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Red cell distribution width levels in Parkinson’s disease patients

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Abstract

Parkinson’s disease (PD) is a neurodegenerative disorder with motor and non-motor impairment. It has been known for a while that oxidative stress, protein changes and mitochondrial dysfunction have the role of contribution to the pathogenesis. Disturbance of red blood cell function may play a role in the pathophysiology of neurodegenerative diseases such as Huntington’s, Parkinson’s and Alzheimer’s disease. RDW was found to be strongly associated with inflammatory markers in diseases such as acute pancreatitis, myocardial injury and hepatocellular carcinoma. The data about RDW levels and PD are scarce. In this study, we aimed to investigate the RDW values and their relationship with the severity of the disease in patients with Parkinson’s disease. 94 patients with Parkinson’s disease were included into the study, 97 healthy individuals without history of PD were considered as control group. The United Parkinson’s Disease Rating Scale (UPDRS) and the modified Hoehn and Yahr staging scale were used to assess the severity of PD. Although RDW levels were significantly higher than the healthy subjects, there was not any relation between the severity of PD, duration of the disease, RDW levels, other blood parameters, mean UPDRS score or mean mH&Y score. In conclusion, RDW levels are higher than the healthy subjects in PD patients but there is no relation between RDW levels and disease duration. Larger studies are needed to explain the role of RDW as an inflammatory marker.

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References

  1. Hald A, Lotharius J (2005) Oxidative stress and inflammation in Parkinson’s disease: is there a causal link? Exp Neurol 193:279–290

    Article  CAS  Google Scholar 

  2. Pretorius E, Swanepoel AC, Buys AV, Vermeulen N, Duim W, Kell DB (2014) Eryptosis as a marker of Parkinson’s disease. Aging (Albany NY) 6(10):788–819

    Article  CAS  Google Scholar 

  3. Qin YH, Wei YS, Meng LQ, Chen WC (2016) The role of red cell distribution width in patients with Parkinson’s disease. Int J Clin Exp Med 9(3):6143–6147

    CAS  Google Scholar 

  4. Tansey MG, Goldberg MS (2010) Neuroinflammation in Parkinson’s disease: its role in neuronal death and implications for therapeutic intervention. Neurobiol Dis 37(3):510–518

    Article  CAS  Google Scholar 

  5. Bosman GJCGM (2018) Disturbed red blood cell structure and function: an exploration of the role of red blood cells in neurodegeneration. Front Med 5:198

    Article  Google Scholar 

  6. McCormack MK, Lazzarini A, Toke D, Lepore F (1984) A genetic study of red cell osmotic fragility in Huntington’s disease. Am J Med Genet 18(1):5–11

    Article  CAS  Google Scholar 

  7. Olsson MG, Davidsson S, Muhammad ZD, Lahiri N, Tabrizi SJ, Akerstrom B et al (2012) Increased levels of hemoglobin and alpha1-microglobulin in Huntington’s disease. Front Biosci (Elite Ed) 1(4):950–957

    Google Scholar 

  8. Mohanty JG, Eckley DM, Williamson JD, Launer LJ, Rifkind JM (2008) Do red blood cell-beta-amyloid interactions alter oxygen delivery in Alzheimer’s disease? Adv Exp Med Biol 614:29–35

    Article  CAS  Google Scholar 

  9. Saito Y (2014) Oxidized DJ-1 as a possible biomarker of Parkinson’s disease. J Clin Biochem Nutr 54(3):138–144

    Article  CAS  Google Scholar 

  10. Saito Y, Hamakubo T, Yoshida Y, Ogawa Y, Hara Y, Fujimura H et al (2009) Preparation and application of monoclonal antibodies against oxidized DJ-1. Significant elevation of oxidized DJ-1 in erythrocytes of early-stage Parkinson disease patients. Neurosci Lett 465:1–5

    Article  CAS  Google Scholar 

  11. Abd-Elhadi S, Honig A, Simhi-Haham D, Schechter M, Linetsky E, Ben-Hur T et al (2015) Total and proteinase K-resistant α-synuclein levels in erythrocytes, determined by their ability to bind phospholipids, associate with Parkinson’s disease. Sci Rep 11(5):11120

    Article  Google Scholar 

  12. McKenzie SD (2003) Introduction to anemia. In: McKenzie SB, Williams L (eds) Clinical laboratory hematology. Pearson Prentice-Hall, Upper Saddle River, NJ, pp 161–188

    Google Scholar 

  13. Pilling LC, Atkins JL, Duff MO, Beaumont RN, Jones SE, Tyrrell J et al (2017) Red blood cell distribution width: genetic evidence for aging pathways in 116,666 volunteers. PLoS ONE 12(9):e0185083

    Article  Google Scholar 

  14. Peng YF, Cao WY, Zhang Q, Chen D, Zhang ZX (2015) Assessment of the relationship between red cell distribution width and multiple sclerosis. Medicine 94:e1182

    Article  Google Scholar 

  15. Tenekecioglu E, Yilmaz M, Yontar OC, Bekler A, Peker T, Karaagac K et al (2015) Red blood cell distribution width is associated with myocardial injury in non-ST-elevation acute coronary syndrome. Clinics (Sao Paulo) 70(1):18–23

    Article  Google Scholar 

  16. Smirne C, Grossi G, Pinato DJ, Burlone ME, Mauri FA, Januszewski A et al (2015) Evaluation of the red cell distribution width as a biomarker of early mortality in hepatocellular carcinoma. Dig Liver Dis 47:488–494

