VertebraeMagnetic Resonance ImagingMetabolomicsPhenotypeRisk FactorsLipoproteins, VLDLDisk degenerationGeneticsMetabolomicsModicMRIPhenotypingSpine

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.