Display options
Cite
Fernández-Eulate G, Alberro A, Muñoz-Culla M, et al. Blood Markers in Healthy-Aged Nonagenarians: A Combination of High Telomere Length and Low Amyloidβ Are Strongly Associated With Healthy Aging in the Oldest Old. Front Aging Neurosci. 2018;10:380doi: 10.3389/fnagi.2018.00380.
Fernández-Eulate, G., Alberro, A., Muñoz-Culla, M., Zulaica, M., Zufiría, M., Barandiarán, M., Etxeberria, I., Yanguas, J. J., Gallardo, M. M., Soberón, N., Lacosta, A. M., Pérez-Grijalba, V., Canudas, J., Fandos, N., Pesini, P., Sarasa, M., Indakoetxea, B., Moreno, F., Vergara, I., Otaegui, D., Blasco, M., & López de Munain, A. (2018). Blood Markers in Healthy-Aged Nonagenarians: A Combination of High Telomere Length and Low Amyloidβ Are Strongly Associated With Healthy Aging in the Oldest Old. Frontiers in aging neuroscience, 10380. https://doi.org/10.3389/fnagi.2018.00380
Fernández-Eulate, Gorka, et al. "Blood Markers in Healthy-Aged Nonagenarians: A Combination of High Telomere Length and Low Amyloidβ Are Strongly Associated With Healthy Aging in the Oldest Old." Frontiers in aging neuroscience vol. 10 (2018): 380. doi: https://doi.org/10.3389/fnagi.2018.00380
Fernández-Eulate G, Alberro A, Muñoz-Culla M, Zulaica M, Zufiría M, Barandiarán M, Etxeberria I, Yanguas JJ, Gallardo MM, Soberón N, Lacosta AM, Pérez-Grijalba V, Canudas J, Fandos N, Pesini P, Sarasa M, Indakoetxea B, Moreno F, Vergara I, Otaegui D, Blasco M, López de Munain A. Blood Markers in Healthy-Aged Nonagenarians: A Combination of High Telomere Length and Low Amyloidβ Are Strongly Associated With Healthy Aging in the Oldest Old. Front Aging Neurosci. 2018 Nov 28;10:380. doi: 10.3389/fnagi.2018.00380. eCollection 2018. PMID: 30546303; PMCID: PMC6280560.
Copy Download .nbib Format: NLM
Share it on

Front Aging Neurosci. 2018 Nov 28;10:380. doi: 10.3389/fnagi.2018.00380. eCollection 2018.

Blood Markers in Healthy-Aged Nonagenarians: A Combination of High Telomere Length and Low Amyloidβ Are Strongly Associated With Healthy Aging in the Oldest Old.

Frontiers in aging neuroscience

Gorka Fernández-Eulate, Ainhoa Alberro, Maider Muñoz-Culla, Miren Zulaica, Mónica Zufiría, Myriam Barandiarán, Igone Etxeberria, José Javier Yanguas, Maria Mercedes Gallardo, Nora Soberón, Ana María Lacosta, Virginia Pérez-Grijalba, Jesús Canudas, Noelia Fandos, Pedro Pesini, Manuel Sarasa, Begoña Indakoetxea, Fermin Moreno, Itziar Vergara, David Otaegui, Maria Blasco, Adolfo López de Munain

Affiliations

  1. Department of Neurology, Donostia Universitary Hospital, San Sebastián, Spain.
  2. Neurosciences Area, Biodonostia Health Research Institute, San Sebastián, Spain.
  3. Department of Personality, Assessment, and Psychological Treatments, Faculty of Psychology, University of the Basque UPV/EHU, San Sebastián, Spain.
  4. Matia Fundazioa, San Sebastián, Spain.
  5. Telomeres & Telomerase Group, Molecular Oncology Programme, Spanish National Cancer Research Center, Madrid, Spain.
  6. Araclon Biotech, Zaragoza, Spain.
  7. Primary Health Area, Biodonostia Institute, San Sebastián, Spain.
  8. Health Services Research on Chronic Patients Network, REDISSEC, Bilbao, Spain.
  9. Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto Carlos III, Madrid, Spain.
  10. Department of Neurosciences, University of the Basque Country, San Sebastián, Spain.

PMID: 30546303 PMCID: PMC6280560 DOI: 10.3389/fnagi.2018.00380

Abstract

Many factors may converge in healthy aging in the oldest old, but their association and predictive power on healthy or functionally impaired aging has yet to be demonstrated. By detecting healthy aging and in turn, poor aging, we could take action to prevent chronic diseases associated with age. We conducted a pilot study comparing results of a set of markers (peripheral blood mononuclear cell or PBMC telomere length, circulating Aβ peptides, anti-Aβ antibodies, and ApoE status) previously associated with poor aging or cognitive deterioration, and their combinations, in a cohort of "neurologically healthy" (both motor and cognitive) nonagenarians (

Keywords: Amyloid-β; aging; composite neurologically healthy aging score; elders; telomere

