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Causal associations between sarcopenia-related traits and intervertebral disc degeneration: a two-sample mendelian randomization analysis

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Abstract

Background

Sarcopenia (SP) and intervertebral disc degeneration (IVDD) have a higher incidence in the elderly population. Previous studies have indicated a potential association between SP and IVDD. The objective of this study is to elucidate the potential causal relationship between sarcopenia-related traits and IVDD through Two-sample Mendelian randomization (MR) analysis.

Methods

We utilized a genome-wide association study conducted on the European population to collect aggregated data on sarcopenia and IVDD. Inverse variance weighting was primarily employed, supplemented by MR Egger, weighted median, simple model, and weighted model methods. Additionally, sensitivity analysis was performed to assess the robustness of the findings.

Results

Appendicular lean mass is positively associated with “Other intervertebral disc disorders” (OIDD) and “Prolapsed or slipped disc” (POSD) (OIDD: p = 0.002, OR = 1.120; POSD: p < 0.001, OR = 1.003), while grip strength (GS) is positively associated with POSD (left: p = 0.004, OR = 1.008; right: p < 0.001, OR = 1.010). It is worth mentioning that walking pace has significant causal relationship with “Low back pain” (LBP), “Lower back pain or/and sciatica” (LBPOAS), “Sciatica with lumbago” (SWL) and OIDD (LBP: p < 0.001, OR = 0.204; LBPOAS: p < 0.001, OR = 0.278; SWL: p = 0.003, OR = 0.249; OIDD: p < 0.001, OR = 0.256).

Conclusion

The present study revealed the causal relationship between SP-related traits and IVDD and recommended to prevent and treat sarcopenia as a means of preventing IVDD in clinic practice.

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Abbreviations

MR:

Mendelian randomization analysis

IVs:

Instrumental variables

SP:

Sarcopenia

IVDD:

Intervertebral disc degeneration

EWGSOP:

European working group on sarcopenia in older people

AWGS:

Asian working group for Sarcopenia

SNPs:

Single nucleotide polymorphisms

GWAS:

Genome-wide association study

ALM:

Appendicular lean mass

GS:

Grip strength

WP:

Usual walking pace

OIDD:

Other intervertebral disc disorders

SWL:

Sciatica with lumbago

LBPOAS:

Lower back pain or/and sciatica

LBP:

Low back pain

POSD:

Prolapsed or slipped disc

References

  1. Cruz-Jentoft AJ, Sayer AA (2019) Sarcopenia. Lancet (London, England) 393(10191):2636–2646

    Article  PubMed  Google Scholar 

  2. Patel HP et al (2013) Prevalence of sarcopenia in community-dwelling older people in the UK using the European working group on sarcopenia in older people (EWGSOP) definition: findings from the Hertfordshire cohort Study (HCS). Age Ageing 42(3):378–384

    Article  PubMed  PubMed Central  Google Scholar 

  3. Beard JR et al (2016) The World report on ageing and health: a policy framework for healthy ageing. Lancet (London, England) 387(10033):2145–2154

    Article  PubMed  Google Scholar 

  4. Janssen I et al (2004) The healthcare costs of sarcopenia in the United States. J Am Geriatr Soc 52(1):80–85

    Article  PubMed  Google Scholar 

  5. Cruz-Jentoft AJ et al (2019) Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 48(1):16–31

    Article  PubMed  Google Scholar 

  6. Kaplan SJ et al (2020) Thresholds and mortality associations of paraspinous muscle sarcopenia in older trauma patients. JAMA Surg 155(7):662–664

    Article  PubMed  PubMed Central  Google Scholar 

  7. Damluji AA et al (2023) Sarcopenia and cardiovascular diseases. Circulation 147(20):1534–1553

    Article  PubMed  PubMed Central  Google Scholar 

  8. Liu C et al (2022) Osteoporosis and sarcopenia-related traits: a bi-directional mendelian randomization study. Front Endocrinol 13:975647

    Article  Google Scholar 

  9. Jones SE et al (2015) Sarcopenia in COPD: prevalence, clinical correlates and response to pulmonary rehabilitation. Thorax 70(3):213–218

