Skip to main content

Advertisement

Log in

Association between MMP16 rs60298754 and clinical phenotypes of Parkinson’s disease in southern Chinese

  • Original Article
  • Published:
Neurological Sciences Aims and scope Submit manuscript

Abstract

Study objectives

The aim was to investigate the association between MMP16 rs60298754 and symptoms of Parkinson’s disease (PD) in southern Chinese.

Methods

Seven hundred forty-five PD patients were recruited in this study. All patients were evaluated by Brief Pain Inventory (BPI), Hamilton anxiety rating scale and Hamilton depression rating scale, 39-item Parkinson’s disease Questionnaire (PDQ-39), and MDS—Unified PD Rating Scale (MDS-UPDRS). Symptoms were also recorded.

Results

The difference of BPI and Parkinson’s disease sleep scale (PDSS) between two groups was showed (BPI: MMP16 wildtypes: 14.73 ± 14.45; MMP16 carriers: 10.95 ± 10.67, p 0.002; PDSS: MMP16 wildtypes: 117.80 ± 21.45; MMP16 carriers: 108.40 ± 23.95, p < 0.001). The association of apathy, nocturia, and sensitive to light were found (apathy: p 0.001, OR: 0.49, 0.32—0.76; nocturia: p < 0.001, OR: 3.57, 1.90—7.26; sensitive to light: p < 0.001, OR: 3.99, 2.01—7.74).

Conclusions

MMP16 rs60298754 was associated with the presence of apathy, pain, nocturia, and sensitive to light.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Kalia LV, Lang AE (2015) Parkinson’s disease. Lancet 386(9996):896–912

  2. Bene R et al (2009) Parkinson’s disease. ActaClin Croat 48(3):377–380

  3. Jiang T et al (2018) The challenge of the pathogenesis of parkinson’s disease: is autoimmunity the culprit? Front Immunol 9:2047

    Article  Google Scholar 

  4. Franco-Iborra S, Vila M, Perier C (2016) The parkinson disease mitochondrial hypothesis: where are we at? Neuroscientist 22(3):266–277

    Article  CAS  Google Scholar 

  5. Chang D et al (2017) A meta-analysis of genome-wide association studies identifies 17 new Parkinson’s disease risk loci. Nat Genet 49(10):1511–1516

    Article  CAS  Google Scholar 

  6. Houlden H, Singleton AB (2012) The genetics and neuropathology of Parkinson’s disease. ActaNeuropathol 124(3):325–338

    CAS  Google Scholar 

  7. Koros C, Simitsi A, Stefanis L (2017) Genetics of Parkinson’s disease: genotype-phenotype correlations. Int Rev Neurobiol 132:197–231

    Article  CAS  Google Scholar 

  8. Fu R et al (2017) Fatigue correlates with LRRK2 G2385R variant in Chinese Parkinson’s disease patients. Parkinsonism RelatDisord 44:101–105

    Article  Google Scholar 

  9. Gaig C et al (2014) Nonmotor symptoms in LRRK2 G2019S associated Parkinson’s disease. PLoS ONE 9(10):e108982

    Article  Google Scholar 

  10. Nalls MA et al (2014) Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson’s disease. Nat Genet 46(9):989–993

    Article  CAS  Google Scholar 

  11. Kapoor C et al (2016) Seesaw of matrix metalloproteinases (MMPs). J Cancer Res Ther 12(1):28–35

    Article  CAS  Google Scholar 

  12. Wang X, Khalil RA (2018) Matrix metalloproteinases, vascular remodeling, and vascular disease. AdvPharmacol 81:241–330

    CAS  Google Scholar 

  13. MacCallum CA, Russo EB (2018) Practical considerations in medical cannabis administration and dosing. Eur J Intern Med 49:12–19

    Article  CAS  Google Scholar 

  14. Russo R et al (2018) Gut-brain axis: role of lipids in the regulation of inflammation, pain and CNS diseases. Curr Med Chem 25(32):3930–3952

    Article  CAS  Google Scholar 

  15. Li G et al (2018) Association of GALC, ZNF184, IL1R2 and ELOVL7 With Parkinson’s Disease in Southern Chinese. Front Aging Neurosci 10:402

  16. Shin JI et al (2011) The gene expression profile of matrix metalloproteinases and their inhibitors in children with Henoch-Schönlein purpura. Br J Dermatol 164(6):1348–1355

    Article  CAS  Google Scholar 

  17. Anttila V et al (2013) Genome-wide meta-analysis identifies new susceptibility loci for migraine. Nat Genet 45(8):912–917

    Article  CAS  Google Scholar 

  18. Sintas C et al (2015) Replication study of previous migraine genome-wide association study findings in a Spanish sample of migraine with aura. Cephalalgia 35(9):776–782

    Article  Google Scholar 

  19. Finley MJ et al (2013) Intracellular signaling mechanisms associated with CD47 modified surfaces. Biomaterials 34(34):8640–8649

    Article  CAS  Google Scholar 

  20. Cao L et al (2016) MMP16 is a marker of poor prognosis in gastric cancer promoting proliferation and invasion. Oncotarget 7(32):51865–51874

    Article  Google Scholar 

  21. Tatti O et al (2015) MMP16 mediates a proteolytic switch to promote cell-cell adhesion, collagen alignment, and lymphatic invasion in melanoma. Can Res 75(10):2083–2094

    Article  CAS  Google Scholar 

  22. Zhang W, Chen CJ, Guo GL (2018) MiR-155 promotes the proliferation and migration of breast cancer cells via targeting SOCS1 and MMP16. Eur Rev Med PharmacolSci 22(21):7323–7332

    CAS  Google Scholar 

  23. Roth L et al (2017) A new role of the membrane-type matrix metalloproteinase 16 (MMP16/MT3-MMP) in neural crest cell migration. Int J DevBiol 61(3–4–5):245–256

    CAS  Google Scholar 

  24. Wang M et al (2014) N-cadherin is a novel ERα anchor that protects against 6-OHDA damage to dopaminergic cells. Cell MolNeurobiol 34(1):123–131

    Article  Google Scholar 

  25. Huang B et al (2018) Polydatin prevents lipopolysaccharide (LPS)-induced Parkinson’s disease via regulation of the AKT/GSK3β-Nrf2/NF-κB signaling axis. Front Immunol 9:2527–2527

    Article  Google Scholar 

Download references

Acknowledgments

We thank all the patients who participated in this study.

Funding

This study was funded by the National Natural Science Foundation of China [grant numbers 81601010, 81701039, 81870843]; Young Excellent Talents in Tongji University (22120180604), Key Disciplines Group Construction Project of Pudong Health Bureau of Shanghai [Grant No. PWZxq2017-08] and the Outstanding Leaders Training Program of Pudong new area health system of Shanghai [Grant No. PWRl2018-01].

Author information

Authors and Affiliations

Authors

Contributions

Kui Chen and Meng-Ruo Guo collected the PD and control data, performed the statistical analysis and drafted the manuscript. Yue Zhang and Gang Li collected the PD data. Bei Zhang and Yi Liu designed the study, supervised the study, double-checked the statistical analysis and revised the manuscript.

Corresponding authors

Correspondence to Yi Liu or Bei Zhang.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This study was approved by the ethic committee of Shanghai East hospital. All participants signed consent forms.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, K., Guo, MR., Zhang, Y. et al. Association between MMP16 rs60298754 and clinical phenotypes of Parkinson’s disease in southern Chinese. Neurol Sci 42, 3211–3215 (2021). https://doi.org/10.1007/s10072-020-04894-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10072-020-04894-5

Keywords

Navigation