4.5 Article

The Correlation between Inflammatory Biomarkers and Polygenic Risk Score in Alzheimer's Disease

Journal

JOURNAL OF ALZHEIMERS DISEASE
Volume 56, Issue 1, Pages 25-36

Publisher

IOS PRESS
DOI: 10.3233/JAD-160889

Keywords

Alzheimer's disease; biomarker; complement; inflammation; polygenic risk score

Categories

Funding

  1. Wellcome Trust [082604/2/07/Z]
  2. French National Foundation on Alzheimer's disease and Related Disorders
  3. LABEX (laboratory of Excellence Program Investment for the Future) DISTALZ grant
  4. Inserm
  5. Institut Pasteur de Lille
  6. Universite de Lille 2
  7. Lille University Hospital
  8. Medical Research Council [MR/K013041/1]
  9. Alzheimer's Research UK [ARUK-Network2011-4]
  10. German Federal Ministry of Education and Research (BMBF): Competence Network Dementia (CND) [01GI0102, 01GI0711, 01GI0420]
  11. NIH/NIA [R01 AG033193, U01 AG032984, U24 AG021886, U01 AG016976]
  12. NIA [AG081220]
  13. AGES [N01-AG-12100]
  14. NHLBI [R01 HL105756]
  15. Icelandic Heart Association
  16. Erasmus Medical Center
  17. Erasmus University
  18. Alzheimer's Association [ADGC-10-196728]
  19. NINDS
  20. Welsh Assembly Government
  21. Alzheimer's Society
  22. Ulster Garden Villages
  23. N. Ireland RD Office
  24. Royal College of Physicians/Dunhill Medical Trust
  25. Mercer's Institute for Research on Ageing
  26. Bristol Research into Alzheimer's and Care of the Elderly
  27. Charles Wolfson Charitable Trust
  28. NIH
  29. Barnes Jewish Foundation
  30. Charles and Joanne Knight Alzheimer's Research Initiative
  31. Lundbeck SA
  32. German Federal Ministry of Education and Research (BMBF), Competence Network Dementia and Competence Network Degenerative Dementia
  33. Alfried Krupp von Bohlen und Halbach-Stiftung
  34. Helmholtz Zentrum Munchen
  35. German Research Center for Environmental Health
  36. German National Genome Research Network
  37. Munich Center of Health Sciences
  38. Heinz Nixdorf Foundation
  39. Intramural Research Program of the National Institute on Aging
  40. National Institute of Diabetes and Digestive and Kidney Diseases
  41. National Institute of Allergy and Infectious Diseases
  42. National Human Genome Research Institute
  43. National Institute of Child Health and Human Development
  44. Juvenile Diabetes Research Foundation International
  45. MRC [G0801418, MR/N01104X/1, UKDRI-3003, MR/K013041/1, G0902227, G0300429, MR/L023784/1, G1001799, MR/L023784/2] Funding Source: UKRI
  46. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [R01HL105756] Funding Source: NIH RePORTER
  47. NATIONAL INSTITUTE ON AGING [U24AG021886, U01AG032984, R01AG033193, U01AG016976] Funding Source: NIH RePORTER
  48. Alzheimers Research UK [ARUK-PG2014-1] Funding Source: researchfish
  49. Medical Research Council [G0902227, MR/N01104X/1, MR/L501517/1, G1001799, MR/L023784/2, MR/L023784/1, G0801418, G0300429, UKDRI-3003, G0801418B, MR/L010305/1] Funding Source: researchfish

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Plasma biomarkers to aid the early diagnosis of Alzheimer's disease (AD) or to monitor disease progression have long been sought and continue to be widely studied. Biomarkers that correlate with AD polygenic risk score, a measure of the polygenic architecture of the disease and highly predictive of AD status, would be excellent candidates. Therefore, we undertook a preliminary study to assess the association of plasma inflammatory biomarkers with an overall AD polygenic risk score as well as with an inflammation-specific AD polygenic risk score in a sample set of 93 AD cases. We measured five complement biomarkers [complement receptor 1 (CR1), clusterin, complement component 9 (C9), C1 inhibitor (C1inh), terminal complement complex (TCC)] and the benchmark inflammatory marker C-reactive protein (CRP). Plasma clusterin level showed an association with overall AD polygenic risk score, while clusterin, C1inh, and CRP levels each displayed some association with the inflammatory-specific AD polygenic risk score. The results suggest that elevated plasma levels of inflammatory biomarkers, including complement proteins, associate with polygenic risk scores in AD, further strengthening the link between genetic and biomarker disease predictors and indicating a potential role for these markers in disease prediction and patient stratification in AD.

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