    Article  PubMed  Google Scholar 

  10. Chen LK et al (2014) Sarcopenia in Asia: consensus report of the Asian working group for sarcopenia. J Am Med Dir Assoc 15(2):95–101

    Article  PubMed  Google Scholar 

  11. Cruz-Jentoft AJ et al (2010) Sarcopenia: European consensus on definition and diagnosis: report of the european working group on sarcopenia in older people. Age Ageing 39(4):412–423

    Article  PubMed  PubMed Central  Google Scholar 

  12. Yang S et al (2020) Intervertebral disc ageing and degeneration: the antiapoptotic effect of oestrogen. Ageing Res Rev 57:100978

    Article  CAS  PubMed  Google Scholar 

  13. Kherad M et al (2017) Risk factors for low back pain and sciatica in elderly men-the MrOS Sweden study. Age Ageing 46(1):64–71

    PubMed  Google Scholar 

  14. James SL, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdollahpour I (2018) Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet (London, England) 392(10159):1789–1858

    Article  Google Scholar 

  15. Moradi K et al (2024) Erosive hand osteoarthritis and sarcopenia: data from Osteoarthritis Initiative cohort. Ann Rheum Dis. https://doi.org/10.1136/ard-2023-224997

    Article  PubMed  Google Scholar 

  16. Misra D et al (2019) Risk of knee osteoarthritis with obesity, sarcopenic obesity, and sarcopenia. Arthritis Rheumatol (Hoboken, N.J.) 71(2):232–237

    Article  Google Scholar 

  17. Kim WJ et al (2021) Sarcopenia and back muscle degeneration as risk factors for degenerative adult spinal deformity with sagittal imbalance and degenerative spinal disease: a comparative study. World Neurosurg 148:e547–e555

    Article  PubMed  Google Scholar 

  18. Tanaka Y et al (2023) Muscle strength rather than appendicular skeletal muscle mass might affect spinal sagittal alignment, low back pain, and health-related quality of life. Sci Rep 13(1):9894

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Skrivankova VW et al (2021) Strengthening the reporting of observational studies in epidemiology using mendelian randomization: the STROBE-MR statement. JAMA 326(16):1614–1621

    Article  PubMed  Google Scholar 

  20. Davies NM, Holmes MV, Davey Smith G (2018) Reading mendelian randomisation studies: a guide, glossary, and checklist for clinicians. BMJ (Clinical Research ed.) 362:k601

    Article  PubMed  Google Scholar 

  21. Smith GD, Ebrahim S (2003) Mendelian randomization: can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol 32(1):22

    Google Scholar 

  22. Skrivankova VW et al (2021) Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaboration. BMJ (Clinical Research ed) 375:n2233

    PubMed  Google Scholar 

  23. Pei Y-F et al (2020) The genetic architecture of appendicular lean mass characterized by association analysis in the UK biobank study. Commun Biol 3(1):608

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Verbanck M et al (2018) Detection of widespread horizontal pleiotropy in causal relationships inferred from mendelian randomization between complex traits and diseases. Nat Genet 50(5):693–698

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Ong J-S, MacGregor S (2019) Implementing MR-PRESSO and GCTA-GSMR for pleiotropy assessment in mendelian randomization studies from a practitioner’s perspective. Genet Epidemiol 43(6):609–616

    Article  PubMed  PubMed Central  Google Scholar 

  26. Long Y et al (2023) Causal relationship between gut microbiota and cancers: a two-sample mendelian randomisation study. BMC Med 21(1):66

    Article  PubMed  PubMed Central  Google Scholar 

  27. Sakai Y et al (2017) Sarcopenia in elderly patients with chronic low back pain. Osteoporos Sarcopenia 3(4):195–200

    Article  PubMed  PubMed Central  Google Scholar 

  28. Sions JM et al (2017) Trunk muscle characteristics of the multifidi, erector spinae, psoas, and quadratus lumborum in older adults with and without chronic low back pain. J Orthop Sports Phys Ther 47(3):173–179

