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Role of CLU, PICALM, and TNK1 Genotypes in Aging With and Without Alzheimer's Disease

  • Davide Seripa*
  • , Francesco Panza
  • , Giulia Paroni
  • , Grazia D’Onofrio
  • , Paola Bisceglia
  • , Carolina Gravina
  • , Maria Urbano
  • , Madia Lozupone
  • , Vincenzo Solfrizzi
  • , Alessandra Bizzarro
  • , Virginia Boccardi
  • , Chiara Piccininni
  • , Antonio Daniele
  • , Giancarlo Logroscino
  • , Patrizia Mecocci
  • , Carlo Masullo
  • , Antonio Greco
  • *Corresponding author
  • IRCCS Ospedale Casa Sollievo della Sofferenza - San Giovanni Rotondo (FG)
  • University of Bari
  • University of Perugia

Research output: Contribution to journalArticle

Abstract

Healthy and impaired cognitive aging may be associated to different prevalences of single-nucleotide polymorphisms (SNPs). In a multicenter case-control association study, we studied the SNPs rs11136000 (clusterin, CLU), rs541458 (phosphatidylinositol binding clatrin assembly protein, PICALM), and rs1554948 (transcription factor A, and tyrosine kinase, non-receptor, 1, TNK1) according to the three age groups 50â 65 years (group 1), 66â 80 years (group 2), and 80+ years (group 3) in 569 older subjects without cognitive impairment (NoCI) and 520 Alzheimerâ s disease (AD) patients. In NoCI subjects, a regression analysis suggested a relationship between age and TNK1 genotypes, with the TNK1-A/A genotype frequency that increased with higher age, and resulting in a different distribution of the TNK1-A allele. In AD patients, a regression analysis suggested a relationship between age and PICALM genotypes and TNK1 genotypes, with the PICALM-T/C and TNK1-A/A genotype frequencies that decreased with increasing age. A resulting difference in the distribution of PICALM-C allele and TNK1-A allele was also observed. The TNK1-A allele was overrepresented in NoCI subjects than in AD patients in age groups 2 and 3. These results confirmed after adjustment for apolipoprotein E polymorphism, which suggested a different role of PICALM and TNK1 in healthy and impaired cognitive aging. More studies, however, are needed to confirm the observed associations.
Original languageEnglish
Pages (from-to)4333-4344
Number of pages12
JournalMolecular Neurobiology
Volume55
Issue number5
DOIs
Publication statusPublished - 2018

All Science Journal Classification (ASJC) codes

  • Neuroscience (miscellaneous)
  • Neurology
  • Cellular and Molecular Neuroscience

Keywords

  • Alzheimerâ s disease
  • Biogerontology
  • Brain aging
  • Cellular and Molecular Neuroscience
  • Cognition
  • Dementia
  • Genetics

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