References

  1. Ann Neurol. 2006 Aug;60(2):181-7 - PubMed
  2. Mech Ageing Dev. 2005 Feb;126(2):341-5 - PubMed
  3. Proc Natl Acad Sci U S A. 2007 Mar 27;104(13):5300-5 - PubMed
  4. Lancet. 1991 May 11;337(8750):1158-9 - PubMed
  5. PLoS One. 2010 Jan 08;5(1):e8612 - PubMed
  6. J Gerontol A Biol Sci Med Sci. 2001 Mar;56(3):M146-56 - PubMed
  7. Age Ageing. 2007 Nov;36(6):650-5 - PubMed
  8. Neurobiol Aging. 2003 Jan-Feb;24(1):77-84 - PubMed
  9. PLoS One. 2010 Sep 27;5(9):e13048 - PubMed
  10. J Am Geriatr Soc. 2006 Jun;54(6):991-1001 - PubMed
  11. J Alzheimers Dis. 2015;43(1):47-56 - PubMed
  12. Arch Intern Med. 2001 Jul 9;161(13):1645-52 - PubMed
  13. ScientificWorldJournal. 2001 Aug 08;1:323-36 - PubMed
  14. Philos Trans R Soc Lond B Biol Sci. 2011 Jan 12;366(1561):76-84 - PubMed
  15. Alzheimers Dement. 2017 Aug;13(8):841-849 - PubMed
  16. Nat Rev Genet. 2006 Jun;7(6):436-48 - PubMed
  17. Mol Psychiatry. 2017 Jan;22(1):153-160 - PubMed
  18. Lancet Neurol. 2010 Jan;9(1):119-28 - PubMed
  19. Alzheimers Res Ther. 2018 Jan 29;10(1):12 - PubMed
  20. Nature. 2018 Feb 8;554(7691):249-254 - PubMed
  21. J Alzheimers Dis. 2016 Sep 6;54(2):751-62 - PubMed
  22. Neurology. 2017 Sep 5;89(10):1028-1034 - PubMed
  23. J Neuropathol Exp Neurol. 2003 Nov;62(11):1087-95 - PubMed
  24. Nat Rev Genet. 2012 Oct;13(10):693-704 - PubMed
  25. Neurosci Lett. 2003 Mar 13;339(1):85-7 - PubMed
  26. Neurobiol Aging. 2009 Nov;30(11):1728-36 - PubMed
  27. Mech Ageing Dev. 2015 Dec;152:74-9 - PubMed
  28. Hum Mol Genet. 2014 Mar 1;23(5):1365-75 - PubMed
  29. Autoimmun Rev. 2008 Jun;7(6):415-20 - PubMed
  30. Front Immunol. 2016 Apr 07;7:127 - PubMed
  31. Cell. 2013 Jun 6;153(6):1194-217 - PubMed
  32. Curr Biol. 2012 Sep 11;22(17):R741-52 - PubMed
  33. Gerontology. 2014;60(1):16-21 - PubMed
  34. PLoS One. 2012;7(1):e29848 - PubMed
  35. J Clin Epidemiol. 1989;42(8):703-9 - PubMed
  36. Md State Med J. 1965 Feb;14:61-5 - PubMed
  37. Exp Gerontol. 2014 Oct;58:250-5 - PubMed
  38. J Neurol Neurosurg Psychiatry. 2017 Feb;88(2):106-112 - PubMed
  39. J Neuropathol Exp Neurol. 2016 Apr;75(4):316-25 - PubMed
  40. J Neurol Sci. 2005 Oct 15;237(1-2):61-5 - PubMed
  41. CMAJ. 2005 Aug 30;173(5):489-95 - PubMed
  42. Cold Spring Harb Perspect Med. 2015 Sep 18;5(10):null - PubMed
  43. Clin Epigenetics. 2016 Feb 26;8:21 - PubMed
  44. Front Cell Neurosci. 2015 Mar 25;9:103 - PubMed
  45. Trends Pharmacol Sci. 2015 May;36(5):297-309 - PubMed
  46. Philos Trans R Soc Lond B Biol Sci. 2011 Jan 12;366(1561):43-50 - PubMed
  47. JAMA Neurol. 2015 Oct;72(10):1202-3 - PubMed
  48. Arch Intern Med. 2008 Jan 28;168(2):154-8 - PubMed
  49. Neurology. 2017 May 2;88(18):1768-1775 - PubMed
  50. Front Biosci (Elite Ed). 2010 Jun 01;2:1164-8 - PubMed
  51. Exp Gerontol. 2010 Feb;45(2):149-57 - PubMed
  52. Biol Psychiatry. 2018 Feb 15;83(4):311-319 - PubMed
  53. Neuropsychiatr Dis Treat. 2015 Jul 16;11:1723-37 - PubMed
  54. Mov Disord. 2018 Feb;33(2):282-288 - PubMed
  55. J Gerontol A Biol Sci Med Sci. 2007 Jul;62(7):722-7 - PubMed
  56. Alzheimers Dement (Amst). 2017 Sep 12;8:179-187 - PubMed
  57. Immun Ageing. 2008 Sep 03;5:9 - PubMed
  58. Mech Ageing Dev. 2008 Apr;129(4):183-90 - PubMed
  59. Mech Ageing Dev. 2006 Nov;127(11):840-8 - PubMed
  60. Arch Gen Psychiatry. 2004 May;61(5):518-24 - PubMed
  61. Cancer Prev Res (Phila). 2011 Apr;4(4):514-21 - PubMed
  62. Int Rev Neurobiol. 2017;132:275-294 - PubMed
  63. J Hum Genet. 2014 Oct;59(10):555-61 - PubMed
  64. Mech Ageing Dev. 2002 Jan;123(2-3):231-42 - PubMed

Publication Types