    Article  Google Scholar 

  17. Tonelli M, Sacks F, Arnold M, Moye L, Davis B, Pfeffer M (2008) Relation between red blood cell distribution width and cardiovascular event rate in people with coronary disease. Circulation 117(2):163–168

    Article  Google Scholar 

  18. Peng YF, Zhong SM, Luo B, Qin YH, Wei YS (2016) Evaluation of red cell distribution width and neutrophil to lymphocyte ratio in patients with major depressive disorder. Int J Clin Exp Med 9:3242–3246

    CAS  Google Scholar 

  19. Sharma R, Agrawall VV (2015) The relationship between red blood cell distribution width (rdw cv) and C reactive protein (crp) with the clinical outcomes in non-ST elevation myocardial infarction and unstable angina pectoris: a 6 months follow up study. Int Cardiovasc Forum J 2:27–31

    Google Scholar 

  20. Beal MF (2003) Mitocondria, oxidative damage, and inflammation in Parkinson’s disease. Ann N Y Acad Sci 991:120–131

    Article  CAS  Google Scholar 

  21. Amor S, Peferoen LA, Vogel DY, Breur M, van der Valk P, Baker D et al (2014) Inflammation in neurodegenerative diseases: an update. Immunulogy 142(2):151–166

    Article  CAS  Google Scholar 

  22. Farooqui T, Farooqui AA (2011) Lipid-mediated oxidative stress and inflammation in the pathogenesis of Parkinson’s disease. Parkinsons Dis 15(2011):247467

    Google Scholar 

  23. Koziorowski D, Tomasiuk R, Szlufik S, Friedman A (2012) Inflammatory cytokines and NT-proCNP in Parkinson’s disease patients. Cytokine 60:762–766

    Article  CAS  Google Scholar 

  24. Hirsch EC, Hunot S (2009) Neuroinflammation in Parkinson’s disease: a target for neuroprotection? Lancet Neurol 8:382–397

    Article  CAS  Google Scholar 

  25. Lee HJ, Suk JE, Patrick C, Bae EJ, Cho JH, Rho S et al (2010) Direct transfer of alpha-synuclein from neuron to astroglia causes inflammatory responses in synucleinopathies. J Biol Chem 285:9262–9272

    Article  CAS  Google Scholar 

  26. Lippi G, Tragher G, Montagnana M, Salvagno GL, Zoppini G, Guidi GC (2009) Relation between red blood cell distribution width and inflammatory biomarkers in a large cohort of unselected outpatients. Arch Pathol Lab Med 133:628–632

    CAS  PubMed  Google Scholar 

  27. Vaya A, Sarnago A, Fuster O, Alis R, Romagnoli M (2015) Influence of inflammatory and lipidic parameters on red blood cell distribution width in a healthy population. Clin Hemorheol Microcirc 59:379–385

    Article  CAS  Google Scholar 

  28. Li N, Zhou H, Tang Q (2017) Red blood cell distribution width: a novel predictive indicator for cardiovascular and cerebrovascular diseases. Dis Markers. https://doi.org/10.1155/2017/7089493

    Article  PubMed  PubMed Central  Google Scholar 

  29. Pierce CN, Larson DF (2005) İnflammaory cytokine inhibition of erythropoiesis in patients implanted with a mechanical circulatory assist device. Perfusion 20:83–90

    Article  Google Scholar 

  30. Carnevali S, Petruzzelli S, Longoni B, Vanacore R, Barale R, Cipollini M et al (2003) Cigarette smoke extract induces oxidative stress and apoptosis in human lung fibroblasts. Am J Physiol Lung Cell Mol Physiol 284:955–963

    Article  Google Scholar 

  31. Skjelbakken T, Lappegard J, Ellingsen TS, Barret-Connor E, Brox J, Løchen ML et al (2014) Red blood cell distribution width is associated with incident myocardial infarction in a general population: the Tromso study. J Am Heart Assoc 3:845–847

    Article  Google Scholar 

  32. Racette BA, Gross A, Vouri SM, Camacho-Soto A, Willis AW, Nielsen SS (2018) Immunosupressants and risk of Parkinson disease. Ann Clin Transl Neurol 5:870–875

    Article  CAS  Google Scholar 

  33. Hu Z (2016) Red blood cell distribution width: a promising index for estimating activity of autoimmune disease. J Lab Precis Med 1(2):1–6

    Google Scholar 

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Authors and Affiliations

  1. Department of Neurology, Bahcesehir University Medical Faculty, Istanbul, Turkey

    G. Kenangil

  2. Neurology Department, Erenkoy Mental Health and Neurological Sciences Training and Research Hospital, Istanbul, Turkey

    B. C. Ari, F. A. Kaya, M. Demir & F. M. Domac

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  1. G. Kenangil
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  2. B. C. Ari
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  3. F. A. Kaya
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  4. M. Demir
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  5. F. M. Domac
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Correspondence to G. Kenangil.

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Kenangil, G., Ari, B.C., Kaya, F.A. et al. Red cell distribution width levels in Parkinson’s disease patients. Acta Neurol Belg 120, 1147–1150 (2020). https://doi.org/10.1007/s13760-019-01197-1

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  • DOI: https://doi.org/10.1007/s13760-019-01197-1

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