    Article  PubMed  PubMed Central  Google Scholar 

  29. Suo M et al (2023) The association between morphological characteristics of paraspinal muscle and spinal disorders. Ann Med 55(2):2258922

    Article  PubMed  PubMed Central  Google Scholar 

  30. Park MW, Park SJ, Chung SG (2023) relationships between skeletal muscle mass, lumbar lordosis, and chronic low back pain in the elderly. Neurospine 20(3):959–968

    Article  PubMed  PubMed Central  Google Scholar 

  31. Quint U et al (1998) Importance of the intersegmental trunk muscles for the stability of the lumbar spine. biomech Study Vitro Spine 23(18):1937–1945

    CAS  Google Scholar 

  32. Kang S et al (2021) The effects of paraspinal muscle volume on physiological load on the lumbar vertebral column: a finite-element study. Spine 46(19):E1015–E1021

    Article  PubMed  Google Scholar 

  33. Hori Y et al (2021) Gender-specific analysis for the association between trunk muscle mass and spinal pathologies. Sci Rep 11(1):7816

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Choi TY et al (2022) Psoas muscle measurement as a predictor of recurrent lumbar disc herniation: a retrospective blind study. Medicine 101(26):e29778

    Article  PubMed  PubMed Central  Google Scholar 

  35. Studenski SA et al (2014) The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates. J Gerontol Ser A Biol Sci Med Sci 69(5):547–558

    Article  Google Scholar 

  36. Long G et al (2021) Hand grip strength as a predictor of recovery from low back pain in the pregnant women-a prospective study. J Orthop Sci Off J Jpn Orthop Assoc 26(4):566–571

    Google Scholar 

  37. Faber A et al (2012) Does muscle strength predict future musculoskeletal disorders and sickness absence? Occup Med (Oxford, England) 62(1):41–46

    Article  CAS  Google Scholar 

  38. Felício DC et al (2017) Handgrip strength is associated with, but poorly predicts, disability in older women with acute low back pain: a 12-month follow-up study. Maturitas 104:19–23

    Article  PubMed  Google Scholar 

  39. Hansen L et al (2006) Anatomy and biomechanics of the back muscles in the lumbar spine with reference to biomechanical modeling. Spine 31(17):1888–1899

    Article  PubMed  Google Scholar 

  40. Distefano G, Goodpaster BH (2018) Effects of exercise and aging on skeletal muscle. Cold Spring Harbor Perspect Med 8(3):a029785

    Article  Google Scholar 

  41. Beaudart C et al (2019) Assessment of muscle function and physical performance in daily clinical practice : a position paper endorsed by the European society for clinical and economic aspects of osteoporosis, osteoarthritis and musculoskeletal diseases (ESCEO). Calcif Tissue Int. https://doi.org/10.1007/s00223-019-00545-w

    Article  PubMed  Google Scholar 

  42. Cesari M et al (2009) Added value of physical performance measures in predicting adverse health-related events: results from the health, aging and body composition study. J Am Geriatr Soc 57(2):251–259

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

This research was supported by grant from the The Medical and Health Science and Technology Program of Hangzhou, China (No: A20220665).

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Authors

Contributions

WQ, ZM, XM, YW, LZ, YS, GG, WZ, DW and HP contributed to this study. WQ, HP and ZM contributed to the conception and design of this study. WQ, YS and XM collected data. WQ, DW and LZ performed the statistical analysis. WQ, GG, and DW wrote the manuscript. HP and YW supervised the entire study. All authors contributed to the article and approved the submitted version. WQ, ZM and XM contributed equally to this work and share first authorship.

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Correspondence to Hao Pan or Dong Wang.

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Qi, W., Mei, Z., Mao, X. et al. Causal associations between sarcopenia-related traits and intervertebral disc degeneration: a two-sample mendelian randomization analysis. Eur Spine J (2024). https://doi.org/10.1007/s00586-024-08291-w

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  • DOI: https://doi.org/10.1007/s00586-024-08291-w

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